WorldWideScience

Sample records for approach matching gene

  1. Approaches for Stereo Matching

    Directory of Open Access Journals (Sweden)

    Takouhi Ozanian

    1995-04-01

    Full Text Available This review focuses on the last decade's development of the computational stereopsis for recovering three-dimensional information. The main components of the stereo analysis are exposed: image acquisition and camera modeling, feature selection, feature matching and disparity interpretation. A brief survey is given of the well known feature selection approaches and the estimation parameters for this selection are mentioned. The difficulties in identifying correspondent locations in the two images are explained. Methods as to how effectively to constrain the search for correct solution of the correspondence problem are discussed, as are strategies for the whole matching process. Reasons for the occurrence of matching errors are considered. Some recently proposed approaches, employing new ideas in the modeling of stereo matching in terms of energy minimization, are described. Acknowledging the importance of computation time for real-time applications, special attention is paid to parallelism as a way to achieve the required level of performance. The development of trinocular stereo analysis as an alternative to the conventional binocular one, is described. Finally a classification based on the test images for verification of the stereo matching algorithms, is supplied.

  2. Review og pattern matching approaches

    DEFF Research Database (Denmark)

    Manfaat, D.; Duffy, Alex; Lee, B. S.

    1996-01-01

    This paper presents a review of pattern matching techniques. The application areas for pattern matching are extensive, ranging from CAD systems to chemical analysis and from manufacturing to image processing. Published techniques and methods are classified and assessed within the context of three...... key issues: pattern classes, similiarity types and mathing methods. It has been shown that the techniques and approaches are as diverse and varied as the applications.......This paper presents a review of pattern matching techniques. The application areas for pattern matching are extensive, ranging from CAD systems to chemical analysis and from manufacturing to image processing. Published techniques and methods are classified and assessed within the context of three...

  3. Personalized Medicine: Matching Treatments to Your Genes

    Science.gov (United States)

    ... disclaimer . Subscribe Personalized Medicine Matching Treatments to Your Genes You’re one of a kind. It’s not ... personalized medicine begins with the unique set of genes you inherited from your parents. Genes are stretches ...

  4. A Novel Image Correlation Matching Approach

    Directory of Open Access Journals (Sweden)

    Baoming Shan

    2010-06-01

    Full Text Available In this paper we present a novel approach which is combined local invariant feature descriptor named ARPIH (Angular Radial Partitioning Intensity Histogram with histogram-based similar distance (HSD. The approach succeeds the ARPIH descriptor’s distinctive advantage and provides higher robustness in deformation image matching, such as rotation image, illumination changing image and perspective image, etc. Based on the MCD algorithm, we present the HSD algorithm. This algorithm transforms the image matching into the histogram matching by calculating the number of the similar points between template histogram and target histogram in order to decrease the calculation complicacy and improve the matching efficiency. A large amount groups of images are used in testing the approach presented in this paper. The matching results presented here indicate that the presented algorithm is efficient to figure out both the geometric deformation image matching and the illumination changing image matching. Contrast with the traditional matching algorithm, the approach presented in this paper has the obvious advantage of high matching precision, robustness and performance efficiency.

  5. A New Approach for Semantic Web Matching

    Science.gov (United States)

    Zamanifar, Kamran; Heidary, Golsa; Nematbakhsh, Naser; Mardukhi, Farhad

    In this work we propose a new approach for semantic web matching to improve the performance of Web Service replacement. Because in automatic systems we should ensure the self-healing, self-configuration, self-optimization and self-management, all services should be always available and if one of them crashes, it should be replaced with the most similar one. Candidate services are advertised in Universal Description, Discovery and Integration (UDDI) all in Web Ontology Language (OWL). By the help of bipartite graph, we did the matching between the crashed service and a Candidate one. Then we chose the best service, which had the maximum rate of matching. In fact we compare two services' functionalities and capabilities to see how much they match. We found that the best way for matching two web services, is comparing the functionalities of them.

  6. A graph theoretic approach to scene matching

    Science.gov (United States)

    Ranganath, Heggere S.; Chipman, Laure J.

    1991-08-01

    The ability to match two scenes is a fundamental requirement in a variety of computer vision tasks. A graph theoretic approach to inexact scene matching is presented which is useful in dealing with problems due to imperfect image segmentation. A scene is described by a set of graphs, with nodes representing objects and arcs representing relationships between objects. Each node has a set of values representing the relations between pairs of objects, such as angle, adjacency, or distance. With this method of scene representation, the task in scene matching is to match two sets of graphs. Because of segmentation errors, variations in camera angle, illumination, and other conditions, an exact match between the sets of observed and stored graphs is usually not possible. In the developed approach, the problem is represented as an association graph, in which each node represents a possible mapping of an observed region to a stored object, and each arc represents the compatibility of two mappings. Nodes and arcs have weights indicating the merit or a region-object mapping and the degree of compatibility between two mappings. A match between the two graphs corresponds to a clique, or fully connected subgraph, in the association graph. The task is to find the clique that represents the best match. Fuzzy relaxation is used to update the node weights using the contextual information contained in the arcs and neighboring nodes. This simplifies the evaluation of cliques. A method of handling oversegmentation and undersegmentation problems is also presented. The approach is tested with a set of realistic images which exhibit many types of sementation errors.

  7. A graph theoretic approach to scene matching

    Science.gov (United States)

    Ranganath, Heggere S.; Chipman, Laure J.

    1991-01-01

    The ability to match two scenes is a fundamental requirement in a variety of computer vision tasks. A graph theoretic approach to inexact scene matching is presented which is useful in dealing with problems due to imperfect image segmentation. A scene is described by a set of graphs, with nodes representing objects and arcs representing relationships between objects. Each node has a set of values representing the relations between pairs of objects, such as angle, adjacency, or distance. With this method of scene representation, the task in scene matching is to match two sets of graphs. Because of segmentation errors, variations in camera angle, illumination, and other conditions, an exact match between the sets of observed and stored graphs is usually not possible. In the developed approach, the problem is represented as an association graph, in which each node represents a possible mapping of an observed region to a stored object, and each arc represents the compatibility of two mappings. Nodes and arcs have weights indicating the merit or a region-object mapping and the degree of compatibility between two mappings. A match between the two graphs corresponds to a clique, or fully connected subgraph, in the association graph. The task is to find the clique that represents the best match. Fuzzy relaxation is used to update the node weights using the contextual information contained in the arcs and neighboring nodes. This simplifies the evaluation of cliques. A method of handling oversegmentation and undersegmentation problems is also presented. The approach is tested with a set of realistic images which exhibit many types of sementation errors.

  8. Improved Approach for Exact Pattern Matching (Bidirectional Exact Pattern Matching)

    OpenAIRE

    Hussain, Iftikhar; Kausar, Samina; Hussain, Liaqat; Asif Khan, Muhammad

    2013-01-01

    In this research we present Bidirectional exact pattern matching algorithm [20] in detail. Bidirectional (BD) exact pattern matching (EPM) introduced a new idea to compare pattern with Selected Text Window (STW) of text string by using two pointers (right and left) simultaneously in searching phase. In preprocessing phase Bidirectional EPM algorithm improved the shift decision by comparing rightmost and mismatched character of Partial Text Window (PTW) to the left of pattern at sa...

  9. Matching Alternative Addresses: a Semantic Web Approach

    Science.gov (United States)

    Ariannamazi, S.; Karimipour, F.; Hakimpour, F.

    2015-12-01

    Rapid development of crowd-sourcing or volunteered geographic information (VGI) provides opportunities for authoritatives that deal with geospatial information. Heterogeneity of multiple data sources and inconsistency of data types is a key characteristics of VGI datasets. The expansion of cities resulted in the growing number of POIs in the OpenStreetMap, a well-known VGI source, which causes the datasets to outdate in short periods of time. These changes made to spatial and aspatial attributes of features such as names and addresses might cause confusion or ambiguity in the processes that require feature's literal information like addressing and geocoding. VGI sources neither will conform specific vocabularies nor will remain in a specific schema for a long period of time. As a result, the integration of VGI sources is crucial and inevitable in order to avoid duplication and the waste of resources. Information integration can be used to match features and qualify different annotation alternatives for disambiguation. This study enhances the search capabilities of geospatial tools with applications able to understand user terminology to pursuit an efficient way for finding desired results. Semantic web is a capable tool for developing technologies that deal with lexical and numerical calculations and estimations. There are a vast amount of literal-spatial data representing the capability of linguistic information in knowledge modeling, but these resources need to be harmonized based on Semantic Web standards. The process of making addresses homogenous generates a helpful tool based on spatial data integration and lexical annotation matching and disambiguating.

  10. A Bayesian, exemplar-based approach to hierarchical shape matching.

    Science.gov (United States)

    Gavrila, Dariu M

    2007-08-01

    This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise similarity measure. The approach uses a template tree to efficiently represent and match the variety of shape exemplars. The tree is generated offline by a bottom-up clustering approach using stochastic optimization. Online matching involves a simultaneous coarse-to-fine approach over the template tree and over the transformation parameters. The main contribution of this paper is a Bayesian model to estimate the a posteriori probability of the object class, after a certain match at a node of the tree. This model takes into account object scale and saliency and allows for a principled setting of the matching thresholds such that unpromising paths in the tree traversal process are eliminated early on. The proposed approach was tested in a variety of application domains. Here, results are presented on one of the more challenging domains: real-time pedestrian detection from a moving vehicle. A significant speed-up is obtained when comparing the proposed probabilistic matching approach with a manually tuned nonprobabilistic variant, both utilizing the same template tree structure. PMID:17568144

  11. Iris Matching Based On a Stack Like Structure Graph Approach

    Directory of Open Access Journals (Sweden)

    Roushdi Mohamed FAROUK

    2012-12-01

    Full Text Available In this paper, we present the elastic bunch graph matching as a new approach for iris recognition. The task is difficult because of iris variation in terms of position, size, and partial occlusion. We have used the circular Hough transform to determine the iris boundaries. Individual segmented irises are represented as labeled graphs. We have combined a representative set of individual model graphs into a stack like structure called an iris bunch graph (IBG. Finally, a bunch graph similarity function is proposed to compare a test graph with the IBG. Recognition results are given for galleries of irises from CASIA version and UBIRIS databases. The numerical results show that, the elastic bunch graph matching is an effective technique for iris matching. We also compare our results with previous results and find that, the elastic bunch graph matching is an effective matching performance.

  12. Matching Genes and Vitamins: A Personalized Plan May Be in Your Future

    Science.gov (United States)

    ... 401 kb) Arm Yourself for Good Health Matching Genes and Vitamins Matching Genes and Vitamins A Personalized Plan May Be in ... in the DNA sequences that make up our genes . These changes can occur naturally. Since our DNA ...

  13. Efficient wave-function matching approach for quantum transport calculations

    DEFF Research Database (Denmark)

    Sørensen, Hans Henrik Brandenborg; Hansen, Per Christian; Petersen, Dan Erik;

    2009-01-01

    The wave-function matching (WFM) technique has recently been developed for the calculation of electronic transport in quantum two-probe systems. In terms of efficiency it is comparable to the widely used Green's function approach. The WFM formalism presented so far requires the evaluation of all...... calculation. This approach makes it feasible to apply iterative techniques to efficiently determine the few required bulk modes, which allows for a significant reduction of the computational expense of the WFM method. We illustrate the efficiency of the method on a carbon nanotube field...

  14. Privacy–Preserving Friend Matching Protocol approach for Pre-match in Social Networks

    DEFF Research Database (Denmark)

    Ople, Shubhangi S.; Deshmukh, Aaradhana A.; Mihovska, Albena Dimitrova;

    2016-01-01

    for use in social networks due to its data sharing problems and information leakage. In this paper, we propose a novel framework for privacy–preserving profile matching. We implement both the client and server portion of the secure match and evaluate its performance network dataset. The results show...... that a secure match can achieve at least one order of accuracy and better computational performance than the techniques that use homomorphic encryption.It can handle and tackle new characteristics and an environment for a particular application in a mobile social network.......Social services make the most use of the user profile matching to help the users to discover friends with similar social attributes (e.g. interests, location, age). However, there are many privacy concerns that prevent to enable this functionality. Privacy preserving encryption is not suitable...

  15. Combinatorial approaches to gene recognition.

    Science.gov (United States)

    Roytberg, M A; Astakhova, T V; Gelfand, M S

    1997-01-01

    Recognition of genes via exon assembly approaches leads naturally to the use of dynamic programming. We consider the general graph-theoretical formulation of the exon assembly problem and analyze in detail some specific variants: multicriterial optimization in the case of non-linear gene-scoring functions; context-dependent schemes for scoring exons and related procedures for exon filtering; and highly specific recognition of arbitrary gene segments, oligonucleotide probes and polymerase chain reaction (PCR) primers. PMID:9440930

  16. A network approach in analysis of the matching hypothesis

    Science.gov (United States)

    Jia, Tao; Spivey, Robert; Korniss, Gyorgy; Szymanski, Boleslaw

    2014-03-01

    The matching hypothesis in social psychology claimed that people are more likely to form a committed relationship with someone who is equally attractive. This phenomenon can be well interpreted by the principle of homophily that people are apt to get in touch with others similar to them. Yet, social experiments indicate that people in general tend to prefer more attractive individuals regardless of their own attractiveness. Here study the stochastic matching process for different underlying networks and different attractiveness distributions. We showed that the correlation of attractiveness within couples could purely due to the limited number of acquaintance each person has and such correlation decreases as the network becomes more sparse. We also analyzed the effect of the degree distribution and the attractiveness on the number of individuals that can not find their partners. This work is supported by ARL NS-CTA, ARO, and ONR.

  17. FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data

    OpenAIRE

    Nielsen Henrik B; Manijak Mieszko P

    2011-01-01

    Abstract Background Although, systematic analysis of gene annotation is a powerful tool for interpreting gene expression data, it sometimes is blurred by incomplete gene annotation, missing expression response of key genes and secondary gene expression responses. These shortcomings may be partially circumvented by instead matching gene expression signatures to signatures of other experiments. Findings To facilitate this we present the Functional Association Response by Overlap (FARO) server, ...

  18. Some New Approaches to Solving Constrained Transfer Line Matching Problems

    International Nuclear Information System (INIS)

    A common type of matching problem involves finding the strengths for four (4) quadrupoles in a transfer line, that will transport a particular beam at the entrance, to produce a beam at the exit of the line with a specified set of horizontal and vertical Twiss parameters. A number of optics programs may be used to find a solution to this type of problem, but the quadrupole strengths obtained are not always satisfactory or optimal with regard to other requirements. The non-uniqueness of the solutions (different solutions have different phase advances) offers the possibility that some of these other requirements could be used to differentiate between solutions. The constrained, nonlinear, optimization program NPSOL has been integrated into a software package that can use the outputs of various optics codes to formulate nonlinear constraints and objective (merit) functions. The package has been used to look for different solutions for the SLAC transfer lines between linac sectors 1 and 2 for three configurations involving (a) the electron damping ring, (b) the damping ring by-pass, and (c) the positron damping ring. The software is briefly described and a summary of selected results obtained to date is presented

  19. Overcoming the matched-sample bottleneck: an orthogonal approach to integrate omic data.

    Science.gov (United States)

    Nguyen, Tin; Diaz, Diana; Tagett, Rebecca; Draghici, Sorin

    2016-01-01

    MicroRNAs (miRNAs) are small non-coding RNA molecules whose primary function is to regulate the expression of gene products via hybridization to mRNA transcripts, resulting in suppression of translation or mRNA degradation. Although miRNAs have been implicated in complex diseases, including cancer, their impact on distinct biological pathways and phenotypes is largely unknown. Current integration approaches require sample-matched miRNA/mRNA datasets, resulting in limited applicability in practice. Since these approaches cannot integrate heterogeneous information available across independent experiments, they neither account for bias inherent in individual studies, nor do they benefit from increased sample size. Here we present a novel framework able to integrate miRNA and mRNA data (vertical data integration) available in independent studies (horizontal meta-analysis) allowing for a comprehensive analysis of the given phenotypes. To demonstrate the utility of our method, we conducted a meta-analysis of pancreatic and colorectal cancer, using 1,471 samples from 15 mRNA and 14 miRNA expression datasets. Our two-dimensional data integration approach greatly increases the power of statistical analysis and correctly identifies pathways known to be implicated in the phenotypes. The proposed framework is sufficiently general to integrate other types of data obtained from high-throughput assays. PMID:27403564

  20. A Generic Approach for Combining Linguistic and Context Profile Metrics in Ontology Matching

    OpenAIRE

    Ngo, Duy Hoa; Bellahsene, Zohra; Coletta, Remi

    2011-01-01

    Ontology matching is needed in many application domains. In this paper, we present a machine learning approach for combining metrics, which exploits various linguistic and context profiles features in order to discover mappings between entities of different ontologies. Our approach has been implemented and the experimental results over Benchmark and Conference test cases on OAEI 2010 campaign demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility.

  1. A computationally efficient approach for template matching-based image registration

    Indian Academy of Sciences (India)

    Vilas H Gaidhane; Yogesh V Hote; Vijander Singh

    2014-04-01

    Image registration using template matching is an important step in image processing. In this paper, a simple, robust and computationally efficient approach is presented. The proposed approach is based on the properties of a normalized covariance matrix. The main advantage of the proposed approach is that the image matching can be achieved without calculating eigenvalues and eigenvectors of a covariance matrix, hence reduces the computational complexity. The experimental results show that the proposed approach performs better in the presence of various noises and rigid geometric transformations.

  2. Matching theory

    CERN Document Server

    Plummer, MD

    1986-01-01

    This study of matching theory deals with bipartite matching, network flows, and presents fundamental results for the non-bipartite case. It goes on to study elementary bipartite graphs and elementary graphs in general. Further discussed are 2-matchings, general matching problems as linear programs, the Edmonds Matching Algorithm (and other algorithmic approaches), f-factors and vertex packing.

  3. FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data

    DEFF Research Database (Denmark)

    Manijak, Mieszko P.; Nielsen, Henrik Bjørn

    2011-01-01

    BACKGROUND: Although, systematic analysis of gene annotation is a powerful tool for interpreting gene expression data, it sometimes is blurred by incomplete gene annotation, missing expression response of key genes and secondary gene expression responses. These shortcomings may be partially...... circumvented by instead matching gene expression signatures to signatures of other experiments. FINDINGS: To facilitate this we present the Functional Association Response by Overlap (FARO) server, that match input signatures to a compendium of 242 gene expression signatures, extracted from more than 1700...... Arabidopsis microarray experiments. CONCLUSIONS: Hereby we present a publicly available tool for robust characterization of Arabidopsis gene expression experiments which can point to similar experimental factors in other experiments. The server is available at http://www.cbs.dtu.dk/services/faro/....

  4. FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data

    Directory of Open Access Journals (Sweden)

    Nielsen Henrik B

    2011-06-01

    Full Text Available Abstract Background Although, systematic analysis of gene annotation is a powerful tool for interpreting gene expression data, it sometimes is blurred by incomplete gene annotation, missing expression response of key genes and secondary gene expression responses. These shortcomings may be partially circumvented by instead matching gene expression signatures to signatures of other experiments. Findings To facilitate this we present the Functional Association Response by Overlap (FARO server, that match input signatures to a compendium of 242 gene expression signatures, extracted from more than 1700 Arabidopsis microarray experiments. Conclusions Hereby we present a publicly available tool for robust characterization of Arabidopsis gene expression experiments which can point to similar experimental factors in other experiments. The server is available at http://www.cbs.dtu.dk/services/faro/.

  5. A matching approach to communicate through the plasma sheath surrounding a hypersonic vehicle

    International Nuclear Information System (INIS)

    In order to overcome the communication blackout problem suffered by hypersonic vehicles, a matching approach has been proposed for the first time in this paper. It utilizes a double-positive (DPS) material layer surrounding a hypersonic vehicle antenna to match with the plasma sheath enclosing the vehicle. Analytical analysis and numerical results indicate a resonance between the matched layer and the plasma sheath will be formed to mitigate the blackout problem in some conditions. The calculated results present a perfect radiated performance of the antenna, when the match is exactly built between these two layers. The effects of the parameters of the plasma sheath have been researched by numerical methods. Based on these results, the proposed approach is easier to realize and more flexible to the varying radiated conditions in hypersonic flight comparing with other methods

  6. A constructive approach to gene expression dynamics

    International Nuclear Information System (INIS)

    Recently, experiments on mRNA abundance (gene expression) have revealed that gene expression shows a stationary organization described by a scale-free distribution. Here we propose a constructive approach to gene expression dynamics which restores the scale-free exponent and describes the intermediate state dynamics. This approach requires only one assumption: Markov property

  7. Sample matching by inferred agonal stress in gene expression analyses of the brain

    Directory of Open Access Journals (Sweden)

    Bunney William E

    2007-09-01

    Full Text Available Abstract Background Gene expression patterns in the brain are strongly influenced by the severity and duration of physiological stress at the time of death. This agonal effect, if not well controlled, can lead to spurious findings and diminished statistical power in case-control comparisons. While some recent studies match samples by tissue pH and clinically recorded agonal conditions, we found that these indicators were sometimes at odds with observed stress-related gene expression patterns, and that matching by these criteria still sometimes results in identifying case-control differences that are primarily driven by residual agonal effects. This problem is analogous to the one encountered in genetic association studies, where self-reported race and ethnicity are often imprecise proxies for an individual's actual genetic ancestry. Results We developed an Agonal Stress Rating (ASR system that evaluates each sample's degree of stress based on gene expression data, and used ASRs in post hoc sample matching or covariate analysis. While gene expression patterns are generally correlated across different brain regions, we found strong region-region differences in empirical ASRs in many subjects that likely reflect inter-individual variabilities in local structure or function, resulting in region-specific vulnerability to agonal stress. Conclusion Variation of agonal stress across different brain regions differs between individuals, revealing a new level of complexity for gene expression studies of brain tissues. The Agonal Stress Ratings quantitatively assess each sample's extent of regulatory response to agonal stress, and allow a strong control of this important confounder.

  8. GeneMatcher: a matching tool for connecting investigators with an interest in the same gene.

    Science.gov (United States)

    Sobreira, Nara; Schiettecatte, François; Valle, David; Hamosh, Ada

    2015-10-01

    Here, we describe an overview and update on GeneMatcher (http://www.genematcher.org), a freely accessible Web-based tool developed as part of the Baylor-Hopkins Center for Mendelian Genomics. We created GeneMatcher with the goal of identifying additional individuals with rare phenotypes who had variants in the same candidate disease gene. We also wanted to facilitate connections to basic scientists working on orthologous genes in model systems with the goal of connecting their work to human Mendelian phenotypes. Meeting these goals will enhance the identification of novel Mendelian genes. Launched in September, 2013, GeneMatcher now has 2,178 candidate genes from 486 submitters spread across 38 countries entered in the database (June 1, 2015). GeneMatcher is also part of the Matchmaker Exchange (http://matchmakerexchange.org/) with an Application Programing Interface enabling submitters to query other databases of genetic variants and phenotypes without having to create accounts and data entries in multiple systems. PMID:26220891

  9. Edge-to-edge matching - a new approach to the morphology and crystallography of precipitates

    International Nuclear Information System (INIS)

    An entirely new approach is taken to understanding the morphology and crystallography of partially coherent precipitates formed by diffusional processes 'edge-to-edge matching'. This approach is based on the simple, well founded result put forward by Shiflet and Van der Merwe [Metallurgical and Materials Transactions A. 25A (1994) 1895] - namely that minimisation of interfacial energy results when rows of atoms match across the interface. The geometric conditions necessary to achieve this atom row matching are shown to be possible for a variety of lattice parameters in the fcc/bcc system provided there is edge-to-edge matching of planes containing these rows in each of the two phases. This new model does not rely on physical assumptions of dubious validity, such as the existence of a long-range correspondence. It also differs from the existing models in that it does not need to include the particular orientation relationship as part of the input data. Instead it is capable of predicting the orientation relationship from first principles. The development of the concepts behind edge-to-edge matching are described for the fcc/bcc system, predictions of orientation relationships and habit planes are made for a variety of different precipitates and shown to be in extremely good agreement with reported experimental results

  10. Ranking Journals Following a Matching Model Approach. An Application to Public Economics Journals

    OpenAIRE

    Pujol, F.

    2006-01-01

    Journal rankings based on citation indexes are widely used in the economics field for global top journals. We propose an alternative way to rank journals based on the publishing behavior of top ranked authors. We justify this approach by depicting the scientific publishing market as following a matching process. Compared to the citation approach, the methodology that we propose has comparative advantages in terms of time effort to produce national and subdiscipline rankings, and it makes it p...

  11. Analytical Structure Matching and Very Precise Approach to the Coulombic Quantum Three-Body Problem

    Institute of Scientific and Technical Information of China (English)

    TAN Shi-Na

    2001-01-01

    A powerful approach to solve the Coulombic quantum three-body problem is proposed. The approach is exponentially convergent and more efficient than the hypcrsphcrical coordinate method and the correlation-function hyperspherical harmonic method. This approach is numerically competitive with the variational methods, such as that using the Hylleraas-type basis functions. Numerical comparisons are made to demonstrate the efficiency of this approach, by calculating the nonrelativistic and infinite-nuclear-mass limit of the ground state energy of the helium atom. The exponential convergency of this approach is due to the full matching between the analytical structure of the basis functions that are used in this paper and the true wavefunction. This full matching was not reached by most other methods. For example, the variational method using the Hylleraas-type basis does not reflects the logarithmic singularity of the true wavefunction at the origin as predicted by Bartlett and Fock. Two important approaches are proposed in this work to reach this full matching: the coordinate transformation method and the asymptotic series method. Besides these, this work makes use of the lcast square method to substitute complicated numerical integrations in solving the Schrodinger equation without much loss of accuracy, which is routinely used by people to fit a theoretical curve with discrete experimental data, but here is used to simplify thc computation.``

  12. Tailoring science outreach through E-matching using a community-based participatory approach.

    Directory of Open Access Journals (Sweden)

    Bernice B Rumala

    2011-03-01

    Full Text Available In an effort to increase science exposure for pre-college (K-12 students and as part of the science education reform agenda, many biomedical research institutions have established university-community partnerships. Typically, these science outreach programs consist of pre-structured, generic exposure for students, with little community engagement. However, the use of a medium that is accessible to both teachers and scientists, electronic web-based matchmaking (E-matching provides an opportunity for tailored outreach utilizing a community-based participatory approach (CBPA, which involves all stakeholders in the planning and implementation of the science outreach based on the interests of teachers/students and scientists. E-matching is a timely and urgent endeavor that provides a rapid connection for science engagement between teachers/students and experts in an effort to fill the science outreach gap. National Lab Network (formerly National Lab Day, an ongoing initiative to increase science equity and literacy, provides a model for engaging the public in science via an E-matching and hands-on learning approach. We argue that science outreach should be a dynamic endeavor that changes according to the needs of a target school. We will describe a case study of a tailored science outreach activity in which a public school that serves mostly under-represented minority students from disadvantaged backgrounds were E-matched with a university, and subsequently became equal partners in the development of the science outreach plan. In addition, we will show how global science outreach endeavors may utilize a CBPA, like E-matching, to support a pipeline to science among under-represented minority students and students from disadvantaged backgrounds. By merging the CBPA concept with a practical case example, we hope to inform science outreach practices via the lens of a tailored E-matching approach.

  13. Methylation profiling of 48 candidate genes in tumor and matched normal tissues from breast cancer patients.

    Science.gov (United States)

    Li, Zibo; Guo, Xinwu; Wu, Yepeng; Li, Shengyun; Yan, Jinhua; Peng, Limin; Xiao, Zhi; Wang, Shouman; Deng, Zhongping; Dai, Lizhong; Yi, Wenjun; Xia, Kun; Tang, Lili; Wang, Jun

    2015-02-01

    Gene-specific methylation alterations in breast cancer have been suggested to occur early in tumorigenesis and have the potential to be used for early detection and prevention. The continuous increase in worldwide breast cancer incidences emphasizes the urgent need for identification of methylation biomarkers for early cancer detection and patient stratification. Using microfluidic PCR-based target enrichment and next-generation bisulfite sequencing technology, we analyzed methylation status of 48 candidate genes in paired tumor and normal tissues from 180 Chinese breast cancer patients. Analysis of the sequencing results showed 37 genes differentially methylated between tumor and matched normal tissues. Breast cancer samples with different clinicopathologic characteristics demonstrated distinct profiles of gene methylation. The methylation levels were significantly different between breast cancer subtypes, with basal-like and luminal B tumors having the lowest and the highest methylation levels, respectively. Six genes (ACADL, ADAMTSL1, CAV1, NPY, PTGS2, and RUNX3) showed significant differential methylation among the 4 breast cancer subtypes and also between the ER +/ER- tumors. Using unsupervised hierarchical clustering analysis, we identified a panel of 13 hypermethylated genes as candidate biomarkers that performed a high level of efficiency for cancer prediction. These 13 genes included CST6, DBC1, EGFR, GREM1, GSTP1, IGFBP3, PDGFRB, PPM1E, SFRP1, SFRP2, SOX17, TNFRSF10D, and WRN. Our results provide evidence that well-defined DNA methylation profiles enable breast cancer prediction and patient stratification. The novel gene panel might be a valuable biomarker for early detection of breast cancer. PMID:25636590

  14. A Surrogate-based Adaptive Sampling Approach for History Matching and Uncertainty Quantification

    Energy Technology Data Exchange (ETDEWEB)

    Li, Weixuan; Zhang, Dongxiao; Lin, Guang

    2015-02-25

    A critical procedure in reservoir simulations is history matching (or data assimilation in a broader sense), which calibrates model parameters such that the simulation results are consistent with field measurements, and hence improves the credibility of the predictions given by the simulations. Often there exist non-unique combinations of parameter values that all yield the simulation results matching the measurements. For such ill-posed history matching problems, Bayesian theorem provides a theoretical foundation to represent different solutions and to quantify the uncertainty with the posterior PDF. Lacking an analytical solution in most situations, the posterior PDF may be characterized with a sample of realizations, each representing a possible scenario. A novel sampling algorithm is presented here for the Bayesian solutions to history matching problems. We aim to deal with two commonly encountered issues: 1) as a result of the nonlinear input-output relationship in a reservoir model, the posterior distribution could be in a complex form, such as multimodal, which violates the Gaussian assumption required by most of the commonly used data assimilation approaches; 2) a typical sampling method requires intensive model evaluations and hence may cause unaffordable computational cost. In the developed algorithm, we use a Gaussian mixture model as the proposal distribution in the sampling process, which is simple but also flexible to approximate non-Gaussian distributions and is particularly efficient when the posterior is multimodal. Also, a Gaussian process is utilized as a surrogate model to speed up the sampling process. Furthermore, an iterative scheme of adaptive surrogate refinement and re-sampling ensures sampling accuracy while keeping the computational cost at a minimum level. The developed approach is demonstrated with an illustrative example and shows its capability in handling the above-mentioned issues. Multimodal posterior of the history matching

  15. A Bayesian approach to matched field processing in uncertain ocean environments

    Institute of Scientific and Technical Information of China (English)

    LI Jianlong; PAN Xiang

    2008-01-01

    An approach of Bayesian Matched Field Processing(MFP)was discussed in the uncertain ocean environment.In this approach,uncertainty knowledge is modeled and spatial and temporal data Received by the array are fully used.Therefore,a mechanism for MFP is found.which well combines model-based and data-driven methods of uncertain field processing.By theoretical derivation,simulation analysis and the validation of the experimental array data at sea,we find that(1)the basic components of Bayesian matched field processors are the corresponding sets of Bartlett matched field processor,MVDR(minimum variance distortionless response)matched field processor,etc.;(2)Bayesian MVDR/Bartlett MFP are the weighted sum of the MVDR/Bartlett MFP,where the weighted coefficients are the values of the a posteriori probability;(3)with the uncertain ocean environment,Bayesian MFP can more correctly locate the source than MVDR MFP or Bartlett MFP;(4)Bayesian MFP call better suppress sidelobes of the ambiguity surfaces.

  16. Maximal sequence length of exact match between members from a gene family during early evolution

    Institute of Scientific and Technical Information of China (English)

    WEN Xiao; GUO Xing-yi; FAN Long-jiang

    2005-01-01

    Mutation (substitution, deletion, insertion, etc.) in nucleotide acid causes the maximal sequence lengths of exact match (MALE) between paralogous members from a duplicate event to become shorter during evolution. In this work, MALE changes between members of 26 gene families from four representative species (Arabidopsis thaliana, Oryza sativa, Mus musculus and Homo sapiens) were investigated. Comparative study ofparalogous' MALE and amino acid substitution rate (dA<0.5)indicated that a close relationship existed between them. The results suggested that MALE could be a sound evolutionary scale for the divergent time for paralogous genes during their early evolution. A reference table between MALE and divergent time for the four species was set up, which would be useful widely, for large-scale genome alignment and comparison. As an example, detection of large-scale duplication events of rice genome based on the table was illustrated.

  17. Statistical Approach to Gene Evolution

    OpenAIRE

    Chattopadhyay, Sujay; William A. Kanner; Chakrabarti, Jayprokas

    2001-01-01

    The evolution in coding DNA sequences brings new flexibility and freedom to the codon words, even as the underlying nucleotides get significantly ordered. These curious contra-rules of gene organisation are observed from the distribution of words and the second moments of the nucleotide letters. These statistical data give us the physics behind the classification of bacteria.

  18. Growth and financial reforms trajectory: an optimal matching sequence analysis approach

    OpenAIRE

    Bicaba, Zorobabel

    2011-01-01

    This paper makes two important , even if preliminary, methodological contributions to the financial reforms literature. The first contribution is that it introduces a new framework for the metric of sequence analysis, namely, Optimal Matching Sequence Analysis. The second is that it provides an innovative framework namely synthetic counterfactual approach for the assessment of the impact of financial reforms sequence. It shows that the trajectory of financial reforms followed by countries, af...

  19. The pattern-matching approach and its application in tourism development

    OpenAIRE

    Andriotis, Konstantinos; Vaughan, Roger David

    2009-01-01

    Tourism development cannot be fully understood and validated from a positivist perspective without the testing of theory against empirical evidence. Thus the pattern-matching approach studies phenomena on the basis of facts and observations relevant to the testing of theories and models. This paper compares two selected tourism development theories, diffusion and dependency, against empirical evidence from Crete. In doing this it has three main objectives: to set out the nature of the pattern...

  20. Local approach to strength mis-match effect on cleavage fracture of notched material

    International Nuclear Information System (INIS)

    This paper discusses the strength mis-match effect on cleavage fracture of notched materials based on the local approach. The aim of the study is to verify the independence of the critical Weibull stress at fracture on the strength mis-match condition. Diffusion bonded joints were made with two materials S and H different in strength level. Two types of 3-point bend specimen were extracted. One had a notch in the lower strength material S near the bonded interface, and another in the higher strength material H. Homogeneous specimens were also made for each material. The critical CTOD value at cleavage fracture for the overmatched specimen with a notch in the material S was smaller than that of the homogeneous specimen of the material S. By contrast, the undermatched specimen with a notch in the material H showed apparently larger critical CTOD value than the homogeneous specimen of the material H. The strength mis-match effect on the CTOD results was explained in terms of the constraint effect on the near-tip stress field. Namely, the near-tip stress is elevated by strength overmatching and relaxed by strength undermatching. The Weibull stresses for the homogeneous and mis-matched specimens were evaluated in the light of the near-tip stress fields. The critical Weibull stress at fracture did not depend on the strength mis-match condition near the notch. By using the critical Weibull stress obtained for the homogeneous specimen, the strength mis-match effect on the CTOD results can be predicted. Close agreement was observed between the critical CTOD value predicted and that obtained by the experiment. (orig.)

  1. A Mode-matching Approach for the Analysis and Design of Substrate-integrated Waveguide Components

    Science.gov (United States)

    Bornemann, Jens; Taringou, Farzaneh; Kordiboroujeni, Zamzam

    2011-09-01

    A mode-matching approach is presented that allows a fast and accurate analysis of substrate-integrated wave-guide components with rectangular/square via holes. Models for several discontinuities are discussed which include microstrip as well as all-dielectric wave-guide feeds. The numerical technique is verified by comparison with commercially available field solvers. An example of a four-pole dual-mode filter in substrate-integrated wave-guide technology illustrates the capabilities of the approach.

  2. HANDBOOK OF SOCCER MATCH ANALYSIS: A SYSTEMATIC APPROACH TO IMPROVING PERFORMANCE

    Directory of Open Access Journals (Sweden)

    Christopher Carling

    2006-03-01

    Analysis Tells Us about Successful Strategy and Tactics in Soccer, 8. From Technical and Tactical Performance Analysis to Training Drills, 9. The Future of Soccer Match Analysis. ASSESSMENT The authors have assembled an essential reading for all who are interested in understanding and doing better coaching and improving the performance in soccer. To this purpose, there is a strong practical approach in the book by giving plenty of examples along with a satisfactory scientific analysis of the subject area. It is concise and well organized in its presentation, creating an effective textbook. I believe, therefore, the book will serve as a first-rate teaching tool and reference for coaches, athletes and professionals in the human performance sciences.

  3. Differences in Human Cortical Gene Expression Match the Temporal Properties of Large-Scale Functional Networks

    Science.gov (United States)

    Cioli, Claudia; Abdi, Hervé; Beaton, Derek; Burnod, Yves; Mesmoudi, Salma

    2014-01-01

    We explore the relationships between the cortex functional organization and genetic expression (as provided by the Allen Human Brain Atlas). Previous work suggests that functional cortical networks (resting state and task based) are organized as two large networks (differentiated by their preferred information processing mode) shaped like two rings. The first ring–Visual-Sensorimotor-Auditory (VSA)–comprises visual, auditory, somatosensory, and motor cortices that process real time world interactions. The second ring–Parieto-Temporo-Frontal (PTF)–comprises parietal, temporal, and frontal regions with networks dedicated to cognitive functions, emotions, biological needs, and internally driven rhythms. We found–with correspondence analysis–that the patterns of expression of the 938 genes most differentially expressed across the cortex organized the cortex into two sets of regions that match the two rings. We confirmed this result using discriminant correspondence analysis by showing that the genetic profiles of cortical regions can reliably predict to what ring these regions belong. We found that several of the proteins–coded by genes that most differentiate the rings–were involved in neuronal information processing such as ionic channels and neurotransmitter release. The systematic study of families of genes revealed specific proteins within families preferentially expressed in each ring. The results showed strong congruence between the preferential expression of subsets of genes, temporal properties of the proteins they code, and the preferred processing modes of the rings. Ionic channels and release-related proteins more expressed in the VSA ring favor temporal precision of fast evoked neural transmission (Sodium channels SCNA1, SCNB1 potassium channel KCNA1, calcium channel CACNA2D2, Synaptotagmin SYT2, Complexin CPLX1, Synaptobrevin VAMP1). Conversely, genes expressed in the PTF ring favor slower, sustained, or rhythmic activation (Sodium

  4. TwigINLAB: A Decomposition-Matching-Merging Approach To Improving XML Query Processing

    Directory of Open Access Journals (Sweden)

    Su-Cheng Haw

    2008-01-01

    Full Text Available The emergence of the Web has increased significant interests in querying XML data. Current methods for XML query processing still suffers from producing large intermediate results and are not efficient in supporting query with mixed types of relationships. We propose the TwigINLAB algorithm to process and optimize the query evaluation. Our TwigINLAB adopts the decomposition-matching-merging approach and focuses on optimizing all three sub-processes; introducing a novel compact labeling scheme, optimizing the matching phase and reducing the number of inspection required in the merging phase. Experimental results indicate that TwigINLAB can process both path queries and twig queries better than the TwigStack algorithm on an average of 21.7% and 18.7% respectively in terms of execution time using the SwissProt dataset.

  5. Bioagent Sample Matching using Elemental Composition Data: an Approach to Validation

    Energy Technology Data Exchange (ETDEWEB)

    Velsko, S P

    2006-04-21

    Sample matching is a fundamental capability that can have high probative value in a forensic context if proper validation studies are performed. In this report we discuss the potential utility of using the elemental composition of two bioagent samples to decide if they were produced in the same batch, or by the same process. Using guidance from the recent NRC study of bullet lead analysis and other sources, we develop a basic likelihood ratio framework for evaluating the evidentiary weight of elemental analysis data for sample matching. We define an objective metric for comparing two samples, and propose a method for constructing an unbiased population of test samples. We illustrate the basic methodology with some existing data on dry Bacillus thuringiensis preparations, and outline a comprehensive plan for experimental validation of this approach.

  6. Face recognition using elastic grid matching through photoshop: A new approach

    Directory of Open Access Journals (Sweden)

    Manavpreet Kaur

    2015-12-01

    Full Text Available Computing grids propose to be a very efficacious, economic and ascendable way of image identification. In this paper, we propose a grid based face recognition overture employing a general template matching method to solve the timeconsuming face recognition problem. A new approach has been employed in which the grid was prepared for a specific individual over his photograph using Adobe Photoshop CS5 software. The background was later removed and the grid prepared by merging layers was used as a template for image matching or comparison. This overture is computationally efficient, has high recognition rates and is able to identify a person with minimal efforts and in short time even from photographs taken at different magnifications and from different distances.

  7. Refining gene signatures: a Bayesian approach

    Directory of Open Access Journals (Sweden)

    Labbe Aurélie

    2009-12-01

    Full Text Available Abstract Background In high density arrays, the identification of relevant genes for disease classification is complicated by not only the curse of dimensionality but also the highly correlated nature of the array data. In this paper, we are interested in the question of how many and which genes should be selected for a disease class prediction. Our work consists of a Bayesian supervised statistical learning approach to refine gene signatures with a regularization which penalizes for the correlation between the variables selected. Results Our simulation results show that we can most often recover the correct subset of genes that predict the class as compared to other methods, even when accuracy and subset size remain the same. On real microarray datasets, we show that our approach can refine gene signatures to obtain either the same or better predictive performance than other existing methods with a smaller number of genes. Conclusions Our novel Bayesian approach includes a prior which penalizes highly correlated features in model selection and is able to extract key genes in the highly correlated context of microarray data. The methodology in the paper is described in the context of microarray data, but can be applied to any array data (such as micro RNA, for example as a first step towards predictive modeling of cancer pathways. A user-friendly software implementation of the method is available.

  8. Based on Regular Expression Matching of Evaluation of the Task Performance in WSN: A Queue Theory Approach

    OpenAIRE

    2014-01-01

    Due to the limited resources of wireless sensor network, low efficiency of real-time communication scheduling, poor safety defects, and so forth, a queuing performance evaluation approach based on regular expression match is proposed, which is a method that consists of matching preprocessing phase, validation phase, and queuing model of performance evaluation phase. Firstly, the subset of related sequence is generated in preprocessing phase, guiding the validation phase distributed matching...

  9. a Local Adaptive Approach for Dense Stereo Matching in Architectural Scene Reconstruction

    Science.gov (United States)

    Stentoumis, C.; Grammatikopoulos, L.; Kalisperakis, I.; Petsa, E.; Karras, G.

    2013-02-01

    In recent years, a demand for 3D models of various scales and precisions has been growing for a wide range of applications; among them, cultural heritage recording is a particularly important and challenging field. We outline an automatic 3D reconstruction pipeline, mainly focusing on dense stereo-matching which relies on a hierarchical, local optimization scheme. Our matching framework consists of a combination of robust cost measures, extracted via an intuitive cost aggregation support area and set within a coarse-tofine strategy. The cost function is formulated by combining three individual costs: a cost computed on an extended census transformation of the images; the absolute difference cost, taking into account information from colour channels; and a cost based on the principal image derivatives. An efficient adaptive method of aggregating matching cost for each pixel is then applied, relying on linearly expanded cross skeleton support regions. Aggregated cost is smoothed via a 3D Gaussian function. Finally, a simple "winnertakes- all" approach extracts the disparity value with minimum cost. This keeps algorithmic complexity and system computational requirements acceptably low for high resolution images (or real-time applications), when compared to complex matching functions of global formulations. The stereo algorithm adopts a hierarchical scheme to accommodate high-resolution images and complex scenes. In a last step, a robust post-processing work-flow is applied to enhance the disparity map and, consequently, the geometric quality of the reconstructed scene. Successful results from our implementation, which combines pre-existing algorithms and novel considerations, are presented and evaluated on the Middlebury platform.

  10. The benefits of a laparoscopic approach in ileal pouch anal anastomosis formation: a single institutional retrospective case-matched experience.

    LENUS (Irish Health Repository)

    Kelly, J

    2010-06-01

    A laparoscopic approach to ileoanal pouch formation is novel. By using prospectively gathered data, laparoscopic and open restorative proctocolectomy procedures in mucosal ulcerative colitis (UC) and familial adenomatous polyposis (FAP) patients were compared using a case-matched design.

  11. Demons deformable registration of CT and cone-beam CT using an iterative intensity matching approach

    International Nuclear Information System (INIS)

    Purpose: A method of intensity-based deformable registration of CT and cone-beam CT (CBCT) images is described, in which intensity correction occurs simultaneously within the iterative registration process. The method preserves the speed and simplicity of the popular Demons algorithm while providing robustness and accuracy in the presence of large mismatch between CT and CBCT voxel values (''intensity''). Methods: A variant of the Demons algorithm was developed in which an estimate of the relationship between CT and CBCT intensity values for specific materials in the image is computed at each iteration based on the set of currently overlapping voxels. This tissue-specific intensity correction is then used to estimate the registration output for that iteration and the process is repeated. The robustness of the method was tested in CBCT images of a cadaveric head exhibiting a broad range of simulated intensity variations associated with x-ray scatter, object truncation, and/or errors in the reconstruction algorithm. The accuracy of CT-CBCT registration was also measured in six real cases, exhibiting deformations ranging from simple to complex during surgery or radiotherapy guided by a CBCT-capable C-arm or linear accelerator, respectively. Results: The iterative intensity matching approach was robust against all levels of intensity variation examined, including spatially varying errors in voxel value of a factor of 2 or more, as can be encountered in cases of high x-ray scatter. Registration accuracy without intensity matching degraded severely with increasing magnitude of intensity error and introduced image distortion. A single histogram match performed prior to registration alleviated some of these effects but was also prone to image distortion and was quantifiably less robust and accurate than the iterative approach. Within the six case registration accuracy study, iterative intensity matching Demons reduced mean TRE to (2.5±2.8) mm compared to (3.5±3.0) mm

  12. Gene expression profiles from formalin fixed paraffin embedded breast cancer tissue are largely comparable to fresh frozen matched tissue.

    Directory of Open Access Journals (Sweden)

    Lorenza Mittempergher

    Full Text Available BACKGROUND AND METHODS: Formalin Fixed Paraffin Embedded (FFPE samples represent a valuable resource for cancer research. However, the discovery and development of new cancer biomarkers often requires fresh frozen (FF samples. Recently, the Whole Genome (WG DASL (cDNA-mediated Annealing, Selection, extension and Ligation assay was specifically developed to profile FFPE tissue. However, a thorough comparison of data generated from FFPE RNA and Fresh Frozen (FF RNA using this platform is lacking. To this end we profiled, in duplicate, 20 FFPE tissues and 20 matched FF tissues and evaluated the concordance of the DASL results from FFPE and matched FF material. METHODOLOGY AND PRINCIPAL FINDINGS: We show that after proper normalization, all FFPE and FF pairs exhibit a high level of similarity (Pearson correlation >0.7, significantly larger than the similarity between non-paired samples. Interestingly, the probes showing the highest correlation had a higher percentage G/C content and were enriched for cell cycle genes. Predictions of gene expression signatures developed on frozen material (Intrinsic subtype, Genomic Grade Index, 70 gene signature showed a high level of concordance between FFPE and FF matched pairs. Interestingly, predictions based on a 60 gene DASL list (best match with the 70 gene signature showed very high concordance with the MammaPrint® results. CONCLUSIONS AND SIGNIFICANCE: We demonstrate that data generated from FFPE material with the DASL assay, if properly processed, are comparable to data extracted from the FF counterpart. Specifically, gene expression profiles for a known set of prognostic genes for a specific disease are highly comparable between two conditions. This opens up the possibility of using both FFPE and FF material in gene expressions analyses, leading to a vast increase in the potential resources available for cancer research.

  13. Gene expression in archived newborn blood spots distinguishes infants who will later develop cerebral palsy from matched controls

    OpenAIRE

    Ho, Nhan Thi; Furge, Kyle; Fu, Wenjiang; Busik, Julia; Khoo, Sok Kean; Lu, Qing; Lenski, Madeleine; Wirth, Julia; Hurvitz, Edward; Dodge, Nancy; Resau, James; PANETH, Nigel

    2012-01-01

    Background Gene expression in archived newborn blood spots remaining from newborn screening may reflect pathophysiological disturbances useful in understanding the etiology of cerebral palsy (CP). Methods We quantified the expression of gene sets representing four physiological pathways hypothesized to contribute to CP in archived unfrozen residual newborn blood spot specimens from 53 children with CP and 53 age, gender, and gestational-age–matched controls. We selected four empirical and thr...

  14. IMC-PID design based on model matching approach and closed-loop shaping.

    Science.gov (United States)

    Jin, Qi B; Liu, Q

    2014-03-01

    Motivated by the limitations of the conventional internal model control (IMC), this communication addresses the design of IMC-based PID in terms of the robust performance of the control system. The IMC controller form is obtained by solving an H-infinity problem based on the model matching approach, and the parameters are determined by closed-loop shaping. The shaping of the closed-loop transfer function is considered both for the set-point tracking and for the load disturbance rejection. The design procedure is formulated as a multi-objective optimization problem which is solved by a specific optimization algorithm. A nice feature of this design method is that it permits a clear tradeoff between robustness and performance. Simulation examples show that the proposed method is effective and has a wide applicability. PMID:24280534

  15. A Vocabulary Approach to Partial Streamline Matching and Exploratory Flow Visualization.

    Science.gov (United States)

    Tao, Jun; Wang, Chaoli; Shene, Ching-Kuang; Shaw, Raymond A

    2016-05-01

    Measuring the similarity of integral curves is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying, streamline clustering, and hierarchical exploration. In this paper, we introduce FlowString, a novel vocabulary approach that extracts shape invariant features from streamlines and utilizes a string-based method for exploratory streamline analysis and visualization. Our solution first resamples streamlines by considering their local feature scales. We then classify resampled points along streamlines based on the shape similarity around their local neighborhoods. We encode each streamline into a string of well-selected shape characters, from which we construct meaningful words for querying and retrieval. A unique feature of our approach is that it captures intrinsic streamline similarity that is invariant under translation, rotation and scaling. We design an intuitive interface and user interactions to support flexible querying, allowing exact and approximate searches for partial streamline matching. Users can perform queries at either the character level or the word level, and define their own characters or words conveniently for customized search. We demonstrate the effectiveness of FlowString with several flow field data sets of different sizes and characteristics. We also extend FlowString to handle multiple data sets and perform an empirical expert evaluation to confirm the usefulness of this approach. PMID:27045908

  16. A Combinatorial Approach to Detecting Gene-Gene and Gene-Environment Interactions in Family Studies

    OpenAIRE

    Lou, Xiang-Yang; Chen, Guo-Bo; Yan, Lei; Ma, Jennie Z.; Mangold, Jamie E.; Zhu, Jun; Elston, Robert C.; Li, Ming D.

    2008-01-01

    Widespread multifactor interactions present a significant challenge in determining risk factors of complex diseases. Several combinatorial approaches, such as the multifactor dimensionality reduction (MDR) method, have emerged as a promising tool for better detecting gene-gene (G × G) and gene-environment (G × E) interactions. We recently developed a general combinatorial approach, namely the generalized multifactor dimensionality reduction (GMDR) method, which can entertain both qualitative ...

  17. Generalized Coupled Dictionary Learning Approach With Applications to Cross-Modal Matching.

    Science.gov (United States)

    Mandal, Devraj; Biswas, Soma

    2016-08-01

    Coupled dictionary learning (CDL) has recently emerged as a powerful technique with wide variety of applications ranging from image synthesis to classification tasks. In this paper, we extend the existing CDL approaches in two aspects to make them more suitable for the task of cross-modal matching. Data coming from different modalities may or may not be paired. For example, for image-text retrieval problem, 100 images of a class are available as opposed to only 50 samples of text data for training. Current CDL approaches are not designed to handle such scenarios, where classes of data points in one modality correspond to classes of data points in the other modality. Given the data from the two modalities, first two dictionaries are learnt for the respective modalities, so that the data have a sparse representation with respect to their own dictionaries. Then, the sparse coefficients from the two modalities are transformed in such a manner that data from the same class are maximally correlated, while that from different classes have very less correlation. This way of modeling the coupling between the sparse representations of the two modalities makes this approach work seamlessly for paired as well as unpaired data. The discriminative coupling term also makes the approach better suited for classification tasks. Experiments on different publicly available cross-modal data sets, namely, CUHK photosketch face data set, HFB visible and near-infrared facial images data set, IXMAS multiview action recognition data set, wiki image and text data set and Multiple Features data set, show that this generalized CDL approach performs better than the state-of-the-art for both paired as well as unpaired data. PMID:27295672

  18. Gene therapy in glaucoma-3: Therapeutic approaches

    Directory of Open Access Journals (Sweden)

    Mohamed Abdel-Monem Soliman Mahdy

    2010-01-01

    Recently, several promising genetic therapeutic approaches had been investigated. Some are either used to stop apoptosis and halt further glaucomatous damage, wound healing modulating effect or long lasting intraocular pressure lowering effects than the conventional commercially available antiglaucoma medications. Method of Literature Search The literature was searched on the Medline database using the PubMed interface. The key words for search were glaucoma, gene therapy, and genetic diagnosis of glaucoma.

  19. Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching

    OpenAIRE

    Kangho Paek; Min Yao; Zhongwei Liu; Hun Kim

    2015-01-01

    Matching of keypoints across image patches forms the basis of computer vision applications, such as object detection, recognition, and tracking in real-world images. Most of keypoint methods are mainly used to match the high-resolution images, which always utilize an image pyramid for multiscale keypoint detection. In this paper, we propose a novel keypoint method to improve the matching performance of image patches with the low-resolution and small size. The location, scale, and orientation ...

  20. A Gene Selection Algorithm using Bayesian Classification Approach

    OpenAIRE

    Alok Sharma; Kuldip K. Paliwal

    2012-01-01

    In this study, we propose a new feature (or gene) selection algorithm using Bayes classification approach. The algorithm can find gene subset crucial for cancer classification problem. Problem statement: Gene identification plays important role in human cancer classification problem. Several feature selection algorithms have been proposed for analyzing and understanding influential genes using gene expression profiles. Approach: The feature selection algorithms aim to explore genes that are c...

  1. Based on Regular Expression Matching of Evaluation of the Task Performance in WSN: A Queue Theory Approach

    Directory of Open Access Journals (Sweden)

    Jie Wang

    2014-01-01

    Full Text Available Due to the limited resources of wireless sensor network, low efficiency of real-time communication scheduling, poor safety defects, and so forth, a queuing performance evaluation approach based on regular expression match is proposed, which is a method that consists of matching preprocessing phase, validation phase, and queuing model of performance evaluation phase. Firstly, the subset of related sequence is generated in preprocessing phase, guiding the validation phase distributed matching. Secondly, in the validation phase, the subset of features clustering, the compressed matching table is more convenient for distributed parallel matching. Finally, based on the queuing model, the sensor networks of task scheduling dynamic performance are evaluated. Experiments show that our approach ensures accurate matching and computational efficiency of more than 70%; it not only effectively detects data packets and access control, but also uses queuing method to determine the parameters of task scheduling in wireless sensor networks. The method for medium scale or large scale distributed wireless node has a good applicability.

  2. Tratamiento de imágenes, extracción de características y "matching" en plataformas Android

    OpenAIRE

    Ortega Olivas, Rocío

    2013-01-01

    En este proyecto se estudiará cómo de eficientes son los dispositivos móviles Android para el procesamiento de imágenes, así como una nueva técnica para llevar a cabo el matching entre imágenes (utilizando Teoría de Grafos). Se tratarán conceptos básicos de tratamiento de imágenes, repasando qué es un descriptor de imagen, cuáles son los más utilizados y cómo trabajar con ellos en proyectos de desarrollo, junto con otras funciones típicas del tratamiento de imágenes. Por otro lado, se estudia...

  3. A gene sets approach for identifying prognostic gene signatures for outcome prediction

    OpenAIRE

    Kim Yong Sung; Kim Seon-Young

    2008-01-01

    Abstract Background Gene expression profiling is a promising approach to better estimate patient prognosis; however, there are still unresolved problems, including little overlap among similarly developed gene sets and poor performance of a developed gene set in other datasets. Results We applied a gene sets approach to develop a prognostic gene set from multiple gene expression datasets. By analyzing 12 independent breast cancer gene expression datasets comprising 1,756 tissues with 2,411 pr...

  4. A Multi-Objective Evolutionary Approach to Face Matching Across Plastic Surgery

    Directory of Open Access Journals (Sweden)

    Tijo Joel Verghis

    2014-02-01

    Full Text Available : In imaging science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. The uses of techniques for evading identification procedures are becoming popular because of huge acceptability and faster development of modern techniques. One such technique is altering facial appearance using surgical procedures that has raised a challenge for face recognition algorithms. The number of peoples doing plastic surgery is increasing day by day that is not only for improving the facial appearance but also for criminal activities. However, the non -linear variations introduced by plastic surgery remain difficult to be modeled by existing face recognition systems. Thus as an effect of this, peoples can do crime activities and can easily escape from the law. To overcome this, a multi-objective evolutionary granular algorithm is proposed to match face images before and after plastic surgery. The algorithm first generates non-disjoint face granules at multiple levels of granularity. The granular information is assimilated using a multi-objective genetic approach that simultaneously optimizes the selection of feature extractor for each face granule along with the weights of individual granules. On the plastic surgery face database, the proposed algorithm yields high identification accuracy as compared to existing algorithms and a commercial fac e recognition system

  5. A game-theoretic tree matching approach for object detection in high-resolution remotely sensed images

    Science.gov (United States)

    Liang, Yilong; Cahill, Nathan D.; Saber, Eli; Messinger, David W.

    2015-10-01

    In this paper, we propose a game-theoretic tree matching algorithm for object detection in high resolution (HR) remotely sensed images, where, given a scene image and an object image, the goal is to determine whether or not the object exists in the scene image. To that effect, tree based representations of the images are obtained using a hierarchical scale space approach. The nodes of the tree denote regions in the image and edges represent the relative containment between different regions. Once we have the tree representations of each image, the task of object detection is reformulated as a tree matching problem. We propose a game-theoretic technique to search for the node correspondences between a pair of trees. This method involves defining a non-cooperative matching game, where strategies denote the possible pairs of matching regions and payoffs determine the compatibilities between these strategies. Trees are matched by finding the evolutionary stable states (ESS) of the game. To validate the effectiveness of the proposed algorithm, we perform experiments on both synthetic and HR remotely sensed images. Our results demonstrate the robustness of the tree representation with respect to different spatial variations of the images, as well as the effectiveness of the proposed game-theoretic tree matching algorithm.

  6. Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching

    Science.gov (United States)

    Paek, Kangho; Liu, Zhongwei; Kim, Hun

    2015-01-01

    Matching of keypoints across image patches forms the basis of computer vision applications, such as object detection, recognition, and tracking in real-world images. Most of keypoint methods are mainly used to match the high-resolution images, which always utilize an image pyramid for multiscale keypoint detection. In this paper, we propose a novel keypoint method to improve the matching performance of image patches with the low-resolution and small size. The location, scale, and orientation of keypoints are directly estimated from an original image patch using a Log-Spiral sampling pattern for keypoint detection without consideration of image pyramid. A Log-Spiral sampling pattern for keypoint description and two bit-generated functions are designed for generating a binary descriptor. Extensive experiments show that the proposed method is more effective and robust than existing binary-based methods for image patch matching. PMID:26074952

  7. Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching

    Directory of Open Access Journals (Sweden)

    Kangho Paek

    2015-01-01

    Full Text Available Matching of keypoints across image patches forms the basis of computer vision applications, such as object detection, recognition, and tracking in real-world images. Most of keypoint methods are mainly used to match the high-resolution images, which always utilize an image pyramid for multiscale keypoint detection. In this paper, we propose a novel keypoint method to improve the matching performance of image patches with the low-resolution and small size. The location, scale, and orientation of keypoints are directly estimated from an original image patch using a Log-Spiral sampling pattern for keypoint detection without consideration of image pyramid. A Log-Spiral sampling pattern for keypoint description and two bit-generated functions are designed for generating a binary descriptor. Extensive experiments show that the proposed method is more effective and robust than existing binary-based methods for image patch matching.

  8. Matched pairs approach to set theoretic solutions of the Yang-Baxter equation

    International Nuclear Information System (INIS)

    We study set-theoretic solutions (X,r) of the Yang-Baxter equations on a set X in terms of the induced left and right actions of X on itself. We give a characterization of involutive square-free solutions in terms of cyclicity conditions. We characterise general solutions in terms of an induced matched pair of unital semigroups S(X,r) and construct (S,rS) from the matched pair. Finally, we study extensions of solutions in terms of matched pairs of their associated semigroups. We also prove several general results about matched pairs of unital semigroups of the required type, including iterated products S bowtie S bowtie S underlying the proof that rS is a solution, and extensions (S bowtie T, rSbowtieT). Examples include a general 'double' construction (S bowtie S,rSbowtieS) and some concrete extensions, their actions and graphs based on small sets. (author)

  9. REVERSE DESIGN APPROACH FOR MECHANISM TRAJECTORY BASED ON CODE-CHAINS MATCHING

    Institute of Scientific and Technical Information of China (English)

    ZHANG Shuyou; YI Guodong; XU Xiaofeng

    2007-01-01

    Aiming at the problem of reverse-design of mechanism, a method based on the matching of trajectory code-chains is presented. The motion trajectory of mechanism is described with code-chain,which is normalized to simplify the operation of geometric transformation. The geometric transformation formulas of scale, mirror and rotation for trajectory code-chain are defined, and the reverse design for mechanism trajectory is realized through the analysis and solution of similarity matching between the desired trajectory and the predefined trajectory. The algorithm program and prototype system of reverse design for mechanism trajectory are developed. Application samples show that the method can break the restriction of trajectory patterns in matching, meet the demand of partial matching, and overcome the influence of geometric transformation of trajectory on the reverse design for mechanism.

  10. Handbook of Soccer Match Analysis: A Systematic Approach to Improving Performance

    OpenAIRE

    Christopher Carling; Mark Williams, A; Thomas Reilly

    2006-01-01

    DESCRIPTION This book addresses and appropriately explains the soccer match analysis, looks at the very latest in match analysis research, and at the innovative technologies used by professional clubs. This handbook is also bridging the gap between research, theory and practice. The methods in it can be used by coaches, sport scientists and fitness coaches to improve: styles of play, technical ability and physical fitness; objective feedback to players; the development of specific training ro...

  11. Translational Approaches towards Cancer Gene Therapy: Hurdles and Hopes

    OpenAIRE

    Yadollah Omidi; Jaleh Barar

    2012-01-01

    Introduction: Of the cancer gene therapy approaches, gene silencing, suicide/apoptosis inducing gene therapy, immunogene therapy and targeted gene therapy are deemed to sub­stantially control the biological consequences of genomic changes in cancerous cells. Thus, a large number of clinical trials have been conducted against various malignancies. In this review, we will discuss recent translational progresses of gene and cell therapy of cancer. Methods: Essential information on gene therapy o...

  12. Combining Generalized Phase Contrast with matched filtering into a versatile beam shaping approach

    DEFF Research Database (Denmark)

    Glückstad, Jesper; Palima, Darwin

    2010-01-01

    We adapt concepts from matched filtering to propose a method for generating reconfigurable multiple beams. Combined with the Generalized Phase Contrast (GPC) technique, the proposed method coined mGPC can yield dynamically reconfigurable optical beam arrays with high light efficiency for optical ...... manipulation, high-speed sorting and other parallel spatial light applications [1].......We adapt concepts from matched filtering to propose a method for generating reconfigurable multiple beams. Combined with the Generalized Phase Contrast (GPC) technique, the proposed method coined mGPC can yield dynamically reconfigurable optical beam arrays with high light efficiency for optical...

  13. Identifying the greatest team and captain - A complex network approach to cricket matches

    OpenAIRE

    Mukherjee, Satyam

    2012-01-01

    We consider all Test matches played between 1877 and 2010 and One Day International (ODI) matches played between 1971 and 2010. We form directed and weighted networks of teams and also of their captains. The success of a team (or captain) is determined by the 'quality' of wins and not on the number of wins alone. We apply the diffusion based PageRank algorithm on the networks to access the importance of wins and rank the teams and captains respectively. Our analysis identifies {\\it Australia}...

  14. Pigeons ("Columba Livia") Approach Nash Equilibrium in Experimental Matching Pennies Competitions

    Science.gov (United States)

    Sanabria, Federico; Thrailkill, Eric

    2009-01-01

    The game of Matching Pennies (MP), a simplified version of the more popular Rock, Papers, Scissors, schematically represents competitions between organisms with incentives to predict each other's behavior. Optimal performance in iterated MP competitions involves the production of random choice patterns and the detection of nonrandomness in the…

  15. Partial match queries in two-dimensional quadtrees: a probabilistic approach

    OpenAIRE

    Nicolas CURIEN; Joseph, Adrien

    2011-01-01

    We analyze the mean cost of the partial match queries in random two-dimensional quadtrees. The method is based on fragmentation theory. The convergence is guaranteed by a coupling argument of Markov chains, whereas the value of the limit is computed as the fixed point of an integral equation.

  16. Labor Tax Reform and Equilibrium Unemployment : A Search and Matching Approach

    NARCIS (Netherlands)

    Heijdra, B.J.; Ligthart, J.E.

    2004-01-01

    The paper studies simple strategies of labor tax reform in a search and matching model of the labor market featuring endogenous labor supply.Changing the composition of the tax wedge|that is, reducing a payroll tax and increasing a progressive wage tax such that the marginal tax wedge remains unaffe

  17. Labor tax reform and equilibrium unemployment : a search and matching approach

    NARCIS (Netherlands)

    Heijdra, Ben J.; Ligthart, Jenny E.

    2004-01-01

    The paper studies simple strategies of labor tax reform in a search and matching model of the labor market featuring endogenous labor supply. Changing the composition of the tax wedge---that is, reducing a payroll tax and increasing a progressive wage tax such that the marginal tax wedge remains una

  18. Gene transfer approaches in cancer immunotherapy.

    Science.gov (United States)

    Larin, S S; Georgiev, G P; Kiselev, S L

    2004-10-01

    The idea of enhancing or establishing effective immune response against endogenously developed tumor cells is not novel. More than a hundred years ago, bacterial components were used to develop antitumor immune response. Later, when a number of immune system-effecting cytokines had been discovered, they were used for systemic treatment of cancer patients. However, systemic treatment often resulted in even negative outcome. Recent developments of genetic approaches of cell modifications allowed developing of modern techniques of targeted tumor cell elimination. In the present paper, we review modern trends of the antitumor response enhancement based on immunoregulatory gene transfer into different cell types both in vivo and in vitro. Almost all these approaches are based on the activation of the adaptive arm of the immune system in response to tumor cells. However, recent studies indicate that the innate arm of the immune system, as well as adaptive arm, is involved in tumor suppression. The innate immune system uses nonrearranging germline receptors, which could trigger cellular effector responses that are conditional (or instructive) to the subsequent adaptive immune response. Last years' viewpoints on 'self' and 'non-self' recognition and primary induction of the immune response have changed. The key role of lymphocytes is pathogen recognition and, following immune response induction, switched on the central role of dendritic cells in 'non-self' recognition and induction of both innate and adaptive responses. Moreover, innate response is supposed to be an essential starting point in induction of successful and effective acquired response. Most cancer vaccines do not have 'non-self' marks presentation due to their endogenous origin, thus lacking their effectiveness in the induction of the specific long-lasting immune response. Taking this point into consideration, we can conclude that to make cancer vaccine more effective we have to present tumor antigens

  19. Electronic conductance via atomic wires: a phase field matching theory approach

    OpenAIRE

    Szczȩśniak, D.; Khater, A.

    2011-01-01

    A model is presented for the quantum transport of electrons, across finite atomic wire nanojunctions between electric leads, at zero bias limit. In order to derive the appropriate transmission and reflection spectra, familiar in the Landauer-B\\"{u}ttiker formalism, we develop the algebraic phase field matching theory (PFMT). In particular, we apply our model calculations to determine the electronic conductance for freely suspended monatomic linear sodium wires (MLNaW) between leads of the sam...

  20. A Search and Matching Approach to Labor Markets: Did the Natural Rate of Unemployment Rise?

    OpenAIRE

    Daly, Mary C.; Bart Hobijn; Aysegül Sahin; Robert G. Valletta

    2012-01-01

    The U.S. unemployment rate has remained stubbornly high since the 2007-2009 recession, leading some observers to conclude that structural rather than cyclical factors are to blame. Relying on a standard job search and matching framework and empirical evidence from a wide array of labor market indicators, we examine whether the natural rate of unemployment has increased since the recession began, and if so, whether the underlying causes are transitory or persistent. Our preferred estimate indi...

  1. Tailoring Science Outreach through E-Matching Using a Community-Based Participatory Approach

    OpenAIRE

    Rumala, Bernice B.; Jack Hidary; Linda Ewool; Christopher Emdin; Ted Scovell

    2011-01-01

    In an effort to increase science exposure for pre-college (K-12) students and as part of the science education reform agenda, many biomedical research institutions have established university-community partnerships. Typically, these science outreach programs consist of pre-structured, generic exposure for students, with little community engagement. However, the use of a medium that is accessible to both teachers and scientists, electronic web-based matchmaking (E-matching) provides an opportu...

  2. The Effects of Breastfeeding on Childhood BMI: A Propensity Score Matching Approach

    OpenAIRE

    L. A. Gibson; Hernandez, M; Kelly, M; Campbell, M.

    2015-01-01

    This paper investigates the effect of breastfeeding on childhood body mass index (BMI). We use data from the Millennium Cohort Study (MCS), a nationally representative UK cohort survey, containing detailed infant feeding information, which allow us to explore the effects of a range of breastfeeding variables on the mean BMI of children breastfed for different durations and for exclusive and partial breastfeeding. Using propensity score matching, we find statistically significant influences of...

  3. Matching Matters!

    CERN Document Server

    Freitas, Ayres; Plehn, Tilman

    2016-01-01

    Effective Lagrangians are a useful tool for a data-driven approach to physics beyond the Standard Model at the LHC. However, for the new physics scales accessible at the LHC, the effective operator expansion is only relatively slowly converging at best. For tree-level processes, it has been found that the agreement between the effective Lagrangian and a range of UV-complete models depends sensitively on the appropriate definition of the matching. We extend this analysis to the one-loop level, which is relevant for electroweak precision data and Higgs decay to photons. We show that near the scale of electroweak symmetry breaking the validity of the effective theory description can be systematically improved through an appropriate matching procedure. In particular, we find a significant increase in accuracy when including suitable terms suppressed by the Higgs vacuum expectation value in the matching.

  4. The Medical Care Costs of Mood Disorders: A Coarsened Exact Matching Approach

    OpenAIRE

    Schurer, Stefanie; Alspach, Michael; MacRae, Jayden; Martin, Greg L.

    2015-01-01

    This paper is the first to use the method of coarsened exact matching (CEM) to estimate the impact of mood disorders on medical care costs in order to address the endogeneity of mood disorders. Models are estimated using restricted-use, general practice patient records data from New Zealand for 2009-2012. The CEM model, which exploits a discretization of the data to identify for each patient with a mood disorder a perfect statistical twin, yields estimates of the impact of mood disorders on m...

  5. Evolutionary Approach for Relative Gene Expression Algorithms

    OpenAIRE

    Marcin Czajkowski; Marek Kretowski

    2014-01-01

    A Relative Expression Analysis (RXA) uses ordering relationships in a small collection of genes and is successfully applied to classiffication using microarray data. As checking all possible subsets of genes is computationally infeasible, the RXA algorithms require feature selection and multiple restrictive assumptions. Our main contribution is a specialized evolutionary algorithm (EA) for top-scoring pairs called EvoTSP which allows finding more advanced gene relations. We managed to unify t...

  6. Contemporary Approaches for Identifying Rare Bone Disease Causing Genes

    OpenAIRE

    Farber, Charles R; Clemens, Thomas L.

    2013-01-01

    Recent improvements in the speed and accuracy of DNA sequencing, together with increasingly sophisticated mathematical approaches for annotating gene networks, have revolutionized the field of human genetics and made these once time consuming approaches assessable to most investigators. In the field of bone research, a particularly active area of gene discovery has occurred in patients with rare bone disorders such as osteogenesis imperfecta (OI) that are caused by mutations in single genes. ...

  7. Gene therapy approaches for spinal cord injury

    Science.gov (United States)

    Bright, Corinne

    As the biomedical engineering field expands, combination technologies are demonstrating enormous potential for treating human disease. In particular, intersections between the rapidly developing fields of gene therapy and tissue engineering hold promise to achieve tissue regeneration. Nonviral gene therapy uses plasmid DNA to deliver therapeutic proteins in vivo for extended periods of time. Tissue engineering employs biomedical materials, such as polymers, to support the regrowth of injured tissue. In this thesis, a combination strategy to deliver genes and drugs in a polymeric scaffold was applied to a spinal cord injury model. In order to develop a platform technology to treat spinal cord injury, several nonviral gene delivery systems and polymeric scaffolds were evaluated in vitro and in vivo. Nonviral vector trafficking was evaluated in primary neuronal culture to develop an understanding of the barriers to gene transfer in neurons and their supporting glia. Although the most efficient gene carrier in vitro differed from the optimal gene carrier in vivo, confocal and electron microscopy of these nonviral vectors provided insights into the interaction of these vectors with the nucleus. A novel pathway for delivering nanoparticles into the nuclei of neurons and Schwann cells via vesicle trafficking was observed in this study. Reporter gene expression levels were evaluated after direct and remote delivery to the spinal cord, and the optimal nonviral vector, dose, and delivery strategy were applied to deliver the gene encoding the basic fibroblast growth factor (bFGF) to the spinal cord. An injectable and biocompatible gel, composed of the amphiphillic polymer poly(ethylene glycol)-poly(epsilon-caprolactone)-poly(ethylene glycol) (PEG-PCL-PEG) was evaluated as a drug and gene delivery system in vitro, and combined with the optimized nonviral gene delivery system to treat spinal cord injury. Plasmid DNA encoding the bFGF gene and the therapeutic NEP1--40 peptide

  8. Meeting Your Match: How Attractiveness Similarity Affects Approach Behavior in Mixed-Sex Dyads

    NARCIS (Netherlands)

    Straaten, I. van; Engels, R.C.M.E.; Finkenauer, C.; Holland, R.W.

    2009-01-01

    This experimental study investigated approach behavior toward opposite-sex others of similar versus dissimilar physical attractiveness. Furthermore, it tested the moderating effects of sex. Single participants interacted with confederates of high and low attractiveness. Observers rated their behavio

  9. AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm

    Directory of Open Access Journals (Sweden)

    Jung Hyunchul

    2011-03-01

    Full Text Available Abstract Background Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a single platform and are not flexible enough to support custom changes, which arise from the new statistical methods, updated versions of reference data, and better platforms released every month or year. Current tools are so tightly coupled with reference information, such as reference genome, transcriptome database, and SNP, which are often erroneous or outdated, that the output results are incorrect and misleading. Results We developed AnyExpress, a software package that combines cross-platform gene expression data using a fast interval-matching algorithm. Supported platforms include next-generation-sequencing technology, microarray, SAGE, MPSS, and more. Users can define custom target transcriptome database references for probe/read mapping in any species, as well as criteria to remove undesirable probes/reads. AnyExpress offers scalable processing features such as binding, normalization, and summarization that are not present in existing software tools. As a case study, we applied AnyExpress to published Affymetrix microarray and Illumina NGS RNA-Seq data from human kidney and liver. The mean of within-platform correlation coefficient was 0.98 for within-platform samples in kidney and liver, respectively. The mean of cross-platform correlation coefficients was 0.73. These results confirmed those of the original and secondary studies. Applying filtering produced higher agreement between microarray and NGS, according to an agreement index calculated from differentially expressed genes. Conclusion AnyExpress can combine cross-platform gene expression data, process data from both open- and closed-platforms, select a custom target reference, filter out undesirable probes or reads based on custom-defined biological features, and perform quantile-normalization with

  10. GeneYenta: a phenotype-based rare disease case matching tool based on online dating algorithms for the acceleration of exome interpretation.

    Science.gov (United States)

    Gottlieb, Michael M; Arenillas, David J; Maithripala, Savanie; Maurer, Zachary D; Tarailo Graovac, Maja; Armstrong, Linlea; Patel, Millan; van Karnebeek, Clara; Wasserman, Wyeth W

    2015-04-01

    Advances in next-generation sequencing (NGS) technologies have helped reveal causal variants for genetic diseases. In order to establish causality, it is often necessary to compare genomes of unrelated individuals with similar disease phenotypes to identify common disrupted genes. When working with cases of rare genetic disorders, finding similar individuals can be extremely difficult. We introduce a web tool, GeneYenta, which facilitates the matchmaking process, allowing clinicians to coordinate detailed comparisons for phenotypically similar cases. Importantly, the system is focused on phenotype annotation, with explicit limitations on highly confidential data that create barriers to participation. The procedure for matching of patient phenotypes, inspired by online dating services, uses an ontology-based semantic case matching algorithm with attribute weighting. We evaluate the capacity of the system using a curated reference data set and 19 clinician entered cases comparing four matching algorithms. We find that the inclusion of clinician weights can augment phenotype matching. PMID:25703386

  11. A Template Matching Approach to Classification of QAM Modulation using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Negar ahmadi

    2009-11-01

    Full Text Available The automatic recognition of the modulation format of a detected signal, the intermediate step between signal detection and demodulation, is a major task of an intelligent receiver, with various civilian and military applications. Obviously, with no knowledge of the transmitted data and many unknown parameters at the receiver, such as the signal power, carrier frequency and phase offsets, timing information, etc., blind identification of the modulation is a difficult task. This becomes even more challenging in real-world. In this paper modulation classification for QAM is performed by Genetic Algorithm followed by Template matching, considering the constellation of the received signal. In addition this classification finds the decision boundary of the signal which is critical information for bit detection. I have proposed and implemented a technique that casts modulation recognition into shape recognition. Constellation diagram is a traditional and powerful tool for design and evaluation of digital modulations. The simulation results show the capability of this method for modulation classification with high accuracy and appropriate convergence in the presence of noise.

  12. A stochastic approach to multi-gene expression dynamics

    International Nuclear Information System (INIS)

    In the last years, tens of thousands gene expression profiles for cells of several organisms have been monitored. Gene expression is a complex transcriptional process where mRNA molecules are translated into proteins, which control most of the cell functions. In this process, the correlation among genes is crucial to determine the specific functions of genes. Here, we propose a novel multi-dimensional stochastic approach to deal with the gene correlation phenomena. Interestingly, our stochastic framework suggests that the study of the gene correlation requires only one theoretical assumption-Markov property-and the experimental transition probability, which characterizes the gene correlation system. Finally, a gene expression experiment is proposed for future applications of the model

  13. Analysis of bHLH coding genes using gene co-expression network approach.

    Science.gov (United States)

    Srivastava, Swati; Sanchita; Singh, Garima; Singh, Noopur; Srivastava, Gaurava; Sharma, Ashok

    2016-07-01

    Network analysis provides a powerful framework for the interpretation of data. It uses novel reference network-based metrices for module evolution. These could be used to identify module of highly connected genes showing variation in co-expression network. In this study, a co-expression network-based approach was used for analyzing the genes from microarray data. Our approach consists of a simple but robust rank-based network construction. The publicly available gene expression data of Solanum tuberosum under cold and heat stresses were considered to create and analyze a gene co-expression network. The analysis provide highly co-expressed module of bHLH coding genes based on correlation values. Our approach was to analyze the variation of genes expression, according to the time period of stress through co-expression network approach. As the result, the seed genes were identified showing multiple connections with other genes in the same cluster. Seed genes were found to be vary in different time periods of stress. These analyzed seed genes may be utilized further as marker genes for developing the stress tolerant plant species. PMID:27178572

  14. Meeting your match: how attractiveness similarity affects approach behavior in mixed-sex dyads.

    Science.gov (United States)

    van Straaten, Ischa; Engels, Rutger C M E; Finkenauer, Catrin; Holland, Rob W

    2009-06-01

    This experimental study investigated approach behavior toward opposite-sex others of similar versus dissimilar physical attractiveness. Furthermore, it tested the moderating effects of sex. Single participants interacted with confederates of high and low attractiveness. Observers rated their behavior in terms of relational investment (i.e., behavioral efforts related to the improvement of interaction fluency, communication of positive interpersonal affect, and positive self-presentation). As expected, men displayed more relational investment behavior if their own physical attractiveness was similar to that of the confederate. For women, no effects of attractiveness similarity on relational investment behavior were found. Results are discussed in the light of positive assortative mating, preferences for physically attractive mates, and sex differences in attraction-related interpersonal behaviors. PMID:19336540

  15. Multiobjective Optimization Methodology A Jumping Gene Approach

    CERN Document Server

    Tang, KS

    2012-01-01

    Complex design problems are often governed by a number of performance merits. These markers gauge how good the design is going to be, but can conflict with the performance requirements that must be met. The challenge is reconciling these two requirements. This book introduces a newly developed jumping gene algorithm, designed to address the multi-functional objectives problem and supplies a viably adequate solution in speed. The text presents various multi-objective optimization techniques and provides the technical know-how for obtaining trade-off solutions between solution spread and converg

  16. Sequence-matched probes produce increased cross-platform consistency and more reproducible biological results in microarray-based gene expression measurements.

    Science.gov (United States)

    Mecham, Brigham H; Klus, Gregory T; Strovel, Jeffrey; Augustus, Meena; Byrne, David; Bozso, Peter; Wetmore, Daniel Z; Mariani, Thomas J; Kohane, Isaac S; Szallasi, Zoltan

    2004-01-01

    Cancer derived microarray data sets are routinely produced by various platforms that are either commercially available or manufactured by academic groups. The fundamental difference in their probe selection strategies holds the promise that identical observations produced by more than one platform prove to be more robust when validated by biology. However, cross-platform comparison requires matching corresponding probe sets. We are introducing here sequence-based matching of probes instead of gene identifier-based matching. We analyzed breast cancer cell line derived RNA aliquots using Agilent cDNA and Affymetrix oligonucleotide microarray platforms to assess the advantage of this method. We show, that at different levels of the analysis, including gene expression ratios and difference calls, cross-platform consistency is significantly improved by sequence- based matching. We also present evidence that sequence-based probe matching produces more consistent results when comparing similar biological data sets obtained by different microarray platforms. This strategy allowed a more efficient transfer of classification of breast cancer samples between data sets produced by cDNA microarray and Affymetrix gene-chip platforms. PMID:15161944

  17. Producer-decomposer matching in a simple model ecosystem: A network coevolutionary approach to ecosystem organization

    International Nuclear Information System (INIS)

    The present not is concerned with how the ecosystem maintains its energy and matter processes, and how those processes change throughout ecological and geological time, or how the constituent biota of an ecosystem maintain their life, and how ecological (species) succession and biological evolution proceed within an ecosystem. To advance further Tansky's (1976) approach to ecosystem organization, which investigated the characteristic properties of the developmental process of a model ecosystem, by applying Margalef's (1968) maximum maturity principle to derive its long term change, we seek a course for deriving the macroscopic trends along the organization process of an ecosystem as a consequence of the interactions among its biotic components and their modification of ecological traits. Using a simple ecosystem model consisting of four aggregated components (open-quotes compartmentsclose quotes) connected by nutrient flows, we investigate how a change in the value of a parameter alters the network pattern of flows and stocks, even causing a change in the value of another parameter, which in turn brings about further change in the network pattern and values of some (possible original) parameters. The continuation of this chain reaction involving feedbacks constitutes a possible mechanism for the open-quotes coevolutionclose quotes or open-quotes matchingclose quotes among flows, stocks, and parameters

  18. A detection of the integrated Sachs-Wolfe imprint of cosmic superstructures using a matched-filter approach

    CERN Document Server

    Nadathur, Seshadri

    2016-01-01

    We present a new method for detection of the integrated Sachs-Wolfe (ISW) imprints of cosmic superstructures on the cosmic microwave background, based on a matched filtering approach. The expected signal-to-noise ratio for this method is comparable to that obtained from the full cross-correlation, and unlike other stacked filtering techniques it is not subject to an a posteriori bias. We apply this method to Planck CMB data using voids and superclusters identified in the CMASS galaxy data from the Sloan Digital Sky Survey Data Release 12, and measure the ISW amplitude to be $A_\\mathrm{ISW}=1.64\\pm0.53$ relative to the $\\Lambda$CDM expectation, corresponding to a $3.1\\sigma$ detection. In contrast to some previous measurements of the ISW effect of superstructures, our result is in agreement with the $\\Lambda$CDM model.

  19. Differential gene expression in liver and small intestine from lactating rats compared to age-matched virgin controls detects increased mRNA of cholesterol biosynthetic genes

    Directory of Open Access Journals (Sweden)

    Jungsuwadee Paiboon

    2011-02-01

    Full Text Available Abstract Background Lactation increases energy demands four- to five-fold, leading to a two- to three-fold increase in food consumption, requiring a proportional adjustment in the ability of the lactating dam to absorb nutrients and to synthesize critical biomolecules, such as cholesterol, to meet the dietary needs of both the offspring and the dam. The size and hydrophobicity of the bile acid pool increases during lactation, implying an increased absorption and disposition of lipids, sterols, nutrients, and xenobiotics. In order to investigate changes at the transcriptomics level, we utilized an exon array and calculated expression levels to investigate changes in gene expression in the liver, duodenum, jejunum, and ileum of lactating dams when compared against age-matched virgin controls. Results A two-way mixed models ANOVA was applied to detect differentially expressed genes. Significance calls were defined as a p Cyp7a1, which catalyzes the rate limiting step in the bile acid biosynthetic pathway, was also significantly increased in liver. In addition, decreased levels of mRNA associated with T-cell signaling were found in the jejunum and ileum. Several members of the Solute Carrier (SLC and Adenosine Triphosphate Binding Cassette (ABC superfamilies of membrane transporters were found to be differentially expressed; these genes may play a role in differences in nutrient and xenobiotic absorption and disposition. mRNA expression of SLC39a4_predicted, a zinc transporter, was increased in all tissues, suggesting that it is involved in increased zinc uptake during lactation. Microarray data are available through GEO under GSE19175. Conclusions We detected differential expression of mRNA from several pathways in lactating dams, including upregulation of the cholesterol biosynthetic pathway in liver and intestine, consistent with Srebp activation. Differential T-Cell signaling in the two most distal regions of the small intestine (ileum and

  20. New Approaches to Identify Gene-by-Gene Interactions in Genome Wide Association Studies

    OpenAIRE

    LU, CHEN

    2016-01-01

    Genetic variants identified to date by genome-wide association studies only explain a small fraction of total heritability. Gene-by-gene interaction is one important potential source of unexplained heritability. In the first part of this dissertation, a novel approach to detect such interactions is proposed. This approach utilizes penalized regression and sparse estimation principles, and incorporates outside biological knowledge through a network-based penalty. The method is tested on simula...

  1. Combinatorial Approaches to Accurate Identification of Orthologous Genes

    OpenAIRE

    Shi, Guanqun

    2011-01-01

    The accurate identification of orthologous genes across different species is a critical and challenging problem in comparative genomics and has a wide spectrum of biological applications including gene function inference, evolutionary studies and systems biology. During the past several years, many methods have been proposed for ortholog assignment based on sequence similarity, phylogenetic approaches, synteny information, and genome rearrangement. Although these methods share many commonly a...

  2. Translational Approaches towards Cancer Gene Therapy: Hurdles and Hopes

    Directory of Open Access Journals (Sweden)

    Yadollah Omidi

    2012-09-01

    Full Text Available Introduction: Of the cancer gene therapy approaches, gene silencing, suicide/apoptosis inducing gene therapy, immunogene therapy and targeted gene therapy are deemed to sub­stantially control the biological consequences of genomic changes in cancerous cells. Thus, a large number of clinical trials have been conducted against various malignancies. In this review, we will discuss recent translational progresses of gene and cell therapy of cancer. Methods: Essential information on gene therapy of cancer were reviewed and discussed towards their clinical translations. Results: Gene transfer has been rigorously studied in vitro and in vivo, in which some of these gene therapy endeavours have been carried on towards translational investigations and clinical applications. About 65% of gene therapy trials are related to cancer therapy. Some of these trials have been combined with cell therapy to produce personalized medicines such as Sipuleucel-T (Provenge®, marketed by Dendreon, USA for the treatment of asymptomatic/minimally symptomatic metastatic hormone-refractory prostate cancer. Conclusion: Translational approach links two diverse boundaries of basic and clinical researches. For successful translation of geno­medicines into clinical applications, it is essential 1 to have the guidelines and standard operating procedures for development and application of the genomedicines specific to clinically relevant biomarker(s; 2 to conduct necessary animal experimental studies to show the “proof of concept” for the proposed genomedicines; 3 to perform an initial clinical investigation; and 4 to initiate extensive clinical trials to address all necessary requirements. In short, translational researches need to be refined to accelerate the geno­medicine development and clinical applications.

  3. The Role of Serotype Interactions and Seasonality in Dengue Model Selection and Control: Insights from a Pattern Matching Approach.

    Science.gov (United States)

    Ten Bosch, Quirine A; Singh, Brajendra K; Hassan, Muhammad R A; Chadee, Dave D; Michael, Edwin

    2016-05-01

    The epidemiology of dengue fever is characterized by highly seasonal, multi-annual fluctuations, and the irregular circulation of its four serotypes. It is believed that this behaviour arises from the interplay between environmental drivers and serotype interactions. The exact mechanism, however, is uncertain. Constraining mathematical models to patterns characteristic to dengue epidemiology offers a means for detecting such mechanisms. Here, we used a pattern-oriented modelling (POM) strategy to fit and assess a range of dengue models, driven by combinations of temporary cross protective-immunity, cross-enhancement, and seasonal forcing, on their ability to capture the main characteristics of dengue dynamics. We show that all proposed models reproduce the observed dengue patterns across some part of the parameter space. Which model best supports the dengue dynamics is determined by the level of seasonal forcing. Further, when tertiary and quaternary infections are allowed, the inclusion of temporary cross-immunity alone is strongly supported, but the addition of cross-enhancement markedly reduces the parameter range at which dengue dynamics are produced, irrespective of the strength of seasonal forcing. The implication of these structural uncertainties on predicted vulnerability to control is also discussed. With ever expanding spread of dengue, greater understanding of dengue dynamics and control efforts (e.g. a near-future vaccine introduction) has become critically important. This study highlights the capacity of multi-level pattern-matching modelling approaches to offer an analytic tool for deeper insights into dengue epidemiology and control. PMID:27159023

  4. The Role of Serotype Interactions and Seasonality in Dengue Model Selection and Control: Insights from a Pattern Matching Approach

    Science.gov (United States)

    ten Bosch, Quirine A.; Hassan, Muhammad R. A.; Chadee, Dave D.; Michael, Edwin

    2016-01-01

    The epidemiology of dengue fever is characterized by highly seasonal, multi-annual fluctuations, and the irregular circulation of its four serotypes. It is believed that this behaviour arises from the interplay between environmental drivers and serotype interactions. The exact mechanism, however, is uncertain. Constraining mathematical models to patterns characteristic to dengue epidemiology offers a means for detecting such mechanisms. Here, we used a pattern-oriented modelling (POM) strategy to fit and assess a range of dengue models, driven by combinations of temporary cross protective-immunity, cross-enhancement, and seasonal forcing, on their ability to capture the main characteristics of dengue dynamics. We show that all proposed models reproduce the observed dengue patterns across some part of the parameter space. Which model best supports the dengue dynamics is determined by the level of seasonal forcing. Further, when tertiary and quaternary infections are allowed, the inclusion of temporary cross-immunity alone is strongly supported, but the addition of cross-enhancement markedly reduces the parameter range at which dengue dynamics are produced, irrespective of the strength of seasonal forcing. The implication of these structural uncertainties on predicted vulnerability to control is also discussed. With ever expanding spread of dengue, greater understanding of dengue dynamics and control efforts (e.g. a near-future vaccine introduction) has become critically important. This study highlights the capacity of multi-level pattern-matching modelling approaches to offer an analytic tool for deeper insights into dengue epidemiology and control. PMID:27159023

  5. The human gene damage index as a gene-level approach to prioritizing exome variants

    Science.gov (United States)

    Itan, Yuval; Shang, Lei; Boisson, Bertrand; Patin, Etienne; Bolze, Alexandre; Moncada-Vélez, Marcela; Scott, Eric; Ciancanelli, Michael J.; Lafaille, Fabien G.; Markle, Janet G.; Martinez-Barricarte, Ruben; de Jong, Sarah Jill; Kong, Xiao-Fei; Nitschke, Patrick; Belkadi, Aziz; Bustamante, Jacinta; Puel, Anne; Boisson-Dupuis, Stéphanie; Stenson, Peter D.; Gleeson, Joseph G.; Cooper, David N.; Quintana-Murci, Lluis; Claverie, Jean-Michel; Zhang, Shen-Ying; Abel, Laurent; Casanova, Jean-Laurent

    2015-01-01

    The protein-coding exome of a patient with a monogenic disease contains about 20,000 variants, only one or two of which are disease causing. We found that 58% of rare variants in the protein-coding exome of the general population are located in only 2% of the genes. Prompted by this observation, we aimed to develop a gene-level approach for predicting whether a given human protein-coding gene is likely to harbor disease-causing mutations. To this end, we derived the gene damage index (GDI): a genome-wide, gene-level metric of the mutational damage that has accumulated in the general population. We found that the GDI was correlated with selective evolutionary pressure, protein complexity, coding sequence length, and the number of paralogs. We compared GDI with the leading gene-level approaches, genic intolerance, and de novo excess, and demonstrated that GDI performed best for the detection of false positives (i.e., removing exome variants in genes irrelevant to disease), whereas genic intolerance and de novo excess performed better for the detection of true positives (i.e., assessing de novo mutations in genes likely to be disease causing). The GDI server, data, and software are freely available to noncommercial users from lab.rockefeller.edu/casanova/GDI. PMID:26483451

  6. A chain reaction approach to modelling gene pathways.

    Science.gov (United States)

    Cheng, Gary C; Chen, Dung-Tsa; Chen, James J; Soong, Seng-Jaw; Lamartiniere, Coral; Barnes, Stephen

    2012-08-01

    BACKGROUND: Of great interest in cancer prevention is how nutrient components affect gene pathways associated with the physiological events of puberty. Nutrient-gene interactions may cause changes in breast or prostate cells and, therefore, may result in cancer risk later in life. Analysis of gene pathways can lead to insights about nutrient-gene interactions and the development of more effective prevention approaches to reduce cancer risk. To date, researchers have relied heavily upon experimental assays (such as microarray analysis, etc.) to identify genes and their associated pathways that are affected by nutrient and diets. However, the vast number of genes and combinations of gene pathways, coupled with the expense of the experimental analyses, has delayed the progress of gene-pathway research. The development of an analytical approach based on available test data could greatly benefit the evaluation of gene pathways, and thus advance the study of nutrient-gene interactions in cancer prevention. In the present study, we have proposed a chain reaction model to simulate gene pathways, in which the gene expression changes through the pathway are represented by the species undergoing a set of chemical reactions. We have also developed a numerical tool to solve for the species changes due to the chain reactions over time. Through this approach we can examine the impact of nutrient-containing diets on the gene pathway; moreover, transformation of genes over time with a nutrient treatment can be observed numerically, which is very difficult to achieve experimentally. We apply this approach to microarray analysis data from an experiment which involved the effects of three polyphenols (nutrient treatments), epigallo-catechin-3-O-gallate (EGCG), genistein, and resveratrol, in a study of nutrient-gene interaction in the estrogen synthesis pathway during puberty. RESULTS: In this preliminary study, the estrogen synthesis pathway was simulated by a chain reaction model. By

  7. Gene Prioritization for Imaging Genetics Studies Using Gene Ontology and a Stratified False Discovery Rate Approach

    Science.gov (United States)

    Patel, Sejal; Park, Min Tae M.; Chakravarty, M. Mallar; Knight, Jo

    2016-01-01

    Imaging genetics is an emerging field in which the association between genes and neuroimaging-based quantitative phenotypes are used to explore the functional role of genes in neuroanatomy and neurophysiology in the context of healthy function and neuropsychiatric disorders. The main obstacle for researchers in the field is the high dimensionality of the data in both the imaging phenotypes and the genetic variants commonly typed. In this article, we develop a novel method that utilizes Gene Ontology, an online database, to select and prioritize certain genes, employing a stratified false discovery rate (sFDR) approach to investigate their associations with imaging phenotypes. sFDR has the potential to increase power in genome wide association studies (GWAS), and is quickly gaining traction as a method for multiple testing correction. Our novel approach addresses both the pressing need in genetic research to move beyond candidate gene studies, while not being overburdened with a loss of power due to multiple testing. As an example of our methodology, we perform a GWAS of hippocampal volume using both the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA2) and the Alzheimer's Disease Neuroimaging Initiative datasets. The analysis of ENIGMA2 data yielded a set of SNPs with sFDR values between 10 and 20%. Our approach demonstrates a potential method to prioritize genes based on biological systems impaired in a disease. PMID:27092072

  8. Safety evaluation of continuous green T intersections: A propensity scores-genetic matching-potential outcomes approach.

    Science.gov (United States)

    Wood, Jonathan; Donnell, Eric T

    2016-08-01

    The continuous green T intersection is characterized by a channelized left-turn movement from the minor street approach onto the major street, along with a continuous through movement on the major street. The continuous flow through movement is not controlled by the three-phase traffic signal that is used to separate all other movements at the intersection. Rather, the continuous through movement typically has a green through arrow indicator to inform drivers that they do not have to stop. Past research has consistently shown that there are operational and environmental benefits to implementing this intersection form at three-leg locations, when compared to a conventional signalized intersection. These benefits include reduced delay, fuel consumption, and emissions. The safety effects of the conventional green T intersection are less clear. Past research has been limited to small sample sizes, or utilized only statistical comparisons reported crashes to evaluate the safety performance relative to similar intersection types. The present study overcomes past safety research evaluations by using a propensity scores-potential outcomes framework, with genetic matching, to compare the safety performance of the continuous green T to conventional signalized intersections, using treatment and comparison site data from Florida and South Carolina. The results show that the expected total, fatal and injury, and target crash (rear-end, angle, and sideswipe) frequencies are lower at the continuous green T intersection relative to the conventional signalized intersection (CMFs of 0.958 [95% CI=0.772-1.189], 0.846 [95% CI=0.651-1.099], and 0.920 [95% CI=0.714-1.185], respectively). PMID:27129112

  9. Informational matching

    OpenAIRE

    Rend??n, Silvio

    2002-01-01

    This paper analyzes the problem of matching heterogeneous agents in a Bayesian learning model. One agent gives a noisy signal to another agent, who is responsible for learning. If production has a strong informational component, a phase of cross-matching occurs, so that agents of low knowledge catch up with those of higher one. It is shown that: (i) a greater informational component in production makes cross-matching more likely; (ii) as the new technology is mastered, pr...

  10. Genome classification by gene distribution: An overlapping subspace clustering approach

    Directory of Open Access Journals (Sweden)

    Halgamuge Saman K

    2008-04-01

    Full Text Available Abstract Background Genomes of lower organisms have been observed with a large amount of horizontal gene transfers, which cause difficulties in their evolutionary study. Bacteriophage genomes are a typical example. One recent approach that addresses this problem is the unsupervised clustering of genomes based on gene order and genome position, which helps to reveal species relationships that may not be apparent from traditional phylogenetic methods. Results We propose the use of an overlapping subspace clustering algorithm for such genome classification problems. The advantage of subspace clustering over traditional clustering is that it can associate clusters with gene arrangement patterns, preserving genomic information in the clusters produced. Additionally, overlapping capability is desirable for the discovery of multiple conserved patterns within a single genome, such as those acquired from different species via horizontal gene transfers. The proposed method involves a novel strategy to vectorize genomes based on their gene distribution. A number of existing subspace clustering and biclustering algorithms were evaluated to identify the best framework upon which to develop our algorithm; we extended a generic subspace clustering algorithm called HARP to incorporate overlapping capability. The proposed algorithm was assessed and applied on bacteriophage genomes. The phage grouping results are consistent overall with the Phage Proteomic Tree and showed common genomic characteristics among the TP901-like, Sfi21-like and sk1-like phage groups. Among 441 phage genomes, we identified four significantly conserved distribution patterns structured by the terminase, portal, integrase, holin and lysin genes. We also observed a subgroup of Sfi21-like phages comprising a distinctive divergent genome organization and identified nine new phage members to the Sfi21-like genus: Staphylococcus 71, phiPVL108, Listeria A118, 2389, Lactobacillus phi AT3, A2

  11. Gene therapeutic approaches to inhibit hepatitis B virusreplication

    Institute of Scientific and Technical Information of China (English)

    Maren Gebbing; Thorsten Bergmann; Eric Schulz; Anja Ehrhardt

    2015-01-01

    Acute and chronic hepatitis B virus (HBV) infectionsremain to present a major global health problem. Theinfection can be associated with acute symptomaticor asymptomatic hepatitis which can cause chronicinflammation of the liver and over years this can leadto cirrhosis and the development of hepatocellularcarcinomas. Currently available therapeutics forchronically infected individuals aim at reducing viralreplication and to slow down or stop the progressionof the disease. Therefore, novel treatment options areneeded to efficiently combat and eradicate this disease.Here we provide a state of the art overview of genetherapeutic approaches to inhibit HBV replication. Wediscuss non-viral and viral approaches which wereexplored to deliver therapeutic nucleic acids aiming atreducing HBV replication. Types of delivered therapeuticnucleic acids which were studied since many yearsinclude antisense oligodeoxynucleotides and antisenseRNA, ribozymes and DNAzymes, RNA interference,and external guide sequences. More recently designernucleases gained increased attention and wereexploited to destroy the HBV genome. In addition wemention other strategies to reduce HBV replicationbased on delivery of DNA encoding dominant negativemutants and DNA vaccination. In combination withavailable cell culture and animal models for HBVinfection, in vitro and in vivo studies can be performedto test efficacy of gene therapeutic approaches. Recentprogress but also challenges will be specified andfuture perspectives will be discussed. This is an excitingtime to explore such approaches because recentsuccesses of gene therapeutic strategies in the clinicto treat genetic diseases raise hope to find alternativetreatment options for patients chronically infected withHBV.

  12. A memetic fingerprint matching algorithm

    OpenAIRE

    Sheng, Weiguo; Howells, Gareth; Fairhurst, Michael; Deravi, Farzin

    2007-01-01

    Minutiae point pattern matching is the most common approach for fingerprint verification. Although many minutiae point pattern matching algorithms have been proposed, reliable automatic fingerprint verification remains as a challenging problem, both with respect to recovering the optimal alignment and the construction of an adequate matching function. In this paper, we develop a memetic fingerprint matching algorithm (MFMA) which aims to identify the optimal or near optimal global matching, b...

  13. A Novel Multi-Purpose Matching Representation of Local 3D Surfaces: A Rotationally Invariant, Efficient, and Highly Discriminative Approach With an Adjustable Sensitivity.

    Science.gov (United States)

    Al-Osaimi, Faisal R

    2016-02-01

    In this paper, a novel approach to local 3D surface matching representation suitable for a range of 3D vision applications is introduced. Local 3D surface patches around key points on the 3D surface are represented by 2D images such that the representing 2D images enjoy certain characteristics which positively impact the matching accuracy, robustness, and speed. First, the proposed representation is complete, in the sense, there is no information loss during their computation. Second, the 3DoF 2D representations are strictly invariant to all the 3DoF rotations. To optimally avail surface information, the sensitivity of the representations to surface information is adjustable. This also provides the proposed matching representation with the means to optimally adjust to a particular class of problems/applications or an acquisition technology. Each 2D matching representation is a sequence of adjustable integral kernels, where each kernel is efficiently computed from a triple of precise 3D curves (profiles) formed by intersecting three concentric spheres with the 3D surface. Robust techniques for sampling the profiles and establishing correspondences among them were devised. Based on the proposed matching representation, two techniques for the detection of key points were presented. The first is suitable for static images, while the second is suitable for 3D videos. The approach was tested on the face recognition grand challenge v2.0, the 3D twins expression challenge, and the Bosphorus data sets, and a superior face recognition performance was achieved. In addition, the proposed approach was used in object class recognition and tested on a Kinect data set. PMID:26513787

  14. Joint signal extraction from galaxy clusters in X-ray and SZ surveys: A matched-filter approach

    CERN Document Server

    Tarrío, Paula; Arnaud, Monique; Pratt, Gabriel W

    2016-01-01

    The hot ionized gas of the intra-cluster medium emits thermal radiation in the X-ray band and also distorts the cosmic microwave radiation through the Sunyaev-Zel'dovich (SZ) effect. Combining these two complementary sources of information through innovative techniques can therefore potentially improve the cluster detection rate when compared to using only one of the probes. Our aim is to build such a joint X-ray-SZ analysis tool, which will allow us to detect fainter or more distant clusters while maintaining high catalogue purity. We present a method based on matched multifrequency filters (MMF) for extracting cluster catalogues from SZ and X-ray surveys. We first designed an X-ray matched-filter method, analogous to the classical MMF developed for SZ observations. Then, we built our joint X-ray-SZ algorithm by combining our X-ray matched filter with the classical SZ-MMF, for which we used the physical relation between SZ and X-ray observations. We show that the proposed X-ray matched filter provides correc...

  15. Functionality Pattern Matching as an Efficient Complementary Structure/Reaction Search Tool: an Open-Source Approach

    Directory of Open Access Journals (Sweden)

    Norbert Haider

    2010-07-01

    Full Text Available An open-source software package for creating and operating web-based structure and/or reaction databases is presented. Besides standard search capabilities (text, structure/substructure/similarity, the system offers a fast additional search option, entirely based on binary pattern matching, which uses automatically assigned functional group descriptors.

  16. Joint signal extraction from galaxy clusters in X-ray and SZ surveys: A matched-filter approach

    Science.gov (United States)

    Tarrío, P.; Melin, J.-B.; Arnaud, M.; Pratt, G. W.

    2016-06-01

    The hot ionized gas of the intra-cluster medium emits thermal radiation in the X-ray band and also distorts the cosmic microwave radiation through the Sunyaev-Zel'dovich (SZ) effect. Combining these two complementary sources of information through innovative techniques can therefore potentially improve the cluster detection rate when compared to using only one of the probes. Our aim is to build such a joint X-ray-SZ analysis tool, which will allow us to detect fainter or more distant clusters while maintaining high catalogue purity. We present a method based on matched multifrequency filters (MMF) for extracting cluster catalogues from SZ and X-ray surveys. We first designed an X-ray matched-filter method, analogous to the classical MMF developed for SZ observations. Then, we built our joint X-ray-SZ algorithm by combining our X-ray matched filter with the classical SZ-MMF, for which we used the physical relation between SZ and X-ray observations. We show that the proposed X-ray matched filter provides correct photometry results, and that the joint matched filter also provides correct photometry when the FX/Y500 relation of the clusters is known. Moreover, the proposed joint algorithm provides a better signal-to-noise ratio than single-map extractions, which improves the detection rate even if we do not exactly know the FX/Y500 relation. The proposed methods were tested using data from the ROSAT all-sky survey and from the Planck survey.

  17. Novel metal resistance genes from microorganisms: a functional metagenomic approach.

    Science.gov (United States)

    González-Pastor, José E; Mirete, Salvador

    2010-01-01

    Most of the known metal resistance mechanisms are based on studies of cultured microorganisms, and the abundant uncultured fraction could be an important source of genes responsible for uncharacterized resistance mechanisms. A functional metagenomic approach was selected to recover metal resistance genes from the rhizosphere microbial community of an acid-mine drainage (AMD)-adapted plant, Erica andevalensis, from Rio Tinto, Spain. A total of 13 nickel resistant clones were isolated and analyzed, encoding hypothetical or conserved hypothetical proteins of uncertain functions, or well-characterized proteins, but not previously reported to be related to nickel resistance. The resistance clones were classified into two groups according to their nickel accumulation properties: those preventing or those favoring metal accumulation. Two clones encoding putative ABC transporter components and a serine O-acetyltransferase were found as representatives of each group, respectively. PMID:20830571

  18. A new navigation approach of terrain contour matching based on 3-D terrain reconstruction from onboard image sequence

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    This article presents a passive navigation method of terrain contour matching by reconstructing the 3-D terrain from the image sequence(acquired by the onboard camera).To achieve automation and simultaneity of the image sequence processing for navigation,a correspondence registration method based on control points tracking is proposed which tracks the sparse control points through the whole image sequence and uses them as correspondence in the relation geometry solution.Besides,a key frame selection method based on the images overlapping ratio and intersecting angles is explored,thereafter the requirement for the camera system configuration is provided.The proposed method also includes an optimal local homography estimating algorithm according to the control points,which helps correctly predict points to be matched and their speed corresponding.Consequently,the real-time 3-D terrain of the trajectory thus reconstructed is matched with the referenced terrain map,and the result of which provides navigating information.The digital simulation experiment and the real image based experiment have verified the proposed method.

  19. A phylogenetic approach to the identification of phosphoglucomutase genes.

    Science.gov (United States)

    Whitehouse, D B; Tomkins, J; Lovegrove, J U; Hopkinson, D A; McMillan, W O

    1998-04-01

    The expanding molecular database provides unparalleled opportunities for characterizing genes and for studying groups of related genes. We use sequences drawn from the database to construct an evolutionary framework for examining the important glycolytic enzyme phosphoglucomutase (PGM). Phosphoglucomutase plays a pivotal role in the synthesis and utilization of glycogen and is present in all organisms. In humans, there are three well-described isozymes, PGMI, PGM2, and PGM3. PGM1 was cloned 5 years ago; however, repeated attempts using both immunological approaches and molecular probes designed from PGM1 have failed to isolate either PGM2 or PGM3. Using a phylogenetic strategy, we first identified 47 highly divergent prokaryotic and eukaryotic PGM-like sequences from the database. Although overall amino acid identity often fell below 20%, the relative order, position, and sequence of three structural motifs, the active site and the magnesium--and sugar-binding sites, were conserved in all 47 sequences. The phylogenetic history of these sequences was complex and marked by duplications and translocations; two instances of transkingdom horizontal gene transfer were identified. Nonetheless, the sequences fell within six well-defined evolutionary lineages, three of which contained only prokaryotes. Of the two prokaryotic/eukaryotic lineages, one contained bacterial, yeast, slimemold, invertebrate, and vertebrate homologs to human PGM1 and the second contained likely homologs to human PGM2. Indeed, an amino acid sequence, derived from a partial human cDNA, that fell within the second cross-kingdom lineage bears several characteristics expected for PGM2. A third lineage may contain homologs to human PGM3. On a general level, our phylogenetic-based approach shows promise for the further utilization of the extensive molecular database. PMID:9549096

  20. Effective Approach to Label Extraction and Matching%一种有效的标签抽取和匹配方法

    Institute of Scientific and Technical Information of China (English)

    邹显春; 吴春明; 李盛瑜

    2012-01-01

    Label extraction and matching are an important part of the query interface understanding. A vision-based label extraction and matching approach was proposed in this paper. First, the factors which affect label matching were deeply analyzed,and then,a method of reconstructing query interface by analyzing its html code was given correspondingly which can restore the visual layout of form effectively. Finally, the element-label matching was realized which comprehensively considers label tag,text semanteme and position feature. Experiments on 277 query interfaces in 8 domains demonstrate the feasibility of our proposed approach.%标签抽取和匹配是查询接口理解的重要组成部分.提出了一种基于视觉的标签抽取和匹配方法,深入分析了相关匹配因子,给出了一种对查询接口表单进行重构的方法,它能依据接口HTML源代码自动还原出该表单的视觉布局特征.在最终的匹配算法中,综合考虑了基于label标记的匹配、基于文本语义的匹配以及基于位置特征的匹配.在8个领域共计277个查询接口上的实验证明了所提方法能取得较高的匹配精度.

  1. Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors

    KAUST Repository

    Li, Huibin

    2014-11-12

    Registration algorithms performed on point clouds or range images of face scans have been successfully used for automatic 3D face recognition under expression variations, but have rarely been investigated to solve pose changes and occlusions mainly since that the basic landmarks to initialize coarse alignment are not always available. Recently, local feature-based SIFT-like matching proves competent to handle all such variations without registration. In this paper, towards 3D face recognition for real-life biometric applications, we significantly extend the SIFT-like matching framework to mesh data and propose a novel approach using fine-grained matching of 3D keypoint descriptors. First, two principal curvature-based 3D keypoint detectors are provided, which can repeatedly identify complementary locations on a face scan where local curvatures are high. Then, a robust 3D local coordinate system is built at each keypoint, which allows extraction of pose-invariant features. Three keypoint descriptors, corresponding to three surface differential quantities, are designed, and their feature-level fusion is employed to comprehensively describe local shapes of detected keypoints. Finally, we propose a multi-task sparse representation based fine-grained matching algorithm, which accounts for the average reconstruction error of probe face descriptors sparsely represented by a large dictionary of gallery descriptors in identification. Our approach is evaluated on the Bosphorus database and achieves rank-one recognition rates of 96.56, 98.82, 91.14, and 99.21 % on the entire database, and the expression, pose, and occlusion subsets, respectively. To the best of our knowledge, these are the best results reported so far on this database. Additionally, good generalization ability is also exhibited by the experiments on the FRGC v2.0 database.

  2. Comparison of endoscopic endonasal and bifrontal craniotomy approaches for olfactory groove meningiomas: A matched pair analysis of outcomes and frontal lobe changes on MRI.

    Science.gov (United States)

    de Almeida, John R; Carvalho, Felipe; Vaz Guimaraes Filho, Francisco; Kiehl, Tim-Rasmus; Koutourousiou, Maria; Su, Shirley; Vescan, Allan D; Witterick, Ian J; Zadeh, Gelareh; Wang, Eric W; Fernandez-Miranda, Juan C; Gardner, Paul A; Gentili, Fred; Snyderman, Carl H

    2015-11-01

    We compare the outcomes and postoperative MRI changes of endoscopic endonasal (EEA) and bifrontal craniotomy (BFC) approaches for olfactory groove meningiomas (OGM). All patients who underwent either BFC or EEA for OGM were eligible. Matched pairs were created by matching tumor volumes of an EEA patient with a BFC patient, and matching the timing of the postoperative scans. The tumor dimensions, peritumoral edema, resectability issues, and frontal lobe changes were recorded based on preoperative and postoperative MRI. Postoperative fluid-attenuated inversion recovery (FLAIR) hyperintensity and residual cystic cavity (porencephalic cave) volume were compared using univariable and multivariable analyses. From a total of 70 patients (46 EEA, 24 BFC), 10 matched pairs (20 patients) were created. Three patients (30%) in the EEA group and two (20%) in the BFC had postoperative cerebrospinal fluid leaks (p=0.61). Gross total resections were achieved in seven (70%) of the EEA group and nine (90%) of the BFC group (p=0.26), and one patient from each group developed a recurrence. On postoperative MRI, there was no significant difference in FLAIR signal volumes between EEA and BFC approaches (6.9 versus 13.3 cm(3); p=0.17) or in porencephalic cave volumes (1.7 versus 5.0 cm(3); p=0.11) in univariable analysis. However, in a multivariable analysis, EEA was associated with less postoperative FLAIR change (p=0.02) after adjusting for the volume of preoperative edema. This study provides preliminary evidence that EEA is associated with quantifiable improvements in postoperative frontal lobe imaging. PMID:26275331

  3. Mining a database of single amplified genomes from Red Sea brine pool extremophiles-improving reliability of gene function prediction using a profile and pattern matching algorithm (PPMA).

    KAUST Repository

    Grötzinger, Stefan W

    2014-04-07

    Reliable functional annotation of genomic data is the key-step in the discovery of novel enzymes. Intrinsic sequencing data quality problems of single amplified genomes (SAGs) and poor homology of novel extremophile\\'s genomes pose significant challenges for the attribution of functions to the coding sequences identified. The anoxic deep-sea brine pools of the Red Sea are a promising source of novel enzymes with unique evolutionary adaptation. Sequencing data from Red Sea brine pool cultures and SAGs are annotated and stored in the Integrated Data Warehouse of Microbial Genomes (INDIGO) data warehouse. Low sequence homology of annotated genes (no similarity for 35% of these genes) may translate into false positives when searching for specific functions. The Profile and Pattern Matching (PPM) strategy described here was developed to eliminate false positive annotations of enzyme function before progressing to labor-intensive hyper-saline gene expression and characterization. It utilizes InterPro-derived Gene Ontology (GO)-terms (which represent enzyme function profiles) and annotated relevant PROSITE IDs (which are linked to an amino acid consensus pattern). The PPM algorithm was tested on 15 protein families, which were selected based on scientific and commercial potential. An initial list of 2577 enzyme commission (E.C.) numbers was translated into 171 GO-terms and 49 consensus patterns. A subset of INDIGO-sequences consisting of 58 SAGs from six different taxons of bacteria and archaea were selected from six different brine pool environments. Those SAGs code for 74,516 genes, which were independently scanned for the GO-terms (profile filter) and PROSITE IDs (pattern filter). Following stringent reliability filtering, the non-redundant hits (106 profile hits and 147 pattern hits) are classified as reliable, if at least two relevant descriptors (GO-terms and/or consensus patterns) are present. Scripts for annotation, as well as for the PPM algorithm, are available

  4. Mining a database of single amplified genomes from Red Sea brine pool extremophiles – Improving reliability of gene function prediction using a profile and pattern matching algorithm (PPMA

    Directory of Open Access Journals (Sweden)

    Stefan Wolfgang Grötzinger

    2014-04-01

    Full Text Available Reliable functional annotation of genomic data is the key-step in the discovery of novel enzymes. Intrinsic sequencing data quality problems of single amplified genomes (SAGs and poor homology of novel extremophile’s genomes pose significant challenges for the attribution of functions to the coding sequences identified. The anoxic deep-sea brine pools of the Red Sea are a promising source of novel enzymes with unique evolutionary adaptation. Sequencing data from Red Sea brine pool cultures and SAGs are annotated and stored in the INDIGO data warehouse. Low sequence homology of annotated genes (no similarity for 35% of these genes may translate into false positives when searching for specific functions. The Profile & Pattern Matching (PPM strategy described here was developed to eliminate false positive annotations of enzyme function before progressing to labor-intensive hyper-saline gene expression and characterization. It utilizes InterPro-derived Gene Ontology (GO-terms (which represent enzyme function profiles and annotated relevant PROSITE IDs (which are linked to an amino acid consensus pattern. The PPM algorithm was tested on 15 protein families, which were selected based on scientific and commercial potential. An initial list of 2,577 E.C. numbers was translated into 171 GO-terms and 49 consensus patterns. A subset of INDIGO-sequences consisting of 58 SAGs from six different taxons of bacteria and archaea were selected from 6 different brine pool environments. Those SAGs code for 74,516 genes, which were independently scanned for the GO-terms (profile filter and PROSITE IDs (pattern filter. Following stringent reliability filtering, the non-redundant hits (106 profile hits and 147 pattern hits are classified as reliable, if at least two relevant descriptors (GO-terms and/or consensus patterns are present. Scripts for annotation, as well as for the PPM algorithm, are available through the INDIGO website.

  5. Data mining approach to predict BRCA1 gene mutation

    Directory of Open Access Journals (Sweden)

    Olegas Niakšu

    2013-09-01

    Full Text Available Breast cancer is the most frequent women cancer form and one of the leading mortality causes among women around the world. Patients with pathological mutation of a BRCA gene have 65% lifelong breast cancer probability. It is known that such patients have different cause of illness. In this study, we have proposed a new approach for the prediction of BRCA mutation carriers by methodically applying knowledge discovery steps and utilizing data mining methods. An alternative BRCA risk assessment model has been created utilizing decision tree classifier model. The biggest challenge was a very small size and imbalanced nature of the initial dataset, which have been collected by clinicians during 4 years of clinical trial. Iterative optimization of initial dataset, optimal algorithms selection and their parameterization have resulted in higher classifier model performance, with acceptable prediction accuracy for the clinical usage. In this study, three data mining problems have been analyzed using eleven data mining algorithms.

  6. Regulation of gene expression by hypoxia: a molecular approach.

    Science.gov (United States)

    Beitner-Johnson, D; Shull, G E; Dedman, J R; Millhorn, D E

    1997-11-01

    Oxygen is a strict requirement for cell function. The cellular mechanisms by which organisms detect and respond to changes in oxygen tension remain a major unanswered question in pulmonary physiology. Part of the difficulty in addressing this question is due to the limited scope of experiments that can be performed in vivo. In the past few years, several laboratories have begun to make progress in this area, using a variety of cell culture model systems and sophisticated genetic manipulations. Here, we review the current state of knowledge of regulation of gene expression by hypoxia, and describe novel experimental approaches that promise to broaden our understanding of how cells and whole organisms respond to alterations in O2 tension. PMID:9407603

  7. The direction of causality between exports and firm performance: microeconomic evidence from Croatia using the matching approach

    Directory of Open Access Journals (Sweden)

    Miljana Valdec

    2015-03-01

    Full Text Available This paper contributes to the literature by using propensity score matching to test for causal effects of starting to export on firm performance in Croatian manufacturing firm-level data. The results confirm that exporters have characteristics superior to those of non-exporters. In the main sample specification there is pervasive evidence of self-selection into export markets, meaning that firms are successful years before they become exporters. Using multiple firm performance indicators, panel and cross section data models together with various sample specifications there is scant evidence on learning-by-exporting which holds true only in a few cases. On the other hand, higher sales growth is found to be a more conclusive distinguishing characteristic of new exporters. As in similar studies, we find that a part of the results depends on the number of export starters in the estimation sample.

  8. The correlation of mammographic-and histologic patterns of breast cancers in BRCA1 gene mutation carriers, compared to age-matched sporadic controls

    Energy Technology Data Exchange (ETDEWEB)

    Kaas, R. [The Netherlands Cancer Institute / Antoni van Leeuwenhoek Hospital, Department of Surgery, Amsterdam (Netherlands); Kroger, R.; Muller, S.H. [The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Department of Radiology, Amsterdam (Netherlands); Peterse, J.L. [The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Department of Pathology, Amsterdam (Netherlands); Hart, A.A.M. [The Netherlands Cancer Institute / Antoni van Leeuwenhoek Hospital, Department of Radiotherapy, Amsterdam (Netherlands)

    2006-12-15

    Breast cancers in BRCA1 gene mutation carriers often have specific histologic features: grade III tumors with pushing margins. Our purpose was to compare the mammographic and histologic features of breast cancers in carriers with those in age-matched sporadic controls. The features of breast cancers in 27 BRCA1 carriers found during annual surveillance were compared to those in 107 age-matched sporadic controls. The carriers had no (classic) spiculated mammographic lesions, a high percentage of well-defined masses and hardly any masses with microcalcifications, whereas the controls had significantly fewer well-defined ones and only in 27% spiculated lesions on the mammogram. The well-defined mammographic tumors correlated in 83% of the carriers and in 70% of the controls with histologic circumscribed tumor margins. Spiculated mammographic lesions in the controls were in 90% grade I or II tumors. DCIS with or without infiltration was seen in 22% of the carriers and in 45% of the controls. In conclusion, breast cancers diagnosed in BRCA1 carriers do not have classic malignant mammographic features. A minority of the young sporadic controls show the classic malignant lesion on the mammogram. Both carriers and controls generally show a good correlation between their mammographic- and histologic tumor pattern. (orig.)

  9. The correlation of mammographic-and histologic patterns of breast cancers in BRCA1 gene mutation carriers, compared to age-matched sporadic controls

    International Nuclear Information System (INIS)

    Breast cancers in BRCA1 gene mutation carriers often have specific histologic features: grade III tumors with pushing margins. Our purpose was to compare the mammographic and histologic features of breast cancers in carriers with those in age-matched sporadic controls. The features of breast cancers in 27 BRCA1 carriers found during annual surveillance were compared to those in 107 age-matched sporadic controls. The carriers had no (classic) spiculated mammographic lesions, a high percentage of well-defined masses and hardly any masses with microcalcifications, whereas the controls had significantly fewer well-defined ones and only in 27% spiculated lesions on the mammogram. The well-defined mammographic tumors correlated in 83% of the carriers and in 70% of the controls with histologic circumscribed tumor margins. Spiculated mammographic lesions in the controls were in 90% grade I or II tumors. DCIS with or without infiltration was seen in 22% of the carriers and in 45% of the controls. In conclusion, breast cancers diagnosed in BRCA1 carriers do not have classic malignant mammographic features. A minority of the young sporadic controls show the classic malignant lesion on the mammogram. Both carriers and controls generally show a good correlation between their mammographic- and histologic tumor pattern. (orig.)

  10. Generalised Matching

    Science.gov (United States)

    Clifford, Raphael; Harrow, Aram W.; Popa, Alexandru; Sach, Benjamin

    Given a pattern p over an alphabet Σ p and a text t over an alphabet Σ t , we consider the problem of determining a mapping f from Σ p to {Σ}t+ such that t = f(p 1)f(p 2)...f(p m ). This class of problems, which was first introduced by Amir and Nor in 2004, is defined by different constraints on the mapping f. We give NP-Completeness results for a wide range of conditions. These include when f is either many-to-one or one-to-one, when Σ t is binary and when the range of f is limited to strings of constant length. We then introduce a related problem we term pattern matching with string classes which we show to be solvable efficiently. Finally, we discuss an optimisation variant of generalised matching and give a polynomial-time min (1,sqrt{k/OPT})-approximation algorithm for fixed k.

  11. Identifying genes associated with quantitative traits in pigs: integrating quantitative and molecular approaches for meat quality

    Directory of Open Access Journals (Sweden)

    Karl Schellander

    2010-01-01

    Full Text Available Two major strategies are used to identify genes that are involved in complex traits, genome scanning and candidate gene approaches. While a quantitative trait locus (QTL strategy relies on a scan of the entire genome combined with phenotypic measurements, a candidate gene approach tries to identify genes based on their possible role in the physiology of the traits. Both strategies are based on the integration between quantitative and molecular approaches. Over the last decade, enormous effort has been applied to identify and localize QTL involved in most of the economically important traits in pigs and a number of candidate genes were suggested and further validated according to a concordant position to the detected QTL and related functions. However, lacking of information in regards to identified genes within the identified QTL, and false-positive QTL are major constraints that limit the successful of this approach. Additional approaches, including a gene expression analysis of the divergence of phenotype of interest was integrated into a candidate gene analysis, in which a putative candidate gene is the one that could be statistically detected from the genes controlling large components of inheritable gene expression variation. Furthermore, a remarkable progress of molecular approaches by newly developed technique, a study of an interaction between genes and a holistic study of biological regulation, system biology, is underway. These continuations will assist the researchers to identify direct candidate gene for quantitative traits in animal breeding.

  12. Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis from B-mode ultrasound

    Science.gov (United States)

    Gastounioti, A.; Golemati, S.; Stoitsis, J.; Nikita, K. S.

    2011-11-01

    Block matching (BM) has been previously used to estimate motion of the carotid artery from B-mode ultrasound image sequences. In this paper, Kalman filtering (KF) was incorporated in this conventional method in two distinct scenarios: (a) as an adaptive strategy, by renewing the reference block and (b) by renewing the displacements estimated by BM or adaptive BM. All methods resulting from combinations of BM and KF with the two scenarios were evaluated on synthetic image sequences by computing the warping index, defined as the mean squared error between the real and estimated displacements. Adaptive BM, followed by an update through the second scenario at the end of tracking, ABM_KF-K2, minimized the warping index and yielded average displacement error reductions of 24% with respect to BM. The same method decreased estimation bias and jitter over varying center frequencies by 30% and 64%, respectively, with respect to BM. These results demonstrated the increased accuracy and robustness of ABM_KF-K2 in motion tracking of the arterial wall from B-mode ultrasound images, which is crucial in the study of mechanical properties of normal and diseased arterial segments.

  13. Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis from B-mode ultrasound

    International Nuclear Information System (INIS)

    Block matching (BM) has been previously used to estimate motion of the carotid artery from B-mode ultrasound image sequences. In this paper, Kalman filtering (KF) was incorporated in this conventional method in two distinct scenarios: (a) as an adaptive strategy, by renewing the reference block and (b) by renewing the displacements estimated by BM or adaptive BM. All methods resulting from combinations of BM and KF with the two scenarios were evaluated on synthetic image sequences by computing the warping index, defined as the mean squared error between the real and estimated displacements. Adaptive BM, followed by an update through the second scenario at the end of tracking, ABMKF-K2, minimized the warping index and yielded average displacement error reductions of 24% with respect to BM. The same method decreased estimation bias and jitter over varying center frequencies by 30% and 64%, respectively, with respect to BM. These results demonstrated the increased accuracy and robustness of ABMKF-K2 in motion tracking of the arterial wall from B-mode ultrasound images, which is crucial in the study of mechanical properties of normal and diseased arterial segments

  14. Biclustering using Parallel Fuzzy Approach for Analysis of Microarray Gene Expression Data

    OpenAIRE

    Dwitiya Tyagi-Tiwari; Sujoy Das; Manoj Jha; Namita Srivastava

    2015-01-01

    Biclusters are required to analyzing gene expression patterns of genes comparing rows in expression profiles and analyzing expression profiles of samples by comparing columns in gene expression matrix. In the process of biclustering we need to cluster genes and samples. The algorithm presented in this paper is based upon the two-way clustering approach in which the genes and samples are clustered using parallel fuzzy C-means clustering using message passing interface, we call it MFCM. MFCM ap...

  15. Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data.

    Science.gov (United States)

    Shen, Qi; Shi, Wei-Min; Kong, Wei

    2008-02-01

    Gene expression data are characterized by thousands even tens of thousands of measured genes on only a few tissue samples. This can lead either to possible overfitting and dimensional curse or even to a complete failure in analysis of microarray data. Gene selection is an important component for gene expression-based tumor classification systems. In this paper, we develop a hybrid particle swarm optimization (PSO) and tabu search (HPSOTS) approach for gene selection for tumor classification. The incorporation of tabu search (TS) as a local improvement procedure enables the algorithm HPSOTS to overleap local optima and show satisfactory performance. The proposed approach is applied to three different microarray data sets. Moreover, we compare the performance of HPSOTS on these datasets to that of stepwise selection, the pure TS and PSO algorithm. It has been demonstrated that the HPSOTS is a useful tool for gene selection and mining high dimension data. PMID:18093877

  16. Unifying Candidate Gene and GWAS Approaches in Asthma

    OpenAIRE

    Michel, Sven; Liang, Liming; Depner, Martin; Klopp, Norman; Ruether, Andreas; Kumar, Ashish; Schedel, Michaela; Vogelberg, Christian; Mutius, Erika von; Berg, Andrea von; Bufe, Albrecht; Rietschel, Ernst; Heinzmann, Andrea; Laub, Otto; Simma, Burkhard

    2010-01-01

    The first genome wide association study (GWAS) for childhood asthma identified a novel major susceptibility locus on chromosome 17q21 harboring the ORMDL3 gene, but the role of previous asthma candidate genes was not specifically analyzed in this GWAS. We systematically identified 89 SNPs in 14 candidate genes previously associated with asthma in >3 independent study populations. We re-genotyped 39 SNPs in these genes not covered by GWAS performed in 703 asthmatics and 658 reference children....

  17. Association between Genetic Polymorphisms of DNA Repair Genes and Chromosomal Damage for 1,3-Butadiene-Exposed Workers in a Matched Study in China

    Directory of Open Access Journals (Sweden)

    Menglong Xiang

    2015-01-01

    Full Text Available The aim of the study was to examine the association between polymorphisms of DNA repair genes and chromosomal damage of 1,3-butadiene- (BD- exposed workers. The study was conducted in 45 pairs of occupationally exposed workers in a BD product workshop and matched control workers in an administrative office and a circulatory water workshop in China. Newly developed biomarkers (micronuclei, MNi; nucleoplasmic bridges, NPBs; nuclear buds, NBUDs in the cytokinesis-blocked micronucleus (CBMN cytome assay were adopted to detect chromosomal damage. PCR and PCR-restriction fragment length polymorphism (RFLP are adopted to analyze polymorphisms of DNA repair genes, such as X-ray repair cross-complementing Group 1 (XRCC1, O6-methylguanine-DNA methyltransferase (MGMT, poly (adenosine diphosphate-ribose polymerases (ADPRT, and apurinic/apyrimidinic endonucleases (APE1. The BD-exposed workers exhibited increased frequencies of MNi and NPBs when compared to subjects in the control group. The results also show that the BD-exposed workers carrying XRCC1 diplotypes TCGA-CCGG (4.25±2.06‰ (FR=2.10, 95% CI: 1.03–4.28 and TCGG-TCGA (5.80±3.56‰ (FR=2.75, 95% CI: 0.76–2.65 had statistically higher NBUD frequencies than those who carried diplotype TCGG-TCGG (1.89±1.27‰. Our study suggests that polymorphisms of XRCC1 gene may influence chromosomal damage in BD-exposed workers.

  18. Meaningful Matches in Stereovision

    CERN Document Server

    Sabater, Neus; Morel, Jean-Michel

    2011-01-01

    This paper introduces a statistical method to decide whether two blocks in a pair of of images match reliably. The method ensures that the selected block matches are unlikely to have occurred "just by chance." The new approach is based on the definition of a simple but faithful statistical "background model" for image blocks learned from the image itself. A theorem guarantees that under this model not more than a fixed number of wrong matches occurs (on average) for the whole image. This fixed number (the number of false alarms) is the only method parameter. Furthermore, the number of false alarms associated with each match measures its reliability. This "a contrario" block-matching method, however, cannot rule out false matches due to the presence of periodic objects in the images. But it is successfully complemented by a parameterless "self-similarity threshold." Experimental evidence shows that the proposed method also detects occlusions and incoherent motions due to vehicles and pedestrians in non simulta...

  19. Core set approach to reduce uncertainty of gene trees

    Directory of Open Access Journals (Sweden)

    Okuhara Yoshiyasu

    2006-05-01

    Full Text Available Abstract Background A genealogy based on gene sequences within a species plays an essential role in the estimation of the character, structure, and evolutionary history of that species. Because intraspecific sequences are more closely related than interspecific ones, detailed information on the evolutionary process may be available by determining all the node sequences of trees and provide insight into functional constraints and adaptations. However, strong evolutionary correlations on a few lineages make this determination difficult as a whole, and the maximum parsimony (MP method frequently allows a number of topologies with a same total branching length. Results Kitazoe et al. developed multidimensional vector-space representation of phylogeny. It converts additivity of evolutionary distances to orthogonality among the vectors expressing branches, and provides a unified index to measure deviations from the orthogoality. In this paper, this index is used to detect and exclude sequences with large deviations from orthogonality, and then selects a maximum subset ("core set" of sequences for which MP generates a single solution. Once the core set tree is formed whose all the node sequences are given, the excluded sequences are found to have basically two phylogenetic positions on this tree, respectively. Fortunately, since multiple substitutions are rare in intra-species sequences, the variance of nucleotide transitions is confined to a small range. By applying the core set approach to 38 partial env sequences of HIV-1 in a single patient and also 198 mitochondrial COI and COII DNA sequences of Anopheles dirus, we demonstrate how consistently this approach constructs the tree. Conclusion In the HIV dataset, we confirmed that the obtained core set tree is the unique maximum set for which MP proposes a single tree. In the mosquito data set, the fluctuation of nucleotide transitions caused by the sequences excluded from the core set was very small

  20. REVIEW OF PHASE BASED IMAGE MATCHING

    OpenAIRE

    Jaydeep Kale*

    2016-01-01

    This paper review the phase based image matching method. A major approach for image matching is to extract feature vectors corresponding to given images and perform image matching based on some distance metrics. One of the difficult problem with this feature based image matching is that matching performance depends upon many parameters in feature extraction process. So this paper reviews the phase based image matching methods in which 2D DFTs of given images are used to determine resemblance ...

  1. An Improved Systematic Approach to Predicting Transcription Factor Target Genes Using Support Vector Machine

    OpenAIRE

    Song Cui; Eunseog Youn; Joohyun Lee; Maas, Stephan J.

    2014-01-01

    Biological prediction of transcription factor binding sites and their corresponding transcription factor target genes (TFTGs) makes great contribution to understanding the gene regulatory networks. However, these approaches are based on laborious and time-consuming biological experiments. Numerous computational approaches have shown great potential to circumvent laborious biological methods. However, the majority of these algorithms provide limited performances and fail to consider the struct...

  2. Properties of Submillimeter Galaxies in a Semi-analytic Model using the "Count Matching" Approach: Application to the ECDF-S

    CERN Document Server

    Arancibia, Alejandra M Muñoz; Padilla, Nelson D; Cora, Sofía A; Gawiser, Eric; Kurczynski, Peter L; Ruiz, Andrés N

    2014-01-01

    We present a new technique for modeling submillimeter galaxies (SMGs): the "Count Matching" approach. Using lightcones drawn from a semi-analytic model of galaxy formation, we choose physical galaxy properties given by the model as proxies for their submillimeter luminosities, assuming a monotonic relationship. As recent interferometric observations of the Extended Chandra Deep Field South show that the brightest sources detected by single-dish telescopes are comprised by emission from multiple fainter sources, we assign the submillimeter fluxes so that the combined LABOCA plus bright-end ALMA observed number counts for this field are reproduced. After turning the model catalogs given by the proxies into submillimeter maps, we perform a source extraction to include the effects of the observational process on the recovered counts and galaxy properties. We find that for all proxies, there are lines of sight giving counts consistent with those derived from LABOCA observations, even for input sources with randomi...

  3. Unifying candidate gene and GWAS Approaches in Asthma.

    Directory of Open Access Journals (Sweden)

    Sven Michel

    Full Text Available The first genome wide association study (GWAS for childhood asthma identified a novel major susceptibility locus on chromosome 17q21 harboring the ORMDL3 gene, but the role of previous asthma candidate genes was not specifically analyzed in this GWAS. We systematically identified 89 SNPs in 14 candidate genes previously associated with asthma in >3 independent study populations. We re-genotyped 39 SNPs in these genes not covered by GWAS performed in 703 asthmatics and 658 reference children. Genotyping data were compared to imputation data derived from Illumina HumanHap300 chip genotyping. Results were combined to analyze 566 SNPs covering all 14 candidate gene loci. Genotyped polymorphisms in ADAM33, GSTP1 and VDR showed effects with p-values <0.0035 (corrected for multiple testing. Combining genotyping and imputation, polymorphisms in DPP10, EDN1, IL12B, IL13, IL4, IL4R and TNF showed associations at a significance level between p = 0.05 and p = 0.0035. These data indicate that (a GWAS coverage is insufficient for many asthma candidate genes, (b imputation based on these data is reliable but incomplete, and (c SNPs in three previously identified asthma candidate genes replicate in our GWAS population with significance after correction for multiple testing in 14 genes.

  4. Gene duplication and the origins of morphological complexity in pancrustacean eyes, a genomic approach

    OpenAIRE

    Serb Jeanne M; Syme Anna E; Villacorta Carlos; Plachetzki David C; Pankey M Sabrina; Rivera Ajna S; Omilian Angela R; Oakley Todd H

    2010-01-01

    Abstract Background Duplication and divergence of genes and genetic networks is hypothesized to be a major driver of the evolution of complexity and novel features. Here, we examine the history of genes and genetic networks in the context of eye evolution by using new approaches to understand patterns of gene duplication during the evolution of metazoan genomes. We hypothesize that 1) genes involved in eye development and phototransduction have duplicated and are retained at higher rates in a...

  5. Navigating the complex path between the oxytocin receptor gene (OXTR) and cooperation: an endophenotype approach

    OpenAIRE

    Haas, Brian W.

    2013-01-01

    Although cooperation represents a core facet of human social behavior there exists considerable variability across people in terms of the tendency to cooperate. One factor that may contribute to individual differences in cooperation is a key gene within the oxytocin (OT) system, the OT reception gene (OXTR). In this article, we aim to bridge the gap between the OXTR gene and cooperation by using an endophenotype approach. We present evidence that the association between the OXTR gene and coop...

  6. A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism

    Directory of Open Access Journals (Sweden)

    Carey Vincent J

    2009-05-01

    Full Text Available Abstract Background Graphical models (e.g., Bayesian networks have been used frequently to describe complex interaction patterns and dependent structures among genes and other phenotypes. Estimation of such networks has been a challenging problem when the genes considered greatly outnumber the samples, and the situation is exacerbated when one wishes to consider the impact of polymorphisms (SNPs in genes. Results Here we describe a multistep approach to infer a gene-SNP network from gene expression and genotyped SNP data. Our approach is based on 1 construction of a graphical Gaussian model (GGM based on small sample estimation of partial correlation and false-discovery rate multiple testing; 2 extraction of a subnetwork of genes directly linked to a target candidate gene of interest; 3 identification of cis-acting regulatory variants for the genes composing the subnetwork; and 4 evaluating the identified cis-acting variants for trans-acting regulatory effects of the target candidate gene. This approach identifies significant gene-gene and gene-SNP associations not solely on the basis of gene co-expression but rather through whole-network modeling. We demonstrate the method by building two complex gene-SNP networks around Interferon Receptor 12B2 (IL12RB2 and Interleukin 1B (IL1B, two biologic candidates in asthma pathogenesis, using 534,290 genotyped variants and gene expression data on 22,177 genes from total RNA derived from peripheral blood CD4+ lymphocytes from 154 asthmatics. Conclusion Our results suggest that graphical models based on integrative genomic data are computationally efficient, work well with small samples, and can describe complex interactions among genes and polymorphisms that could not be identified by pair-wise association testing.

  7. Biclustering using Parallel Fuzzy Approach for Analysis of Microarray Gene Expression Data

    Directory of Open Access Journals (Sweden)

    Dwitiya Tyagi-Tiwari

    2015-09-01

    Full Text Available Biclusters are required to analyzing gene expression patterns of genes comparing rows in expression profiles and analyzing expression profiles of samples by comparing columns in gene expression matrix. In the process of biclustering we need to cluster genes and samples. The algorithm presented in this paper is based upon the two-way clustering approach in which the genes and samples are clustered using parallel fuzzy C-means clustering using message passing interface, we call it MFCM. MFCM applied for clustering on genes and samples which maximize membership function values of the data set. It is a parallelized rework of a parallel fuzzy two-way clustering algorithm for microarray gene expression data [9], to study the efficiency and parallelization improvement of the algorithm. The algorithm uses gene entropy measure to filter the clustered data to find biclusters. The method is able to get highly correlated biclusters of the gene expression dataset.

  8. Randomized Algorithmic Approach for Biclustering of Gene Expression Data

    OpenAIRE

    Sradhanjali Nayak; Debahuti Mishra; Satyabrata Das; Amiya Kumar Rath

    2011-01-01

    Microarray data processing revolves around the pivotal issue of locating genes altering their expression in response to pathogens, other organisms or other multiple environmental conditions resulted out of a comparison between infected and uninfected cells or tissues. To have a comprehensive analysis of the corollaries of certain treatments, deseases and developmental stages embodied as a data matrix on gene expression data is possible through simultaneous observation and monitoring of the ex...

  9. Finding Clocks in Genes: A Bayesian Approach to Estimate Periodicity

    Directory of Open Access Journals (Sweden)

    Yan Ren

    2016-01-01

    Full Text Available Identification of rhythmic gene expression from metabolic cycles to circadian rhythms is crucial for understanding the gene regulatory networks and functions of these biological processes. Recently, two algorithms, JTK_CYCLE and ARSER, have been developed to estimate periodicity of rhythmic gene expression. JTK_CYCLE performs well for long or less noisy time series, while ARSER performs well for detecting a single rhythmic category. However, observing gene expression at high temporal resolution is not always feasible, and many scientists are interested in exploring both ultradian and circadian rhythmic categories simultaneously. In this paper, a new algorithm, named autoregressive Bayesian spectral regression (ABSR, is proposed. It estimates the period of time-course experimental data and classifies gene expression profiles into multiple rhythmic categories simultaneously. Through the simulation studies, it is shown that ABSR substantially improves the accuracy of periodicity estimation and clustering of rhythmic categories as compared to JTK_CYCLE and ARSER for the data with low temporal resolution. Moreover, ABSR is insensitive to rhythmic patterns. This new scheme is applied to existing time-course mouse liver data to estimate period of rhythms and classify the genes into ultradian, circadian, and arrhythmic categories. It is observed that 49.2% of the circadian profiles detected by JTK_CYCLE with 1-hour resolution are also detected by ABSR with only 4-hour resolution.

  10. A Novel Approach to Signal Detection of Sensor Array Units Using 5-3-1 Rule Based Matched Filter Algorithm with Intelligent Identifiers

    Directory of Open Access Journals (Sweden)

    Mahmoud Z. Iskandarani

    2010-01-01

    Full Text Available A novel approach to signal detection and identification was developed and tested. The new algorithm was based on provision of tagging a Matched Filter (MF with identifiers to recognize the source signal with and without noise, so that classification can be carried out. The algorithm was applied successfully to chemical Sensor Array Units (SAU. Problem statement: Signals obtained from chemical sensors were sometimes contaminated with noise. Detection of known signals from noisy surroundings was critical in the field of sensors and their applications. Approach: Six chemical sensor array units were tested at different gas concentrations. The testing was carried out under normal conditions and with the presence of noise. The developed algorithm was then applied to detect, identify and classify the results. Results: The 5-3-1 algorithm produced symmetrical arrays with the source signal identifiers at the corners. The symmetry allowed the use of one-third of the produced data for identification, saving processing time and memory storage. Conclusion: The obtained data also proved that gap separation between conducting electrodes to inversely affect device conductance, with different gap widths affected similarly with temperature change per constant deposited film thickness. Also, each device conductance increased in response to increase in applied gas concentration.

  11. A Novel Approach to Functional Analysis of the Ribulose Bisphosphate Carboxylase Small Subunit Gene by Agrobacterium-Mediated Gene Silencing

    Institute of Scientific and Technical Information of China (English)

    Xiao-Fu Zhou; Peng-Da Ma; Ren-Hou Wang; Bo Liu; Xing-Zhi Wang

    2006-01-01

    A novel approach to virus-induced post-transcriptional gene silencing for studying the function of the ribulose bisphosphate carboxylase small subunlt (rbcS) gene was established and optimized using potato virus X vector and Nicotiana benthamiana as experimental material. The analysis of silencing phenomena,transcriptional level, protein expression, and pigment measurement showed that the expression of the rbcS endogenous gene was inactivated by the expression of a 500-bp homologous cDNA fragment carried in the virus vector.

  12. Clustering based gene expression feature selection method: A computational approach to enrich the classifier efficiency of differentially expressed genes

    KAUST Repository

    Abusamra, Heba

    2016-07-20

    The native nature of high dimension low sample size of gene expression data make the classification task more challenging. Therefore, feature (gene) selection become an apparent need. Selecting a meaningful and relevant genes for classifier not only decrease the computational time and cost, but also improve the classification performance. Among different approaches of feature selection methods, however most of them suffer from several problems such as lack of robustness, validation issues etc. Here, we present a new feature selection technique that takes advantage of clustering both samples and genes. Materials and methods We used leukemia gene expression dataset [1]. The effectiveness of the selected features were evaluated by four different classification methods; support vector machines, k-nearest neighbor, random forest, and linear discriminate analysis. The method evaluate the importance and relevance of each gene cluster by summing the expression level for each gene belongs to this cluster. The gene cluster consider important, if it satisfies conditions depend on thresholds and percentage otherwise eliminated. Results Initial analysis identified 7120 differentially expressed genes of leukemia (Fig. 15a), after applying our feature selection methodology we end up with specific 1117 genes discriminating two classes of leukemia (Fig. 15b). Further applying the same method with more stringent higher positive and lower negative threshold condition, number reduced to 58 genes have be tested to evaluate the effectiveness of the method (Fig. 15c). The results of the four classification methods are summarized in Table 11. Conclusions The feature selection method gave good results with minimum classification error. Our heat-map result shows distinct pattern of refines genes discriminating between two classes of leukemia.

  13. Gene discovery in the hamster: a comparative genomics approach for gene annotation by sequencing of hamster testis cDNAs

    Directory of Open Access Journals (Sweden)

    Khan Shafiq A

    2003-06-01

    Full Text Available Abstract Background Complete genome annotation will likely be achieved through a combination of computer-based analysis of available genome sequences combined with direct experimental characterization of expressed regions of individual genomes. We have utilized a comparative genomics approach involving the sequencing of randomly selected hamster testis cDNAs to begin to identify genes not previously annotated on the human, mouse, rat and Fugu (pufferfish genomes. Results 735 distinct sequences were analyzed for their relatedness to known sequences in public databases. Eight of these sequences were derived from previously unidentified genes and expression of these genes in testis was confirmed by Northern blotting. The genomic locations of each sequence were mapped in human, mouse, rat and pufferfish, where applicable, and the structure of their cognate genes was derived using computer-based predictions, genomic comparisons and analysis of uncharacterized cDNA sequences from human and macaque. Conclusion The use of a comparative genomics approach resulted in the identification of eight cDNAs that correspond to previously uncharacterized genes in the human genome. The proteins encoded by these genes included a new member of the kinesin superfamily, a SET/MYND-domain protein, and six proteins for which no specific function could be predicted. Each gene was expressed primarily in testis, suggesting that they may play roles in the development and/or function of testicular cells.

  14. Analysis of diabetic retinopathy biomarker VEGF gene by computational approaches

    Directory of Open Access Journals (Sweden)

    Jayashree Sadasivam

    2012-08-01

    Full Text Available Diabetic retinopathy, the most common diabetic eye disease, is caused by changes in the blood vessels of the retina which remains the major cause. It is characterized by vascular permeability and increased tissue ischemia and angiogenesis. One of the biomarker for Diabetic retinopathy has been identified as Vascular Endothelial Growth Factor ( VEGF gene by computational analysis. VEGF is a sub-family of growth factors, the platelet-derived growth factor family of cystine-knot growth factors. They are important signalling proteins involved in both vasculogenesis and angiogenesis, Over expression of VEGF can cause vascular disease in the retina of the eye and other parts of the body. Drugs can inhibit VEGF and control or slowdown those disease. Computational analysis of VEGF with other  genes responsible for diabetic retinopathy were done  by aligning those genes by pair wise and multiple sequence alignments. MSA shows VEGF’s role in diabetic retinopathy and its  related with other genes and proteins responsible for pathogenesis of diabetic retinopathy. Also  the determination of the promoter and conserved domain of  VEGF gene  help us to identify  its expression levels. Thus molecular docking studies were carried out  to analyse the biomarker VEGF, that helps in treatment of diabetic retinopathy which is proliferative in nature due to uncontrolled angiogenesis. Normal 0 false false false EN-US X-NONE X-NONE

  15. PREFACE: Physics approaches to protein interactions and gene regulation Physics approaches to protein interactions and gene regulation

    Science.gov (United States)

    Nussinov, Ruth; Panchenko, Anna R.; Przytycka, Teresa

    2011-06-01

    networks have been identified, including scale free distribution of the vertex degree, network motifs, and modularity, to name a few. These studies of network organization require the network to be as complete as possible, which given the limitations of experimental techniques is not currently the case. Therefore, experimental procedures for detecting biomolecular interactions should be complemented by computational approaches. The paper by Lees et al provides a review of computational methods, integrating multiple independent sources of data to infer physical and functional protein-protein interaction networks. One of the important aspects of protein interactions that should be accounted for in the prediction of protein interaction networks is that many proteins are composed of distinct domains. Protein domains may mediate protein interactions while proteins and their interaction networks may gain complexity through gene duplication and expansion of existing domain architectures via domain rearrangements. The latter mechanisms have been explored in detail in the paper by Cohen-Gihon et al. Protein-protein interactions are not the only component of the cell's interactome. Regulation of cell activity can be achieved at the level of transcription and involve a transcription factor—DNA binding which typically requires recognition of a specific DNA sequence motif. Chip-Chip and the more recent Chip-Seq technologies allow in vivo identification of DNA binding sites and, together with novel in vitro approaches, provide data necessary for deciphering the corresponding binding motifs. Such information, complemented by structures of protein-DNA complexes and knowledge of the differences in binding sites among homologs, opens the door to constructing predictive binding models. The paper by Persikov and Singh provides an example of such a model in the Cys2His2 zinc finger family. Recent studies have indicated that the presence of such binding motifs is, however, neither necessary

  16. Approaches to diagnose DNA mismatch repair gene defects in cancer.

    Science.gov (United States)

    Peña-Diaz, Javier; Rasmussen, Lene Juel

    2016-02-01

    The DNA repair pathway mismatch repair (MMR) is responsible for the recognition and correction of DNA biosynthetic errors caused by inaccurate nucleotide incorporation during replication. Faulty MMR leads to failure to address the mispairs or insertion deletion loops (IDLs) left behind by the replicative polymerases and results in increased mutation load at the genome. The realization that defective MMR leads to a hypermutation phenotype and increased risk of tumorigenesis highlights the relevance of this pathway for human disease. The association of MMR defects with increased risk of cancer development was first observed in colorectal cancer patients that carried inactivating germline mutations in MMR genes and the disease was named as hereditary non-polyposis colorectal cancer (HNPCC). Currently, a growing list of cancers is found to be MMR defective and HNPCC has been renamed Lynch syndrome (LS) partly to include the associated risk of developing extra-colonic cancers. In addition, a number of non-hereditary, mostly epigenetic, alterations of MMR genes have been described in sporadic tumors. Besides conferring a strong cancer predisposition, genetic or epigenetic inactivation of MMR genes also renders cells resistant to some chemotherapeutic agents. Therefore, diagnosis of MMR deficiency has important implications for the management of the patients, the surveillance of their relatives in the case of LS and for the choice of treatment. Some of the alterations found in MMR genes have already been well defined and their pathogenicity assessed. Despite this substantial wealth of knowledge, the effects of a large number of alterations remain uncharacterized (variants of uncertain significance, VUSs). The advent of personalized genomics is likely to increase the list of VUSs found in MMR genes and anticipates the need of diagnostic tools for rapid assessment of their pathogenicity. This review describes current tools and future strategies for addressing the relevance

  17. The power of phylogenetic approaches to detect horizontally transferred genes

    Directory of Open Access Journals (Sweden)

    Gogarten J Peter

    2007-03-01

    Full Text Available Abstract Background Horizontal gene transfer plays an important role in evolution because it sometimes allows recipient lineages to adapt to new ecological niches. High genes transfer frequencies were inferred for prokaryotic and early eukaryotic evolution. Does horizontal gene transfer also impact phylogenetic reconstruction of the evolutionary history of genomes and organisms? The answer to this question depends at least in part on the actual gene transfer frequencies and on the ability to weed out transferred genes from further analyses. Are the detected transfers mainly false positives, or are they the tip of an iceberg of many transfer events most of which go undetected by current methods? Results Phylogenetic detection methods appear to be the method of choice to infer gene transfers, especially for ancient transfers and those followed by orthologous replacement. Here we explore how well some of these methods perform using in silico transfers between the terminal branches of a gamma proteobacterial, genome based phylogeny. For the experiments performed here on average the AU test at a 5% significance level detects 90.3% of the transfers and 91% of the exchanges as significant. Using the Robinson-Foulds distance only 57.7% of the exchanges and 60% of the donations were identified as significant. Analyses using bipartition spectra appeared most successful in our test case. The power of detection was on average 97% using a 70% cut-off and 94.2% with 90% cut-off for identifying conflicting bipartitions, while the rate of false positives was below 4.2% and 2.1% for the two cut-offs, respectively. For all methods the detection rates improved when more intervening branches separated donor and recipient. Conclusion Rates of detected transfers should not be mistaken for the actual transfer rates; most analyses of gene transfers remain anecdotal. The method and significance level to identify potential gene transfer events represent a trade

  18. Data Partitioning for Parallel Entity Matching

    CERN Document Server

    Kirsten, Toralf; Hartung, Michael; Groß, Anika; Köpcke, Hanna; Rahm, Erhard

    2010-01-01

    Entity matching is an important and difficult step for integrating web data. To reduce the typically high execution time for matching we investigate how we can perform entity matching in parallel on a distributed infrastructure. We propose different strategies to partition the input data and generate multiple match tasks that can be independently executed. One of our strategies supports both, blocking to reduce the search space for matching and parallel matching to improve efficiency. Special attention is given to the number and size of data partitions as they impact the overall communication overhead and memory requirements of individual match tasks. We have developed a service-based distributed infrastructure for the parallel execution of match workflows. We evaluate our approach in detail for different match strategies for matching real-world product data of different web shops. We also consider caching of in-put entities and affinity-based scheduling of match tasks.

  19. Gene Variants Associated with Antisocial Behaviour: A Latent Variable Approach

    Science.gov (United States)

    Bentley, Mary Jane; Lin, Haiqun; Fernandez, Thomas V.; Lee, Maria; Yrigollen, Carolyn M.; Pakstis, Andrew J.; Katsovich, Liliya; Olds, David L.; Grigorenko, Elena L.; Leckman, James F.

    2013-01-01

    Objective: The aim of this study was to determine if a latent variable approach might be useful in identifying shared variance across genetic risk alleles that is associated with antisocial behaviour at age 15 years. Methods: Using a conventional latent variable approach, we derived an antisocial phenotype in 328 adolescents utilizing data from a…

  20. Clinical development of gene therapy needs a tailored approach: a regulatory perspective from the European Union.

    Science.gov (United States)

    Narayanan, Gopalan; Cossu, Giulio; Galli, Maria Cristina; Flory, Egbert; Ovelgonne, Hans; Salmikangas, Paula; Schneider, Christian K; Trouvin, Jean-Hugues

    2014-03-01

    Gene therapy is a rapidly evolving field that needs an integrated approach, as acknowledged in the concept article on the revision of the guideline on gene transfer medicinal products. The first gene therapy application for marketing authorization was approved in the International Conference on Harmonisation (ICH) region in 2012, the product being Alipogene tiparvovec. The regulatory process for this product has been commented on extensively, highlighting the challenges posed by such a novel technology. Here, as current or previous members of the Committee for Advanced Therapies, we share our perspectives and views on gene therapy as a treatment modality based on current common understanding and regulatory experience of gene therapy products in the European Union to date. It is our view that a tailored approach is needed for a given gene therapy product in order to achieve successful marketing authorization. PMID:24649836

  1. A Gene Selection Approach based on Clustering for Classification Tasks in Colon Cancer

    Directory of Open Access Journals (Sweden)

    José Antonio CASTELLANOS GARZÓN

    2016-06-01

    Full Text Available Gene selection (GS is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different populations. In this context, a wide number of filter methods have been proposed in the literature to identify subsets of relevant genes in accordance with prefixed targets. Despite the fact that there is a wide number of proposals, the complexity imposed by this problem (GS remains a challenge. Hence, this paper proposes a novel approach for gene selection by using cluster techniques and filter methods on the found groupings to achieve informative gene subsets. As a result of applying our methodology to Colon cancer data, we have identified the best informative gene subset between several one subsets. According to the above, the reached results have proven the reliability of the approach given in this paper.

  2. Asymmetric colour matching: memory matching versus simultaneous matching

    OpenAIRE

    De Fez Saiz, Dolores; Capilla Perea, Pascual; Luque Cobija, María José; Pérez Carpinell, Jaime; Pozo, Juan Carlos del

    2001-01-01

    We have compared corresponding pairs obtained by simultaneous matching (haploscopic matching) and by memory matching (after 10 min) using 34 reference tests selected from the Munsell Atlas (glossy), belonging to the four main hues 5Y, 5G, 5PB, and 5RP. These colours lie very close to the F1 and F2 axes in the SVF space, where we have analyzed our results. Illuminants D65 and A were used as reference and matching illuminants, respectively. Our results show for both kinds of matching a tendency...

  3. Cloning approaches for identifying aging and longevity-related genes in mammals

    OpenAIRE

    Simoes, Davina C.; Gonos, Efstathios S.

    2008-01-01

    Aging is a phenomenon that affects nearly all animal species. Several studies using different systems have identified a number of processes thought to contribute to the aging phenotype. Many differentially expressed genes have been implicated, but the mechanisms governing mammalian aging (and longevity) are not yet fully understood, and the list of concerned genes is still incomplete and fragmented. Different approaches have been used to clone aging and longevity-related genes. In this articl...

  4. Clinical development of gene therapy needs a tailored approach: a regulatory perspective from the European Union.

    OpenAIRE

    Narayanan, Gopalan; Cossu, Giulio; Galli, Maria Cristina; Flory, Egbert; Ovelgonne, Hans; Salmikangas, Paula; Schneider, Christian K; Trouvin, Jean-Hugues

    2014-01-01

    Gene therapy is a rapidly evolving field that needs an integrated approach, as acknowledged in the concept article on the revision of the guideline on gene transfer medicinal products. The first gene therapy application for marketing authorization was approved in the International Conference on Harmonisation (ICH) region in 2012, the product being Alipogene tiparvovec. The regulatory process for this product has been commented on extensively, highlighting the challenges posed by such a novel ...

  5. A computational approach to identifying gene-microRNA modules in cancer.

    Science.gov (United States)

    Jin, Daeyong; Lee, Hyunju

    2015-01-01

    MicroRNAs (miRNAs) play key roles in the initiation and progression of various cancers by regulating genes. Regulatory interactions between genes and miRNAs are complex, as multiple miRNAs can regulate multiple genes. In addtion, these interactions vary from patient to patient and even among patients with the same cancer type, as cancer development is a heterogeneous process. These relationships are more complicated because transcription factors and other regulatory molecules can also regulate miRNAs and genes. Hence, it is important to identify the complex relationships between genes and miRNAs in cancer. In this study, we propose a computational approach to constructing modules that represent these relationships by integrating the expression data of genes and miRNAs with gene-gene interaction data. First, we used a biclustering algorithm to construct modules consisting of a subset of genes and a subset of samples to incorporate the heterogeneity of cancer cells. Second, we combined gene-gene interactions to include genes that play important roles in cancer-related pathways. Then, we selected miRNAs that are closely associated with genes in the modules based on a Gaussian Bayesian network and Bayesian Information Criteria. When we applied our approach to ovarian cancer and glioblastoma (GBM) data sets, 33 and 54 modules were constructed, respectively. In these modules, 91% and 94% of ovarian cancer and GBM modules, respectively, were explained either by direct regulation between genes and miRNAs or by indirect relationships via transcription factors. In addition, 48.4% and 74.0% of modules from ovarian cancer and GBM, respectively, were enriched with cancer-related pathways, and 51.7% and 71.7% of miRNAs in modules were ovarian cancer-related miRNAs and GBM-related miRNAs, respectively. Finally, we extensively analyzed significant modules and showed that most genes in these modules were related to ovarian cancer and GBM. PMID:25611546

  6. A computational approach to identifying gene-microRNA modules in cancer.

    Directory of Open Access Journals (Sweden)

    Daeyong Jin

    2015-01-01

    Full Text Available MicroRNAs (miRNAs play key roles in the initiation and progression of various cancers by regulating genes. Regulatory interactions between genes and miRNAs are complex, as multiple miRNAs can regulate multiple genes. In addtion, these interactions vary from patient to patient and even among patients with the same cancer type, as cancer development is a heterogeneous process. These relationships are more complicated because transcription factors and other regulatory molecules can also regulate miRNAs and genes. Hence, it is important to identify the complex relationships between genes and miRNAs in cancer. In this study, we propose a computational approach to constructing modules that represent these relationships by integrating the expression data of genes and miRNAs with gene-gene interaction data. First, we used a biclustering algorithm to construct modules consisting of a subset of genes and a subset of samples to incorporate the heterogeneity of cancer cells. Second, we combined gene-gene interactions to include genes that play important roles in cancer-related pathways. Then, we selected miRNAs that are closely associated with genes in the modules based on a Gaussian Bayesian network and Bayesian Information Criteria. When we applied our approach to ovarian cancer and glioblastoma (GBM data sets, 33 and 54 modules were constructed, respectively. In these modules, 91% and 94% of ovarian cancer and GBM modules, respectively, were explained either by direct regulation between genes and miRNAs or by indirect relationships via transcription factors. In addition, 48.4% and 74.0% of modules from ovarian cancer and GBM, respectively, were enriched with cancer-related pathways, and 51.7% and 71.7% of miRNAs in modules were ovarian cancer-related miRNAs and GBM-related miRNAs, respectively. Finally, we extensively analyzed significant modules and showed that most genes in these modules were related to ovarian cancer and GBM.

  7. A LEXICAL DECISION TREE SCHEME FOR SUPPORTING SCHEMA MATCHING

    OpenAIRE

    BEEN-CHIAN CHIEN; SHIANG-YI HE

    2011-01-01

    To manipulate semantic web and integrate different data sources efficiently, automatic schema matching plays a key role. A generic schema matching method generally includes two phases: the linguistic similarity matching phase and the structural similarity matching phase. Since linguistic matching is an essential step for effective schema matching, developing a high accurate linguistic similarity matching scheme is required. In this paper, a schema matching approach called Similarity Yield Mat...

  8. A novel model-free approach for reconstruction of time-delayed gene regulatory networks

    Institute of Scientific and Technical Information of China (English)

    JIANG; Wei; LI; Xia; GUO; Zheng; LI; Chuanxing; WANG; Lihong

    2006-01-01

    Reconstruction of genetic networks is one of the key scientific challenges in functional genomics. This paper describes a novel approach for addressing the regulatory dependencies between genes whose activities can be delayed by multiple units of time. The aim of the proposed approach termed TdGRN (time-delayed gene regulatory networking) is to reversely engineer the dynamic mechanisms of gene regulations, which is realized by identifying the time-delayed gene regulations through supervised decision-tree analysis of the newly designed time-delayed gene expression matrix, derived from the original time-series microarray data. A permutation technique is used to determine the statistical classification threshold of a tree, from which a gene regulatory rule(s) is extracted. The proposed TdGRN is a model-free approach that attempts to learn the underlying regulatory rules without relying on any model assumptions. Compared with model-based approaches, it has several significant advantages: it requires neither any arbitrary threshold for discretization of gene transcriptional values nor the definition of the number of regulators (k). We have applied this novel method to the publicly available data for budding yeast cell cycling. The numerical results demonstrate that most of the identified time-delayed gene regulations have current biological knowledge supports.

  9. Approaches to diagnose DNA mismatch repair gene defects in cancer

    DEFF Research Database (Denmark)

    Peña-Diaz, Javier; Rasmussen, Lene Juel

    2016-01-01

    replicative polymerases and results in increased mutation load at the genome. The realization that defective MMR leads to a hypermutation phenotype and increased risk of tumorigenesis highlights the relevance of this pathway for human disease. The association of MMR defects with increased risk of cancer...... development was first observed in colorectal cancer patients that carried inactivating germline mutations in MMR genes and the disease was named as hereditary non-polyposis colorectal cancer (HNPCC). Currently, a growing list of cancers is found to be MMR defective and HNPCC has been renamed Lynch syndrome...... (LS) partly to include the associated risk of developing extra-colonic cancers. In addition, a number of non-hereditary, mostly epigenetic, alterations of MMR genes have been described in sporadic tumors. Besides conferring a strong cancer predisposition, genetic or epigenetic inactivation of MMR...

  10. Genetics of intracerebral hemorrhage: Insights from candidate gene approaches

    OpenAIRE

    Baoqiong Liu; Le Zhang; Qidong Yang

    2012-01-01

    Intracerebral hemorrhage (ICH) is a heterogeneous disease with genetic factors playing an important role. Association studies on a wide range of candidate pathways suggest a weak but significant effect for several alleles with ICH risk. Among the most widely investigated genes are those involved in the renin-angiotensin-aldosterone system (e.g., angiotensin-converting enzyme), coagulation pathway (e.g., Factor XIII, Factor VII, platelet-activating factor acetylhydrolase, Factor V Leiden, and ...

  11. Gene Therapy: A Potential Approach for Cancer Pain

    OpenAIRE

    Nicholas Boulis; Christina Krudy; Handy, Chalonda R.

    2011-01-01

    Chronic pain is experienced by as many as 9 0 % of cancer patients at some point during the disease. This pain can be directly cancer related or arise from a sensory neuropathy related to chemotherapy. Major pharmacological agents used to treat cancer pain often lack anatomical specificity and can have off-target effects that create new sources of suffering. These concerns establish a need for improved cancer pain management. Gene therapy is emerging as an exciting prospect. This paper discus...

  12. A cross-species bi-clustering approach to identifying conserved co-regulated genes

    Science.gov (United States)

    Sun, Jiangwen; Jiang, Zongliang; Tian, Xiuchun; Bi, Jinbo

    2016-01-01

    Motivation: A growing number of studies have explored the process of pre-implantation embryonic development of multiple mammalian species. However, the conservation and variation among different species in their developmental programming are poorly defined due to the lack of effective computational methods for detecting co-regularized genes that are conserved across species. The most sophisticated method to date for identifying conserved co-regulated genes is a two-step approach. This approach first identifies gene clusters for each species by a cluster analysis of gene expression data, and subsequently computes the overlaps of clusters identified from different species to reveal common subgroups. This approach is ineffective to deal with the noise in the expression data introduced by the complicated procedures in quantifying gene expression. Furthermore, due to the sequential nature of the approach, the gene clusters identified in the first step may have little overlap among different species in the second step, thus difficult to detect conserved co-regulated genes. Results: We propose a cross-species bi-clustering approach which first denoises the gene expression data of each species into a data matrix. The rows of the data matrices of different species represent the same set of genes that are characterized by their expression patterns over the developmental stages of each species as columns. A novel bi-clustering method is then developed to cluster genes into subgroups by a joint sparse rank-one factorization of all the data matrices. This method decomposes a data matrix into a product of a column vector and a row vector where the column vector is a consistent indicator across the matrices (species) to identify the same gene cluster and the row vector specifies for each species the developmental stages that the clustered genes co-regulate. Efficient optimization algorithm has been developed with convergence analysis. This approach was first validated on

  13. Gene-based Association Approach Identify Genes Across Stress Traits in Fruit Flies

    DEFF Research Database (Denmark)

    Rohde, Palle Duun; Edwards, Stefan McKinnon; Sarup, Pernille Merete; Sørensen, Peter

    Identification of genes explaining variation in quantitative traits or genetic risk factors of human diseases requires both good phenotypic- and genotypic data, but also efficient statistical methods. Genome-wide association studies may reveal association between phenotypic variation and variatio...

  14. Pattern recognition and string matching

    CERN Document Server

    Cheng, Xiuzhen

    2002-01-01

    The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica­ tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro­ vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes student...

  15. A flexible and economical barcoding approach for highly multiplexed amplicon sequencing of diverse target genes

    Directory of Open Access Journals (Sweden)

    Craig W. Herbold

    2015-07-01

    Full Text Available High throughput sequencing of phylogenetic and functional gene amplicons provides tremendous insight into the structure and functional potential of complex microbial communities. Here, we introduce a highly adaptable and economical PCR approach to barcoding and pooling libraries of numerous target genes. In this approach, we replace gene- and sequencing platform-specific fusion primers with general, interchangeable barcoding primers, enabling nearly limitless customized barcode-primer combinations. Compared to barcoding with long fusion primers, our multiple-target gene approach is more economical because it overall requires lower number of primers and is based on short primers with generally lower synthesis and purification costs. To highlight our approach, we pooled over 900 different small-subunit rRNA and functional gene amplicon libraries obtained from various environmental or host-associated microbial community samples into a single, paired-end Illumina MiSeq run. Although the amplicon regions ranged in size from approximately 290 to 720 bp, we found no significant systematic sequencing bias related to amplicon length or gene target. Our results indicate that this flexible multiplexing approach produces large, diverse and high quality sets of amplicon sequence data for modern studies in microbial ecology.

  16. Discovering potential cancer driver genes by an integrated network-based approach.

    Science.gov (United States)

    Shi, Kai; Gao, Lin; Wang, Bingbo

    2016-08-16

    Although a lot of methods have been proposed to identify driver genes, how to separate the driver mutations from the passenger mutations is still a challenging problem in cancer genomics. The detection of driver genes with rare mutation and low accuracy is unsolved better. In this study, we present an integrated network-based approach to locate potential driver genes in a cohort of patients. The approach is composed of two steps including a network diffusion step and an aggregated ranking step, which fuses the correlation between the gene mutations and gene expression, the relationship between the mutated genes and the heterogeneous characteristic of the patient mutation. We analyze three cancer datasets including Glioblastoma multiforme, Ovarian cancer and Breast cancer. Our method has not only identified the known driver genes with high-frequency mutations, but also discovered the potential driver genes with a rare mutation. At the same time, validation by literature search and functional enrichment analysis reveal that the predicted genes are obviously related to these three kinds of cancers. PMID:27426053

  17. Using the candidate gene approach for detecting genes underlying seed oil concentration and yield in soybean.

    Science.gov (United States)

    Eskandari, Mehrzad; Cober, Elroy R; Rajcan, Istvan

    2013-07-01

    Increasing the oil concentration in soybean seeds has been given more attention in recent years because of demand for both edible oil and biodiesel production. Oil concentration in soybean is a complex quantitative trait regulated by many genes as well as environmental conditions. To identify genes governing seed oil concentration in soybean, 16 putative candidate genes of three important gene families (GPAT: acyl-CoA:sn-glycerol-3-phosphate acyltransferase, DGAT: acyl-CoA:diacylglycerol acyltransferase, and PDAT: phospholipid:diacylglycerol acyltransferase) involved in triacylglycerol (TAG) biosynthesis pathways were selected and their sequences retrieved from the soybean database ( http://www.phytozome.net/soybean ). Three sequence mutations were discovered in either coding or noncoding regions of three DGAT soybean isoforms when comparing the parents of a 203 recombinant inbreed line (RIL) population; OAC Wallace and OAC Glencoe. The RIL population was used to study the effects of these mutations on seed oil concentration and other important agronomic and seed composition traits, including seed yield and protein concentration across three field locations in Ontario, Canada, in 2009 and 2010. An insertion/deletion (indel) mutation in the GmDGAT2B gene in OAC Wallace was significantly associated with reduced seed oil concentration across three environments and reduced seed yield at Woodstock in 2010. A mutation in the 3' untranslated (3'UTR) region of GmDGAT2C was associated with seed yield at Woodstock in 2009. A mutation in the intronic region of GmDGAR1B was associated with seed yield and protein concentration at Ottawa in 2010. The genes identified in this study had minor effects on either seed yield or oil concentration, which was in agreement with the quantitative nature of the traits. However, the novel gene-specific markers designed in the present study can be used in soybean breeding for marker-assisted selection aimed at increasing seed yield and oil

  18. Predicting sensation seeking from dopamine genes: A candidate system approach

    OpenAIRE

    Derringer, Jaime; Robert F Krueger; Dick, Danielle M; Saccone, Scott; Grucza, Richard A.; Agrawal, Arpana; Lin, Peng; Almasy, Laura; Edenberg, Howard J.; Foroud, Tatiana; Nurnberger, John I.; Hesselbrock, Victor M.; Kramer, John R.; Kuperman, Samuel; Porjesz, Bernice

    2010-01-01

    Sensation seeking is a heritable personality trait that has been reliably linked to behavior disorders. The dopamine system has been hypothesized to contribute to individual differences in sensation seeking, and both experimental and observational studies in humans and non-human animals provide evidence for this relationship. We present here a candidate-system approach to genetic association analysis of sensation seeking, in which single nucleotide polymorphisms (SNPs) from a number of dopami...

  19. Matching Two-dimensional Gel Electrophoresis' Spots

    DEFF Research Database (Denmark)

    Dos Anjos, António; AL-Tam, Faroq; Shahbazkia, Hamid Reza;

    2012-01-01

    This paper describes an approach for matching Two-Dimensional Electrophoresis (2-DE) gels' spots, involving the use of image registration. The number of false positive matches produced by the proposed approach is small, when compared to academic and commercial state-of-the-art approaches. This ar...

  20. Text analysis with sequence matching

    OpenAIRE

    Ferme, Marko; Ojsteršek, Milan

    2012-01-01

    This article describes some common problems faced in natural language processing. The main problem consist of a user given sentence, which has to be matched against an existing knowledge base, consisting of semantically described words or phrases. Some main problems in this process are outlined and the most common solutions used in natural language processing are overviewed. A sequence matching algorithm is introduced as an alternative solution and its advantages over the existing approaches ...

  1. A combinatorial bidirectional and bicistronic approach for coordinated multi-gene expression in corn.

    Science.gov (United States)

    Kumar, Sandeep; AlAbed, Diaa; Whitteck, John T; Chen, Wei; Bennett, Sara; Asberry, Andrew; Wang, Xiujuan; DeSloover, Daniel; Rangasamy, Murugesan; Wright, Terry R; Gupta, Manju

    2015-03-01

    Transgene stacking in trait development process through genetic engineering is becoming complex with increased number of desired traits and multiple modes of action for each trait. We demonstrate here a novel gene stacking strategy by combining bidirectional promoter (BDP) and bicistronic approaches to drive coordinated expression of multi-genes in corn. A unidirectional promoter, Ubiquitin-1 (ZMUbi1), from Zea mays was first converted into a synthetic BDP, such that a single promoter can direct the expression of two genes from each end of the promoter. The BDP system was then combined with a bicistronic organization of genes at both ends of the promoter by using a Thosea asigna virus 2A auto-cleaving domain. With this gene stacking configuration, we have successfully obtained expression in transgenic corn of four transgenes; three transgenes conferring insect (cry34Ab1 and cry35Ab1) and herbicide (aad1) resistance, and a phiyfp reporter gene using a single ZMUbi1 bidirectional promoter. Gene expression analyses of transgenic corn plants confirmed better coordinated expression of the four genes compared to constructs driving each gene by independent unidirectional ZmUbi1 promoter. To our knowledge, this is the first report that demonstrates application of a single promoter for co-regulation of multiple genes in a crop plant. This stacking technology would be useful for engineering metabolic pathways both for basic and applied research. PMID:25657118

  2. Automatic Tuning Matching Cycler (ATMC) in situ NMR spectroscopy as a novel approach for real-time investigations of Li- and Na-ion batteries

    Science.gov (United States)

    Pecher, Oliver; Bayley, Paul M.; Liu, Hao; Liu, Zigeng; Trease, Nicole M.; Grey, Clare P.

    2016-04-01

    We have developed and explored the use of a new Automatic Tuning Matching Cycler (ATMC) in situ NMR probe system to track the formation of intermediate phases and investigate electrolyte decomposition during electrochemical cycling of Li- and Na-ion batteries (LIBs and NIBs). The new approach addresses many of the issues arising during in situ NMR, e.g., significantly different shifts of the multi-component samples, changing sample conditions (such as the magnetic susceptibility and conductivity) during cycling, signal broadening due to paramagnetism as well as interferences between the NMR and external cycler circuit that might impair the experiments. We provide practical insight into how to conduct ATMC in situ NMR experiments and discuss applications of the methodology to LiFePO4 (LFP) and Na3V2(PO4)2F3 cathodes as well as Na metal anodes. Automatic frequency sweep 7Li in situ NMR reveals significant changes of the strongly paramagnetic broadened LFP line shape in agreement with the structural changes due to delithiation. Additionally, 31P in situ NMR shows a full separation of the electrolyte and cathode NMR signals and is a key feature for a deeper understanding of the processes occurring during charge/discharge on the local atomic scale of NMR. 31P in situ NMR with "on-the-fly" re-calibrated, varying carrier frequencies on Na3V2(PO4)2F3 as a cathode in a NIB enabled the detection of different P signals within a huge frequency range of 4000 ppm. The experiments show a significant shift and changes in the number as well as intensities of 31P signals during desodiation/sodiation of the cathode. The in situ experiments reveal changes of local P environments that in part have not been seen in ex situ NMR investigations. Furthermore, we applied ATMC 23Na in situ NMR on symmetrical Na-Na cells during galvanostatic plating. An automatic adjustment of the NMR carrier frequency during the in situ experiment ensured on-resonance conditions for the Na metal and

  3. Genetics of intracerebral hemorrhage: Insights from candidate gene approaches

    Directory of Open Access Journals (Sweden)

    Baoqiong Liu

    2012-01-01

    Full Text Available Intracerebral hemorrhage (ICH is a heterogeneous disease with genetic factors playing an important role. Association studies on a wide range of candidate pathways suggest a weak but significant effect for several alleles with ICH risk. Among the most widely investigated genes are those involved in the renin-angiotensin-aldosterone system (e.g., angiotensin-converting enzyme, coagulation pathway (e.g., Factor XIII, Factor VII, platelet-activating factor acetylhydrolase, Factor V Leiden, and beta1-tubulin, lipid metabolism (e.g., apolipoproteins (ApoE, Apo(a, ApoH, homocysteine metabolism (e.g., methylenetetrahydrofolate reductase, inflammation (e.g., interleukin-6 and tumor necrosis-alpha and other candidate pathways. To identify the robustness of the above associations with ICH, a search of Pubmed (1988 through December 2011 was performed, with searches limited to English-language studies conducted among adult human subjects. This article presents a review of the examined literature on the genetics of ICH.

  4. A virus-induced gene silencing approach to understanding alkaloid metabolism in Catharanthus roseus

    Science.gov (United States)

    Liscombe, David K.; O’Connor, Sarah E.

    2011-01-01

    The anticancer agents vinblastine and vincristine are bisindole alkaloids derived from coupling vindoline and catharanthine, monoterpenoid indole alkaloids produced exclusively by Madagascar periwinkle (Catharanthus roseus) plants. Industrial production of vinblastine and vincristine currently relies on isolation from C. roseus leaves, a process that affords these compounds in 0.0003–0.01% yields. Metabolic engineering efforts to improve alkaloid content or provide alternative sources of the bisindole alkaloids ultimately rely on the isolation and characterization of the genes involved. Several vindoline biosynthetic genes have been isolated, and the cellular and subcellular organization of the corresponding enzymes has been well studied. However, due to the leaf-specific localization of vindoline biosynthesis, and the lack of production of this precursor in cell suspension and hairy root cultures of C. roseus, further elucidation of this pathway demands the development of reverse genetics approaches to assay gene function in planta. The bipartite pTRV vector system is a Tobacco Rattle Virus-based virus-induced gene silencing (VIGS) platform that has provided efficient and effective means to assay gene function in diverse plant systems. We have developed a VIGS method to investigate gene function in C. roseus plants using the pTRV vector system. The utility of this approach in understanding gene function in C. roseus leaves is demonstrated by silencing known vindoline biosynthetic genes previously characterized in vitro. PMID:21802100

  5. Rule-based Construction of Matching Processes

    CERN Document Server

    Peukert, Eric; Rahm, Erhard

    2011-01-01

    Mapping complex metadata structures is crucial in a number of domains such as data integration, ontology alignment or model management. To speed up that process automatic matching systems were developed to compute mapping suggestions that can be corrected by a user. However, constructing and tuning match strategies still requires a high manual effort by matching experts as well as correct mappings to evaluate generated mappings. We therefore propose a self-configuring schema matching system that is able to automatically adapt to the given mapping problem at hand. Our approach is based on analyzing the input schemas as well as intermediate matching results. A variety of matching rules use the analysis results to automatically construct and adapt an underlying matching process for a given match task. We comprehensively evaluate our approach on different mapping problems from the schema, ontology and model management domains. The evaluation shows that our system is able to robustly return good quality mappings a...

  6. Using intron splicing trick for preferential gene expression in transduced cells: an approach for suicide gene therapy.

    Science.gov (United States)

    Pourzadegan, F; Shariati, L; Taghizadeh, R; Khanahmad, H; Mohammadi, Z; Tabatabaiefar, M A

    2016-01-01

    Suicide gene therapy is one of the most innovative approaches in which a potential toxic gene is delivered to the targeted cancer cell by different target delivery methods. We constructed a transfer vector to express green fluorescent protein (GFP) in transduced cells but not in packaging cells. We placed gfp under the control of the cytomegalovirus (CMV) promoter, which is positioned between the two long-terminal repeats in reverse direction. The intron-2 sequence of the human beta globin gene with two poly-A signals and several stop codons on the antisense strand was placed on the leading strand between the CMV promoter and gfp. For lentiviral production, the HEK293T and line were co-transfected with the PMD2G, psPAX2 and pLentiGFP-Ins2 plasmids. The HEK293T and line were transduced with this virus. PCR was performed for evaluation of intron splicing in transduced cells. The GFP expression was seen in 65% of the cells transduced. The PCR amplification of the genomic DNA of transduced cells confirmed the splicing of intron 2. The strategy is significant to accomplish our goal for preserving the packaging cells from the toxic gene expression during viral assembly and the resultant reduction in viral titration. Also it serves to address several other issues in the gene therapy. PMID:26679755

  7. A cross-species bi-clustering approach to identifying conserved co-regulated genes

    OpenAIRE

    Sun, Jiangwen; Jiang, Zongliang; Tian, Xiuchun; Bi, Jinbo

    2016-01-01

    Motivation: A growing number of studies have explored the process of pre-implantation embryonic development of multiple mammalian species. However, the conservation and variation among different species in their developmental programming are poorly defined due to the lack of effective computational methods for detecting co-regularized genes that are conserved across species. The most sophisticated method to date for identifying conserved co-regulated genes is a two-step approach. This approac...

  8. Yeast Phenomics: An Experimental Approach for Modeling Gene Interaction Networks that Buffer Disease

    Directory of Open Access Journals (Sweden)

    John L. Hartman

    2015-02-01

    Full Text Available The genome project increased appreciation of genetic complexity underlying disease phenotypes: many genes contribute each phenotype and each gene contributes multiple phenotypes. The aspiration of predicting common disease in individuals has evolved from seeking primary loci to marginal risk assignments based on many genes. Genetic interaction, defined as contributions to a phenotype that are dependent upon particular digenic allele combinations, could improve prediction of phenotype from complex genotype, but it is difficult to study in human populations. High throughput, systematic analysis of S. cerevisiae gene knockouts or knockdowns in the context of disease-relevant phenotypic perturbations provides a tractable experimental approach to derive gene interaction networks, in order to deduce by cross-species gene homology how phenotype is buffered against disease-risk genotypes. Yeast gene interaction network analysis to date has revealed biology more complex than previously imagined. This has motivated the development of more powerful yeast cell array phenotyping methods to globally model the role of gene interaction networks in modulating phenotypes (which we call yeast phenomic analysis. The article illustrates yeast phenomic technology, which is applied here to quantify gene X media interaction at higher resolution and supports use of a human-like media for future applications of yeast phenomics for modeling human disease.

  9. Linking Genes and Brain Development of Honeybee Workers: A Whole-Transcriptome Approach.

    Science.gov (United States)

    Vleurinck, Christina; Raub, Stephan; Sturgill, David; Oliver, Brian; Beye, Martin

    2016-01-01

    Honeybees live in complex societies whose capabilities far exceed those of the sum of their single members. This social synergism is achieved mainly by the worker bees, which form a female caste. The worker bees display diverse collaborative behaviors and engage in different behavioral tasks, which are controlled by the central nervous system (CNS). The development of the worker brain is determined by the female sex and the worker caste determination signal. Here, we report on genes that are controlled by sex or by caste during differentiation of the worker's pupal brain. We sequenced and compared transcriptomes from the pupal brains of honeybee workers, queens and drones. We detected 333 genes that are differently expressed and 519 genes that are differentially spliced between the sexes, and 1760 genes that are differentially expressed and 692 genes that are differentially spliced between castes. We further found that 403 genes are differentially regulated by both the sex and caste signals, providing evidence of the integration of both signals through differential gene regulation. In this gene set, we found that the molecular processes of restructuring the cell shape and cell-to-cell signaling are overrepresented. Our approach identified candidate genes that may be involved in brain differentiation that ensures the various social worker behaviors. PMID:27490820

  10. [Non-viral gene therapy approach for regenerative recovery of skin wounds in mammals].

    Science.gov (United States)

    Efremov, A M; Dukhovlinov, I V; Dizhe, E B; Burov, S V; Leko, M V; Akif'ev, B N; Mogilenko, D A; Ivanov, I A; Perevozchikov, A P; Orlov, S V

    2010-01-01

    The rate and character of skin tissue regeneration after wounds, burns and other traumas depend on the cell proliferation within damaged area. Acceleration of healing by stimulation of cell proliferation and extracellular matrix synthesis is one of the most important tasks of modern medicine. There are gene therapy approaches to wound treatment consisting in the transfer of genes encoding mitogenic growth factors to wound area. The most important step in the development of gene therapy approaches is the design of gene delivery tools. In spite of high efficacy of viral vectors, the non-viral means have some preferences (low toxicity, low immunogenity, safety and the absence of backside effects). Among non-viral gene delivery tools, molecular conjugates are the most popular because of their efficacy, simplicity, and the capacity to the targeted gene transfer. In the present work we have developed two molecular conjugates--NLS-TSF7 and NLS-TSF12 consisting of the modified signal of nuclear localization of T-antigen of SV40 virus (cationic part) and the peptide ligands of mammalian transferrin receptor (ligand part). These conjugates bind to plasmid DNA with formation of polyelectrolytic complexes and are capable to deliver plasmid DNA into cells expressing transferrin receptors by receptor-mediated endocytosis. Transfer of the expression vector of luciferase gene in the complex with molecular conjugate NLS-TSF7 to murine surface tissues led to about 100 fold increasing of luciferase activity in comparison with the transfer of free expression vector. Treatment of slash wounds in mice with the complexes of expression vector of synthetic human gene encoding insulin-like growth factor 1 with molecular conjugates NLS-TSF7 led to acceleration of healing in comparison with mice treated with free expression vector. The results obtained confirm the high efficiency of the developed regenerative gene therapy approach for the treatment of damaged skin tissues in mammals. PMID

  11. An IF-FISH Approach for Covisualization of Gene Loci and Nuclear Architecture in Fission Yeast.

    Science.gov (United States)

    Kim, K-D; Iwasaki, O; Noma, K

    2016-01-01

    Recent genomic studies have revealed that chromosomal structures are formed by a hierarchy of organizing processes ranging from gene associations, including interactions among enhancers and promoters, to topologically associating domain formations. Gene associations identified by these studies can be characterized by microscopic analyses. Fission yeast is a model organism, in which gene associations have been broadly mapped across the genome, although many of those associations have not been further examined by cell biological approaches. To address the technically challenging process of the visualization of associating gene loci in the fission yeast nuclei, we provide, in detail, an IF-FISH procedure that allows for covisualizing both gene loci and nuclear structural markers such as the nuclear membrane and nucleolus. PMID:27423862

  12. Biclustering of gene expression data: hybridization of GRASP with other heuristic/metaheuristic approaches

    OpenAIRE

    Musacchia, Francesco

    2013-01-01

    Researchers who work on large amount of data have to face vari- ous problems such as data mining and information retrieval: this is the case of gene expression. The general scope of these experiments is to find co-regulated genes, in order to understand the biologic pathways underlying a particular phenomenon. A clustering con- cept can be used to find out if co-regulated genes can be active only over some conditions. Recently, some biclustering approaches have been used to find groups of co-...

  13. Multiple Pattern Matching Algorithm using Pair-count

    Directory of Open Access Journals (Sweden)

    Raju Bhukya

    2011-07-01

    Full Text Available Pattern matching occurs in various applications, ranging from simple text searching in word processors to identification of common motifs in DNA sequences in computational biology. The problem of exact pattern matching has been well studied and a number of efficient algorithms already exist. However these exact pattern matching algorithms are of little help when they are applied to finding patterns in DNA sequences. Pattern matching in a DNA sequence or pattern searching from a large data base is a major research area in computational biology. To extract pattern from a large sequence it takes more time, in order to reduce searching time we have proposed an approach that reduces the search time with accurate retrieval of the matched pattern from the given sequence of any size of a file. Executing patterns from a large DNA or protein data is a computationally intensive task. As performance plays a major role in extracting patterns from a given DNA sequence or from a large database independent of the size of the sequence. More efficient approaches related to multiple pattern matching techniques are becoming more important for finding the functional as well as the structural properties of the proteins and genes. One of the major problems in genomic field is to perform pattern comparison on DNA and protein sequences. In the current approach we explore a new technique which avoids unnecessary comparisons in the DNA sequence and gives the accurate retrieval of the pattern called a multiple pattern matching algorithm using pair count. The proposed technique gives very good performance related to DNA sequence analysis for querying of publicly available genome sequence data. By using this method the number of comparisons gradually decreases and comparison per character ratio of the proposed algorithm reduces accordingly when compared to the some of the existing popular methods. The experimental results show that there is considerable amount of performance

  14. A multiprong approach to cancer gene therapy by coencapsulated cells.

    Science.gov (United States)

    Cirone, Pasquale; Shen, Feng; Chang, Patricia L

    2005-04-01

    Immune-isolation of nonautologous cells with microencapsulation protects these cells from graft rejection, thus allowing the same recombinant therapeutic cell line to be implanted in different recipients. This approach was successful in treating HER2/neu-expressing tumors in mice by delivering an interleukin-2 fusion protein (sFvIL-2), or angiostatin. However, treatment with interleukin-2 led to profuse inflammation, while angiostatin delivery did not result in long-term tumor suppression, in part due to endothelial cell-independent neovascularization (vascular mimicry). We hypothesize that coencapsulating the two producer cells in the same microcapsules may enhance the efficacy and ameliorate the above side effects. Hence, B16-F0/neu tumor-bearing mice were implanted with sFvIL-2- and angiostatin-secreting cells coencapsulated in the same alginate-poly-L-lysine-alginate microcapsules. However, this protocol only produced an incremental but not synergistic improvement, as measured with greater tumor suppression and improved survival. Compared to the single sFvIL-2 treatment, the coencapsulation protocol showed improved efficacy associated with: mobilization of sFvIL-2 from the spleen; a higher level of cytokine delivery systemically and to the tumors; increased tumor and tumor-associated endothelial cell apoptosis; and a reduced host inflammatory response. However, compared to the single angiostatin treatment, the efficacy was reduced, primarily due to a "bystander" effect in which the angiostatin-secreting cells suffered similar transgene silencing as the coencapsulated cytokine-secreting cells. Nevertheless, the level of "vascular mimicry" of the single angiostatin treatment was significantly reduced. Hence, while there was no synergy in efficacy, an incremental improvement and some reduction in undesirable side effects of inflammation and vascular mimicry were achieved over the single treatments. PMID:15692610

  15. Bayesian forecasting of temporal gene expression by using an autoregressive panel data approach.

    Science.gov (United States)

    Nascimento, M; E Silva, F F; Sáfadi, T; Nascimento, A C C; Barroso, L M A; Glória, L S; de S Carvalho, B

    2016-01-01

    We propose and evaluate a novel approach for forecasting gene expression over non-observed times in longitudinal trials under a Bayesian viewpoint. One of the aims is to cluster genes that share similar expression patterns over time and then use this similarity to predict relative expression at time points of interest. Expression values of 106 genes expressed during the cell cycle of Saccharomyces cerevisiae were used and genes were partitioned into five distinct clusters of sizes 33, 32, 21, 16, and 4. After removing the last observed time point, the agreements of signals (upregulated or downregulated) considering the predicted expression level were 72.7, 81.3, 76.2, 68.8, and 50.0%, respectively, for each cluster. The percentage of credibility intervals that contained the true values of gene expression for a future time was ~90%. The methodology performed well, providing a valid forecast of gene expression values by fitting an autoregressive panel data model. This approach is easily implemented with other time-series models and when Poisson and negative binomial probability distributions are assumed for the gene expression data. PMID:27323205

  16. Gene expression in subcutaneous adipose tissue differs in women with polycystic ovary syndrome and controls matched pair-wise for age, body weight, and body mass index

    OpenAIRE

    Mannerås-Holm, Louise; Benrick, Anna; Stener-Victorin, Elisabet

    2014-01-01

    Adipose tissue dysfunction may be a central factor in the pathogenesis of insulin resistance in women with polycystic ovary syndrome (PCOS). Gene expression in subcutaneous adipose tissue in PCOS and its relation to metabolic and endocrine features of the syndrome have been fragmentarily investigated. The aim was to assess in subcutaneous adipose tissue the expression of genes potentially associated with adipose tissue dysfunction and to explore their relation to features of the syndrome. Twe...

  17. Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi

    Directory of Open Access Journals (Sweden)

    Ralph A Cacho

    2015-01-01

    Full Text Available Genomics has revolutionized the research on fungal secondary metabolite biosynthesis. To elucidate the molecular and enzymatic mechanisms underlying the biosynthesis of a specific secondary metabolite compound, the important first step is often to find the genes that responsible for its synthesis. The accessibility to fungal genome sequences allows the bypass of the cumbersome traditional library construction and screening approach. The advance in next-generation sequencing (NGS technologies have further improved the speed and reduced the cost of microbial genome sequencing in the past few years, which has accelerated the research in this field. Here, we will present an example work flow for identifying the gene cluster encoding the biosynthesis of secondary metabolites of interest using an NGS approach. We will also review the different strategies that can be employed to pinpoint the targeted gene clusters rapidly by giving several examples stemming from our work.

  18. Systems approaches to unraveling plant metabolism: identifying biosynthetic genes of secondary metabolic pathways.

    Science.gov (United States)

    Spiering, Martin J; Kaur, Bhavneet; Parsons, James F; Eisenstein, Edward

    2014-01-01

    The diversity of useful compounds produced by plant secondary metabolism has stimulated broad systems biology approaches to identify the genes involved in their biosynthesis. Systems biology studies in non-model plants pose interesting but addressable challenges, and have been greatly facilitated by the ability to grow and maintain plants, develop laboratory culture systems, and profile key metabolites in order to identify critical genes involved their biosynthesis. In this chapter we describe a suite of approaches that have been useful in Actaea racemosa (L.; syn. Cimicifuga racemosa, Nutt., black coshosh), a non-model medicinal plant with no genome sequence and little horticultural information available, that have led to the development of initial gene-metabolite relationships for the production of several bioactive metabolites in this multicomponent botanical therapeutic, and that can be readily applied to a wide variety of under-characterized medicinal plants. PMID:24218220

  19. Characterization of denitrification gene clusters of soil bacteria via a metagenomic approach

    OpenAIRE

    Demanèche, Sandrine; Philippot, Laurent; David, Maude M.; Navarro, Elisabeth; Vogel, Timothy,; Simonet, Pascal

    2009-01-01

    We characterized operons encoding enzymes involved in denitrification, a nitrogen-cycling process involved in nitrogen losses and greenhouse gas emission, using a metagenomic approach which combines molecular screening and pyrosequencing. Screening of 77,000 clones from a soil metagenomic library led to the identification and the subsequent characterization of nine denitrification gene clusters.

  20. Determination of the Ultimate Limit States of Shallow Foundations using Gene Expression Programming (GEP) Approach

    DEFF Research Database (Denmark)

    Tahmasebi poor, A; Barari, Amin; Behnia, M;

    2015-01-01

    In this study, a gene expression programming (GEP) approach was employed to develop modified expressions for predicting the bearing capacity of shallow foundations founded on granular material. The model was validate against the results of load tests on full-scale and model footings obtained from...

  1. A set-covering approach to specific search for literature about human genes.

    Science.gov (United States)

    Jenssen, T K; Vinterbo, S

    2000-01-01

    With the advent of the cDNA microarray and oligonucleotide array technologies it has become possible to study a large number of genes in a single experiment. While experiments with thousands of genes are routinely performed, searching for literature about several genes by traditional methods is time consuming and error-prone. In addition to the inherent limitations of free text search, use of the conventional Boolean operators often result in either none (when AND'ing terms) or far too many (when OR'ing terms) hits. We have created a two-step procedure as an approach to meeting the challenge of multi-gene queries. Our results so far shows that the returned sets of articles scores high on relevance. PMID:11079910

  2. Prospecting for Genes involved in transcriptional regulation of plant defenses, a bioinformatics approach

    Directory of Open Access Journals (Sweden)

    Bol John F

    2011-05-01

    Full Text Available Abstract Background In order to comprehend the mechanisms of induced plant defense, knowledge of the biosynthesis and signaling pathways mediated by salicylic acid (SA, jasmonic acid (JA and ethylene (ET is essential. Potentially, many transcription factors could be involved in the regulation of these pathways, although finding them is a difficult endeavor. Here we report the use of publicly available Arabidopsis microarray datasets to generate gene co-expression networks. Results Using 372 publicly available microarray data sets, a network was constructed in which Arabidopsis genes for known components of SA, JA and ET pathways together with the genes of over 1400 transcription factors were assayed for co-expression. After determining the Pearson Correlation Coefficient cutoff to obtain the most probable biologically relevant co-expressed genes, the resulting network confirmed the presence of many genes previously reported in literature to be relevant for stress responses and connections that fit current models of stress gene regulation, indicating the potential of our approach. In addition, the derived network suggested new candidate genes and associations that are potentially interesting for future research to further unravel their involvement in responses to stress. Conclusions In this study large sets of stress related microarrays were used to reveal co-expression networks of transcription factors and signaling pathway components. These networks will benefit further characterization of the signal transduction pathways involved in plant defense.

  3. Navigating the complex path between the oxytocin receptor gene (OXTR and cooperation: an endophenotype approach

    Directory of Open Access Journals (Sweden)

    Brian W. Haas

    2013-11-01

    Full Text Available Although cooperation represents a core facet of human social behavior there exists considerable variability across people in terms of the tendency to cooperate. One factor that may contribute to individual differences in cooperation is a key gene within the oxytocin system, the oxytocin reception gene (OXTR. In this article, we aim to bridge the gap between the OXTR gene and cooperation by using an endophenotype approach. We present evidence that the association between the OXTR gene and cooperation may in part be due to how the OXTR gene affects brain systems involved in emotion recognition, empathy/theory of mind, social communication and social reward seeking. There is evidence that the OXTR gene may influence the functional anatomy of the amygdala, visual cortex, anterior cingulate and superior temporal gyrus. However, it is currently unknown how the OXTR gene may be linked to the functional anatomy of other relevant brain regions that include the fusiform gyrus, superior temporal sulcus, ventromedial prefrontal cortex, temporoparietal junction and nucleus accumbens. We conclude by highlighting potential future research directions that may elucidate the path between OXTR and complex behaviors such as cooperation.

  4. Discovering and understanding oncogenic gene fusions through data intensive computational approaches.

    Science.gov (United States)

    Latysheva, Natasha S; Babu, M Madan

    2016-06-01

    Although gene fusions have been recognized as important drivers of cancer for decades, our understanding of the prevalence and function of gene fusions has been revolutionized by the rise of next-generation sequencing, advances in bioinformatics theory and an increasing capacity for large-scale computational biology. The computational work on gene fusions has been vastly diverse, and the present state of the literature is fragmented. It will be fruitful to merge three camps of gene fusion bioinformatics that appear to rarely cross over: (i) data-intensive computational work characterizing the molecular biology of gene fusions; (ii) development research on fusion detection tools, candidate fusion prioritization algorithms and dedicated fusion databases and (iii) clinical research that seeks to either therapeutically target fusion transcripts and proteins or leverages advances in detection tools to perform large-scale surveys of gene fusion landscapes in specific cancer types. In this review, we unify these different-yet highly complementary and symbiotic-approaches with the view that increased synergy will catalyze advancements in gene fusion identification, characterization and significance evaluation. PMID:27105842

  5. A robust approach based on Weibull distribution for clustering gene expression data

    Directory of Open Access Journals (Sweden)

    Gong Binsheng

    2011-05-01

    Full Text Available Abstract Background Clustering is a widely used technique for analysis of gene expression data. Most clustering methods group genes based on the distances, while few methods group genes according to the similarities of the distributions of the gene expression levels. Furthermore, as the biological annotation resources accumulated, an increasing number of genes have been annotated into functional categories. As a result, evaluating the performance of clustering methods in terms of the functional consistency of the resulting clusters is of great interest. Results In this paper, we proposed the WDCM (Weibull Distribution-based Clustering Method, a robust approach for clustering gene expression data, in which the gene expressions of individual genes are considered as the random variables following unique Weibull distributions. Our WDCM is based on the concept that the genes with similar expression profiles have similar distribution parameters, and thus the genes are clustered via the Weibull distribution parameters. We used the WDCM to cluster three cancer gene expression data sets from the lung cancer, B-cell follicular lymphoma and bladder carcinoma and obtained well-clustered results. We compared the performance of WDCM with k-means and Self Organizing Map (SOM using functional annotation information given by the Gene Ontology (GO. The results showed that the functional annotation ratios of WDCM are higher than those of the other methods. We also utilized the external measure Adjusted Rand Index to validate the performance of the WDCM. The comparative results demonstrate that the WDCM provides the better clustering performance compared to k-means and SOM algorithms. The merit of the proposed WDCM is that it can be applied to cluster incomplete gene expression data without imputing the missing values. Moreover, the robustness of WDCM is also evaluated on the incomplete data sets. Conclusions The results demonstrate that our WDCM produces clusters

  6. A bracket approach to improve the stability and gas sorption performance of a metal-organic framework via in situ incorporating the size-matching molecular building blocks.

    Science.gov (United States)

    Chen, Di-Ming; Tian, Jia-Yue; Liu, Chun-Sen; Du, Miao

    2016-06-28

    Incorporating the in situ formed size-matching molecular building blocks (MBBs) into the open channels will remarkably improve the robustness and gas sorption performance of an evacuated metal-organic framework. As a result, such MBBs can transfer the open metal sites from the framework walls to the channel centers and separate the large channels into multiple smaller voids, leading to a molecular sieving effect and high-performance gas-separation of the modified material. PMID:27301546

  7. Stinging Insect Matching Game

    Science.gov (United States)

    ... for Kids ▸ Stinging Insect Matching Game Share | Stinging Insect Matching Game Stinging insects can ruin summer fun for those who are ... the difference between the different kinds of stinging insects in order to keep your summer safe and ...

  8. Statistics of polarisation matching

    NARCIS (Netherlands)

    Naus, H.W.L.; Zwamborn, A.P.M.

    2014-01-01

    The reception of electromagnetic signals depends on the polarisation matching of the transmitting and receiving antenna. The practical matching differs from the theoretical one because of the noise deterioration of the transmitted and eventually received electromagnetic field. In other applications,

  9. Structural Weights in Ontology Matching

    Directory of Open Access Journals (Sweden)

    Mohammad Mehdi Keikha

    2013-10-01

    Full Text Available Ontology matching finds correspondences between similar entities of different ontologies. Two ontologies may be similar in some aspects such as structure, semantic etc. Most ontology matching systems integrate multiple matchers to extract all the similarities that two ontologies may have. Thus, we face a major problem to aggregate different similarities.Some matching systems use experimental weights for aggregation of similarities among different matchers while others use machine learning approaches and optimization algorithms to find optimal weights to assign to different matchers. However, both approaches have their own deficiencies.In this paper, we will point out the problems and shortcomings of current similarity aggregation strategies. Then, we propose a new strategy, which enables us to utilize the structural information of ontologies to get weights of matchers, for the similarity aggregation task. For achieving this goal, we create a new Ontology Matching system which it uses three available matchers, namely GMO, ISub and VDoc.We have tested our similarity aggregation strategy on the OAEI 2012 data set. Experimental results show significant improvements in accuracies of several cases, especially in matching the classes of ontologies. We will compare the performance of our similarity aggregation strategy with other well-known strategies.

  10. Semi-Global Matching in Object Space

    Science.gov (United States)

    Bethmann, F.; Luhmann, T.

    2015-03-01

    Semi-Global Matching (SGM) is a widespread algorithm for image matching which is used for very different applications, ranging from real-time applications (e.g. for generating 3D data for driver assistance systems) to aerial image matching. Originally developed for stereo-image matching, several extensions have been proposed to use more than two images within the matching process (multi-baseline matching, multi-view stereo). These extensions still perform the image matching in (rectified) stereo images and combine the pairwise results afterwards to create the final solution. This paper proposes an alternative approach which is suitable for the introduction of an arbitrary number of images into the matching process and utilizes image matching by using non-rectified images. The new method differs from the original SGM method mainly in two aspects: Firstly, the cost calculation is formulated in object space within a dense voxel raster by using the grey (or colour) values of all images instead of pairwise cost calculation in image space. Secondly, the semi-global (path-wise) minimization process is transferred into object space as well, so that the result of semi-global optimization leads to index maps (instead of disparity maps) which directly indicate the 3D positions of the best matches. Altogether, this yields to an essential simplification of the matching process compared to multi-view stereo (MVS) approaches. After a description of the new method, results achieved from two different datasets (close-range and aerial) are presented and discussed.

  11. Gene prediction in metagenomic fragments: A large scale machine learning approach

    Directory of Open Access Journals (Sweden)

    Morgenstern Burkhard

    2008-04-01

    Full Text Available Abstract Background Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. The amount of metagenomic sequence data is growing fast while computational methods for metagenome analysis are still in their infancy. In contrast to genomic sequences of single species, which can usually be assembled and analyzed by many available methods, a large proportion of metagenome data remains as unassembled anonymous sequencing reads. One of the aims of all metagenomic sequencing projects is the identification of novel genes. Short length, for example, Sanger sequencing yields on average 700 bp fragments, and unknown phylogenetic origin of most fragments require approaches to gene prediction that are different from the currently available methods for genomes of single species. In particular, the large size of metagenomic samples requires fast and accurate methods with small numbers of false positive predictions. Results We introduce a novel gene prediction algorithm for metagenomic fragments based on a two-stage machine learning approach. In the first stage, we use linear discriminants for monocodon usage, dicodon usage and translation initiation sites to extract features from DNA sequences. In the second stage, an artificial neural network combines these features with open reading frame length and fragment GC-content to compute the probability that this open reading frame encodes a protein. This probability is used for the classification and scoring of gene candidates. With large scale training, our method provides fast single fragment predictions with good sensitivity and specificity on artificially fragmented genomic DNA. Additionally, this method is able to predict translation initiation sites accurately and distinguishes complete from incomplete genes with high reliability. Conclusion Large scale machine learning methods are well-suited for gene

  12. Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.

    Science.gov (United States)

    Himmelstein, Daniel S; Baranzini, Sergio E

    2015-07-01

    The first decade of Genome Wide Association Studies (GWAS) has uncovered a wealth of disease-associated variants. Two important derivations will be the translation of this information into a multiscale understanding of pathogenic variants and leveraging existing data to increase the power of existing and future studies through prioritization. We explore edge prediction on heterogeneous networks--graphs with multiple node and edge types--for accomplishing both tasks. First we constructed a network with 18 node types--genes, diseases, tissues, pathophysiologies, and 14 MSigDB (molecular signatures database) collections--and 19 edge types from high-throughput publicly-available resources. From this network composed of 40,343 nodes and 1,608,168 edges, we extracted features that describe the topology between specific genes and diseases. Next, we trained a model from GWAS associations and predicted the probability of association between each protein-coding gene and each of 29 well-studied complex diseases. The model, which achieved 132-fold enrichment in precision at 10% recall, outperformed any individual domain, highlighting the benefit of integrative approaches. We identified pleiotropy, transcriptional signatures of perturbations, pathways, and protein interactions as influential mechanisms explaining pathogenesis. Our method successfully predicted the results (with AUROC = 0.79) from a withheld multiple sclerosis (MS) GWAS despite starting with only 13 previously associated genes. Finally, we combined our network predictions with statistical evidence of association to propose four novel MS genes, three of which (JAK2, REL, RUNX3) validated on the masked GWAS. Furthermore, our predictions provide biological support highlighting REL as the causal gene within its gene-rich locus. Users can browse all predictions online (http://het.io). Heterogeneous network edge prediction effectively prioritized genetic associations and provides a powerful new approach for data

  13. Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.

    Directory of Open Access Journals (Sweden)

    Daniel S Himmelstein

    2015-07-01

    Full Text Available The first decade of Genome Wide Association Studies (GWAS has uncovered a wealth of disease-associated variants. Two important derivations will be the translation of this information into a multiscale understanding of pathogenic variants and leveraging existing data to increase the power of existing and future studies through prioritization. We explore edge prediction on heterogeneous networks--graphs with multiple node and edge types--for accomplishing both tasks. First we constructed a network with 18 node types--genes, diseases, tissues, pathophysiologies, and 14 MSigDB (molecular signatures database collections--and 19 edge types from high-throughput publicly-available resources. From this network composed of 40,343 nodes and 1,608,168 edges, we extracted features that describe the topology between specific genes and diseases. Next, we trained a model from GWAS associations and predicted the probability of association between each protein-coding gene and each of 29 well-studied complex diseases. The model, which achieved 132-fold enrichment in precision at 10% recall, outperformed any individual domain, highlighting the benefit of integrative approaches. We identified pleiotropy, transcriptional signatures of perturbations, pathways, and protein interactions as influential mechanisms explaining pathogenesis. Our method successfully predicted the results (with AUROC = 0.79 from a withheld multiple sclerosis (MS GWAS despite starting with only 13 previously associated genes. Finally, we combined our network predictions with statistical evidence of association to propose four novel MS genes, three of which (JAK2, REL, RUNX3 validated on the masked GWAS. Furthermore, our predictions provide biological support highlighting REL as the causal gene within its gene-rich locus. Users can browse all predictions online (http://het.io. Heterogeneous network edge prediction effectively prioritized genetic associations and provides a powerful new approach

  14. Network-Based Enriched Gene Subnetwork Identification: A Game-Theoretic Approach

    Science.gov (United States)

    Razi, Abolfazl; Afghah, Fatemeh; Singh, Salendra; Varadan, Vinay

    2016-01-01

    Identifying subsets of genes that jointly mediate cancer etiology, progression, or therapy response remains a challenging problem due to the complexity and heterogeneity in cancer biology, a problem further exacerbated by the relatively small number of cancer samples profiled as compared with the sheer number of potential molecular factors involved. Pure data-driven methods that merely rely on multiomics data have been successful in discovering potentially functional genes but suffer from high false-positive rates and tend to report subsets of genes whose biological interrelationships are unclear. Recently, integrative data-driven models have been developed to integrate multiomics data with signaling pathway networks in order to identify pathways associated with clinical or biological phenotypes. However, these approaches suffer from an important drawback of being restricted to previously discovered pathway structures and miss novel genomic interactions as well as potential crosstalk among the pathways. In this article, we propose a novel coalition-based game-theoretic approach to overcome the challenge of identifying biologically relevant gene subnetworks associated with disease phenotypes. The algorithm starts from a set of seed genes and traverses a protein–protein interaction network to identify modulated subnetworks. The optimal set of modulated subnetworks is identified using Shapley value that accounts for both individual and collective utility of the subnetwork of genes. The algorithm is applied to two illustrative applications, including the identification of subnetworks associated with (i) disease progression risk in response to platinum-based therapy in ovarian cancer and (ii) immune infiltration in triple-negative breast cancer. The results demonstrate an improved predictive power of the proposed method when compared with state-of-the-art feature selection methods, with the added advantage of identifying novel potentially functional gene subnetworks

  15. Pollen Sterility—A Promising Approach to Gene Confinement and Breeding for Genetically Modified Bioenergy Crops

    Directory of Open Access Journals (Sweden)

    Albert P. Kausch

    2012-10-01

    Full Text Available Advanced genetic and biotechnology tools will be required to realize the full potential of food and bioenergy crops. Given current regulatory concerns, many transgenic traits might never be deregulated for commercial release without a robust gene confinement strategy in place. The potential for transgene flow from genetically modified (GM crops is widely known. Pollen-mediated transfer is a major component of gene flow in flowering plants and therefore a potential avenue for the escape of transgenes from GM crops. One approach for preventing and/or mitigating transgene flow is the production of trait linked pollen sterility. To evaluate the feasibility of generating pollen sterility lines for gene confinement and breeding purposes we tested the utility of a promoter (Zm13Pro from a maize pollen-specific gene (Zm13 for driving expression of the reporter gene GUS and the cytotoxic gene barnase in transgenic rice (Oryza sativa ssp. Japonica cv. Nipponbare as a monocot proxy for bioenergy grasses. This study demonstrates that the Zm13 promoter can drive pollen-specific expression in stably transformed rice and may be useful for gametophytic transgene confinement and breeding strategies by pollen sterility in food and bioenergy crops.

  16. A systematic approach to mapping recessive disease genes in individuals from outbred populations.

    Directory of Open Access Journals (Sweden)

    Friedhelm Hildebrandt

    2009-01-01

    Full Text Available The identification of recessive disease-causing genes by homozygosity mapping is often restricted by lack of suitable consanguineous families. To overcome these limitations, we apply homozygosity mapping to single affected individuals from outbred populations. In 72 individuals of 54 kindred ascertained worldwide with known homozygous mutations in 13 different recessive disease genes, we performed total genome homozygosity mapping using 250,000 SNP arrays. Likelihood ratio Z-scores (ZLR were plotted across the genome to detect ZLR peaks that reflect segments of homozygosity by descent, which may harbor the mutated gene. In 93% of cases, the causative gene was positioned within a consistent ZLR peak of homozygosity. The number of peaks reflected the degree of inbreeding. We demonstrate that disease-causing homozygous mutations can be detected in single cases from outbred populations within a single ZLR peak of homozygosity as short as 2 Mb, containing an average of only 16 candidate genes. As many specialty clinics have access to cohorts of individuals from outbred populations, and as our approach will result in smaller genetic candidate regions, the new strategy of homozygosity mapping in single outbred individuals will strongly accelerate the discovery of novel recessive disease genes.

  17. A transgenic approach to controlling wheat seed dormancy level by using Triticeae DOG1-like genes.

    Science.gov (United States)

    Ashikawa, Ikuo; Mori, Masahiko; Nakamura, Shingo; Abe, Fumitaka

    2014-08-01

    Seed dormancy is an important agronomic trait: low levels can cause premature germination, while too much can inhibit uniform germination. As an approach to controlling the seed dormancy level in crops, we used Triticeae DOG1-like genes as transgenes. DOG1 is an Arabidopsis gene that underlies natural variation in seed dormancy. We previously showed that although their sequence similarities to DOG1 were low, some cereal DOG1-like genes enhanced seed dormancy in Arabidopsis. Here, we introduced two DOG1-like genes, TaDOG1L4 from wheat and HvDOG1L1 from barley, individually into the wheat cultivar Fielder. Their overexpression under the control of a maize ubiquitin promoter enhanced the seed dormancy level while leaving other traits unchanged. TaDOG1L4 was more effective than HvDOG1L1, which accords with the previously revealed difference in the effectiveness of these two genes in Arabidopsis seed dormancy. Knockdown of endogenous TaDOG1L4 in Fielder using double-strand RNA interference decreased the seed dormancy level by several tens of percent. This result indicates that some degree of seed dormancy inherent in wheat is imparted by DOG1-like genes. PMID:24752830

  18. System Review about Function Role of ESCC Driver Gene KDM6A by Network Biology Approach.

    Science.gov (United States)

    Ran, Jihua; Li, Hui; Li, Huiwu

    2016-01-01

    Background. KDM6A (Lysine (K)-Specific Demethylase 6A) is the driver gene related to esophageal squamous cell carcinoma (ESCC). In order to provide more biological insights into KDM6A, in this paper, we treat PPI (protein-protein interaction) network derived from KDM6A as a conceptual framework and follow it to review its biological function. Method. We constructed a PPI network with Cytoscape software and performed clustering of network with Clust&See. Then, we evaluate the pathways, which are statistically involved in the network derived from KDM6A. Lastly, gene ontology analysis of clusters of genes in the network was conducted. Result. The network includes three clusters that consist of 74 nodes connected via 453 edges. Fifty-five pathways are statistically involved in the network and most of them are functionally related to the processes of cell cycle, gene expression, and carcinogenesis. The biology themes of clusters 1, 2, and 3 are chromatin modification, regulation of gene expression by transcription factor complex, and control of cell cycle, respectively. Conclusion. The PPI network presents a panoramic view which can facilitate for us to understand the function role of KDM6A. It is a helpful way by network approach to perform system review on a certain gene. PMID:27294188

  19. An improved systematic approach to predicting transcription factor target genes using support vector machine.

    Directory of Open Access Journals (Sweden)

    Song Cui

    Full Text Available Biological prediction of transcription factor binding sites and their corresponding transcription factor target genes (TFTGs makes great contribution to understanding the gene regulatory networks. However, these approaches are based on laborious and time-consuming biological experiments. Numerous computational approaches have shown great potential to circumvent laborious biological methods. However, the majority of these algorithms provide limited performances and fail to consider the structural property of the datasets. We proposed a refined systematic computational approach for predicting TFTGs. Based on previous work done on identifying auxin response factor target genes from Arabidopsis thaliana co-expression data, we adopted a novel reverse-complementary distance-sensitive n-gram profile algorithm. This algorithm converts each upstream sub-sequence into a high-dimensional vector data point and transforms the prediction task into a classification problem using support vector machine-based classifier. Our approach showed significant improvement compared to other computational methods based on the area under curve value of the receiver operating characteristic curve using 10-fold cross validation. In addition, in the light of the highly skewed structure of the dataset, we also evaluated other metrics and their associated curves, such as precision-recall curves and cost curves, which provided highly satisfactory results.

  20. Gene duplication and the origins of morphological complexity in pancrustacean eyes, a genomic approach

    Directory of Open Access Journals (Sweden)

    Serb Jeanne M

    2010-04-01

    Full Text Available Abstract Background Duplication and divergence of genes and genetic networks is hypothesized to be a major driver of the evolution of complexity and novel features. Here, we examine the history of genes and genetic networks in the context of eye evolution by using new approaches to understand patterns of gene duplication during the evolution of metazoan genomes. We hypothesize that 1 genes involved in eye development and phototransduction have duplicated and are retained at higher rates in animal clades that possess more distinct types of optical design; and 2 genes with functional relationships were duplicated and lost together, thereby preserving genetic networks. To test these hypotheses, we examine the rates and patterns of gene duplication and loss evident in 19 metazoan genomes, including that of Daphnia pulex - the first completely sequenced crustacean genome. This is of particular interest because the pancrustaceans (hexapods+crustaceans have more optical designs than any other major clade of animals, allowing us to test specifically whether the high amount of disparity in pancrustacean eyes is correlated with a higher rate of duplication and retention of vision genes. Results Using protein predictions from 19 metazoan whole-genome projects, we found all members of 23 gene families known to be involved in eye development or phototransduction and deduced their phylogenetic relationships. This allowed us to estimate the number and timing of gene duplication and loss events in these gene families during animal evolution. When comparing duplication/retention rates of these genes, we found that the rate was significantly higher in pancrustaceans than in either vertebrates or non-pancrustacean protostomes. Comparing patterns of co-duplication across Metazoa showed that while these eye-genes co-duplicate at a significantly higher rate than those within a randomly shuffled matrix, many genes with known functional relationships in model organisms

  1. Candidate gene linkage approach to identify DNA variants that predispose to preterm birth

    DEFF Research Database (Denmark)

    Bream, Elise N A; Leppellere, Cara R; Cooper, Margaret E;

    2013-01-01

    Background:The aim of this study was to identify genetic variants contributing to preterm birth (PTB) using a linkage candidate gene approach.Methods:We studied 99 single-nucleotide polymorphisms (SNPs) for 33 genes in 257 families with PTBs segregating. Nonparametric and parametric analyses were...... used. Premature infants and mothers of premature infants were defined as affected cases in independent analyses.Results:Analyses with the infant as the case identified two genes with evidence of linkage: CRHR1 (P = 0.0012) and CYP2E1 (P = 0.0011). Analyses with the mother as the case identified four...... through the infant and/or the mother in the etiology of PTB....

  2. An integrative systems genetics approach reveals potential causal genes and pathways related to obesity

    DEFF Research Database (Denmark)

    Kogelman, Lisette; Zhernakova, Daria V.; Westra, Harm-Jan; Cirera Salicio, Susanna; Fredholm, Merete; Franke, Lude; Kadarmideen, Haja

    2015-01-01

    BACKGROUND: Obesity is a multi-factorial health problem in which genetic factors play an important role. Limited results have been obtained in single-gene studies using either genomic or transcriptomic data. RNA sequencing technology has shown its potential in gaining accurate knowledge about the...... porcine model to investigate the mechanisms involved in obesity using a systems genetics approach. METHODS: Using a selective gene expression profiling approach, we selected 36 animals based on a previously created genomic Obesity Index for RNA sequencing of subcutaneous adipose tissue. Differential...... expression analysis was performed using the Obesity Index as a continuous variable in a linear model. eQTL mapping was then performed to integrate 60 K porcine SNP chip data with the RNA sequencing data. Results were restricted based on genome-wide significant single nucleotide polymorphisms, detected...

  3. Fingerprint matching algorithm for poor quality images

    OpenAIRE

    Vedpal Singh; Irraivan Elamvazuthi

    2015-01-01

    The main aim of this study is to establish an efficient platform for fingerprint matching for low-quality images. Generally, fingerprint matching approaches use the minutiae points for authentication. However, it is not such a reliable authentication method for low-quality images. To overcome this problem, the current study proposes a fingerprint matching methodology based on normalised cross-correlation, which would improve the performance and reduce the miscalculations during authentication...

  4. An Approach for Treating the Hepatobiliary Disease of Cystic Fibrosis by Somatic Gene Transfer

    Science.gov (United States)

    Yang, Yiping; Raper, Steven E.; Cohn, Jonathan A.; Engelhardt, John F.; Wilson, James M.

    1993-05-01

    Cystic fibrosis (CF) is an inherited disease of epithelial cell ion transport that is associated with pathology in multiple organ systems, including lung, pancreas, and liver. As treatment of the pulmonary manifestations of CF has improved, management of CF liver disease has become increasingly important in adult patients. This report describes an approach for treating CF liver disease by somatic gene transfer. In situ hybridization and immunocytochemistry analysis of rat liver sections indicated that the endogenous CFTR (cystic fibrosis transmembrane conductance regulator) gene is primarily expressed in the intrahepatic biliary epithelial cells. To specifically target recombinant genes to the biliary epithelium in vivo, recombinant adenoviruses expressing lacZ or human CFTR were infused retrograde into the biliary tract through the common bile duct. Conditions were established for achieving recombinant gene expression in virtually all cells of the intrahepatic bile ducts in vivo. Expression persisted in the smaller bile ducts for the duration of the experiment, which was 21 days. These studies suggest that it may be feasible to prevent CF liver disease by genetically reconstituting CFTR expression in the biliary tract, using an approach that is clinically feasible.

  5. PETModule: a motif module based approach for enhancer target gene prediction.

    Science.gov (United States)

    Zhao, Changyong; Li, Xiaoman; Hu, Haiyan

    2016-01-01

    The identification of enhancer-target gene (ETG) pairs is vital for the understanding of gene transcriptional regulation. Experimental approaches such as Hi-C have generated valuable resources of ETG pairs. Several computational methods have also been developed to successfully predict ETG interactions. Despite these progresses, high-throughput experimental approaches are still costly and existing computational approaches are still suboptimal and not easy to apply. Here we developed a motif module based approach called PETModule that predicts ETG pairs. Tested on eight human cell types and two mouse cell types, we showed that a large number of our predictions were supported by Hi-C and/or ChIA-PET experiments. Compared with two recently developed approaches for ETG pair prediction, we shown that PETModule had a much better recall, a similar or better F1 score, and a larger area under the receiver operating characteristic curve. The PETModule tool is freely available at http://hulab.ucf.edu/research/projects/PETModule/. PMID:27436110

  6. An Integrated Approach to Gene Discovery and Marker Development in Atlantic Cod (Gadus morhua)

    OpenAIRE

    Bowman, Sharen; Hubert, Sophie; Higgins, Brent; Stone, Cynthia; Kimball, Jennifer; Borza, Tudor; Bussey, Jillian Tarrant; Simpson, Gary; Kozera, Catherine; Curtis, Bruce A.; Hall, Jennifer R.; Hori, Tiago S.; Feng, Charles Y.; Rise, Marlies; Booman, Marije

    2010-01-01

    Atlantic cod is a species that has been overexploited by the capture fishery. Programs to domesticate this species are underway in several countries, including Canada, to provide an alternative route for production. Selective breeding programs have been successfully applied in the domestication of other species, with genomics-based approaches used to augment conventional methods of animal production in recent years. Genomics tools, such as gene sequences and sets of variable markers, also hav...

  7. Development of a recA Gene-Based Identification Approach for the Entire Burkholderia Genus

    OpenAIRE

    Payne, George W.; Vandamme, Peter; Morgan, Sara H.; LiPuma, John J.; Coenye, Tom; Weightman, Andrew J.; Jones, T. Hefin; Mahenthiralingam, Eshwar

    2005-01-01

    Burkholderia is an important bacterial genus containing species of ecological, biotechnological, and pathogenic interest. With their taxonomy undergoing constant revision and the phenotypic similarity of several species, correct identification of Burkholderia is difficult. A genetic scheme based on the recA gene has greatly enhanced the identification of Burkholderia cepacia complex species. However, the PCR developed for the latter approach was limited by its specificity for the complex. By ...

  8. Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi

    OpenAIRE

    Cacho, Ralph A.; Yi eTang; Yit-Heng eChooi

    2015-01-01

    Genomics has revolutionized the research on fungal secondary metabolite biosynthesis. To elucidate the molecular and enzymatic mechanisms underlying the biosynthesis of a specific secondary metabolite compound, the important first step is often to find the genes that responsible for its synthesis. The accessibility to fungal genome sequences allows the bypass of the cumbersome traditional library construction and screening approach. The advance in next-generation sequencing (NGS) technologies...

  9. Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi

    OpenAIRE

    Cacho, Ralph A.; Tang, Yi; Chooi, Yit-Heng

    2015-01-01

    Genomics has revolutionized the research on fungal secondary metabolite (SM) biosynthesis. To elucidate the molecular and enzymatic mechanisms underlying the biosynthesis of a specific SM compound, the important first step is often to find the genes that responsible for its synthesis. The accessibility to fungal genome sequences allows the bypass of the cumbersome traditional library construction and screening approach. The advance in next-generation sequencing (NGS) technologies have further...

  10. A chromatin activity based chemoproteomic approach reveals a transcriptional repressome for gene-specific silencing

    OpenAIRE

    Liu, Cui; Yu, Yanbao; Liu, Feng; Wei, Xin; Wrobel, John A; Gunawardena, Harsha P.; Zhou, Li; Jin, Jian; Chen, Xian

    2014-01-01

    Immune cells develop endotoxin tolerance (ET) after prolonged stimulation. ET increases the level of a repression mark H3K9me2 in the transcriptional-silent chromatin specifically associated with pro-inflammatory genes. However, it is not clear what proteins are functionally involved in this process. Here we show that a novel chromatin activity based chemoproteomic (ChaC) approach can dissect the functional chromatin protein complexes that regulate ET-associated inflammation. Using UNC0638 th...

  11. On the dynamic control of matching queues

    Directory of Open Access Journals (Sweden)

    Itai Gurvich

    2015-03-01

    Full Text Available We consider the optimal control of matching queues with random arrivals. In this model, items arrive to dedicated queues, and wait to be matched with items from other (possibly multiple queues. A match type corresponds to the set of item classes required for a match. Once a decision has been made to perform a match, the matching itself is instantaneous and the matched items depart from the system. We consider the problem of minimizing finite-horizon cumulative holding costs. The controller must decide which matchings to execute given multiple options. In principle, the controller may choose to wait until some “inventory” of items builds up to facilitate more profitable matches in the future. We introduce a multi-dimensional imbalance process, that at each time t, is given by a linear function of the cumulative arrivals to each of the item classes. A non-zero value of the imbalance at time t means that no control could have matched all the items that arrived by time t. A lower bound based on the imbalance process can be specified, at each time point, by a solution to an optimization problem with linear constraints.While not achievable in general, this lower bound can be asymptotically approached under a dedicated item condition (an analogue of the local traffic condition in bandwidth sharing networks. We devise a myopic discrete-review matching control that asymptotically–as the arrival rates become large–achieves the imbalance-based lower bound.

  12. Popular b-matchings

    CERN Document Server

    Paluch, Katarzyna

    2011-01-01

    Suppose that each member of a set of agents has a preference list of a subset of houses, possibly involving ties and each agent and house has their capacity denoting the maximum number of correspondingly agents/houses that can be matched to him/her/it. We want to find a matching $M$, for which there is no other matching $M'$ such that more agents prefer $M'$ to $M$ than $M$ to $M'$. (What it means that an agent prefers one matching to the other is explained in the paper.) Popular matchings have been studied quite extensively, especially in the one-to-one setting. We provide a characterization of popular b-matchings for two defintions of popularity, show some $NP$-hardness results and for certain versions describe polynomial algorithms.

  13. A Bayesian Network Framework for Relational Shape Matching

    OpenAIRE

    Rangarajan, Anand; Coughlan, James; Yuille, Alan

    2003-01-01

    A Bayesian network formulation for relational shape matching is presented. The main advantage of the re- lational shape matching approach is the obviation of the non-rigid spatial mappings used by recent non-rigid matching approaches. The basic variables that need to be estimated in the relational shape matching objective function are the global rotation and scale and the lo- cal displacements and correspondences. The new Bethe free energy approach is used to estimate the pairwise co...

  14. Investigating the Role of Child Sexual Abuse in Intimate Partner Violence Victimization and Perpetration in Young Adulthood From a Propensity Score Matching Approach.

    Science.gov (United States)

    Jennings, Wesley G; Richards, Tara N; Tomsich, Elizabeth; Gover, Angela R

    2015-01-01

    The link between child sexual abuse and adult intimate partner violence surfaces throughout prior research. Nonetheless, methodologies investigating this cycle of violence predominantly involve descriptive, correlational, or traditional regression-based analyses that preclude more definitive statements about the empirical relationship between child sexual abuse and adult partner violence. In recognition of these limitations, the current study presents a quasi-experimental investigation into the relationship between sexual abuse in childhood and physical partner violence victimization and/or perpetration in young adulthood. Propensity score matching analysis of a national data set sampling over 4,000 young adults suggests that experiencing child sexual abuse influences adult intimate partner violence victimization and perpetration. Study implications and directions for future research are discussed. PMID:26340073

  15. 基于曲率特征的自主车辆地图匹配定位方法%A Novel Localization Approach for Autonomous Vehicles Based on Map Matching with Curvature Features

    Institute of Scientific and Technical Information of China (English)

    苏奎峰; 邓志东; 黄振

    2012-01-01

    提出了一种新的基于曲率特征的自主车辆地图匹配定位方法,该方法通过计算自主车辆行驶轨迹和参考轨迹的尺度不变曲率积分特征及其相关性进行匹配,可以有效地消除因航迹推算(DR)传感器标定参数偏差和航向角估计偏差而引起的错误匹配问题.文中首先采用扩展卡尔曼滤波器融合惯性测量单元输出、方向盘转角和4个ABS(防抱死刹车系统)传感器测量的轮速,估计自主车辆的位姿状态,并据此从数字地图中选择匹配的候选路段.然后利用本文提出的曲率空间特征地图匹配算法实现路段匹配,并根据曲率和航向角变化确定匹配点,最后将其作为无迹卡尔曼滤波器的观测值更新滤波器,从而实现高精度的位姿估计.现场道路实验结果表明,该法能够有效地实现地图匹配,降低自主车辆DR产生的累积误差,从而能够在GPS(全球定位系统)信号失效情况下实现长距离精确定位.%Using the curvature features, a novel map-matching based localization approach for autonomous vehicles is proposed. By computing the scale-invariant curvature integral and its correlation of autonomous vehicle's historical and reference trajectories for matching, the proposed approach can effectively eliminate the mismatch problem caused by odometer calibration parameters bias and azimuth estimation errors in dead-reckoning (DR). Firstly, we integrate the inertial measurement unit output, steering angles, and wheel speed measurements from four ABS (anti-lock braking system) sensors by using the extended Kalman filter in order to estimate the autonomous vehicle's position and orientation, which are then used to select the candidate matching segments from digital maps. Then, a map matching algorithm based on spatial curvature features is proposed to accomplish segment matching, and matching points are determined according to the changes in curvature and yaw. Finally, these matching points

  16. Element Level Semantic Matching

    OpenAIRE

    Giunchiglia, Fausto; Yatskevich, Mikalai

    2004-01-01

    We think of Match as an operator which takes two graph-like structures and produces a mapping between semantically related nodes. The matching process is essentially divided into two steps: element level and structure level. Element level matchers consider only labels of nodes, while structure level matchers start from this information to consider the full graph. In this paper we present various element level semantic matchers, and discuss their implementation within the S-Match system. The m...

  17. Uncertain Schema Matching

    CERN Document Server

    Gal, Avigdor

    2011-01-01

    Schema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous, distributed data sources. Schema matching is one of the basic operations required by the process of data and schema integration, and thus has a great effect on its outcomes, whether these involve targeted content delivery, view integration, database integration, query rewriting over heterogeneous sources, duplicate data elimination, or automatic streamlining of workflow activities that involve heterogeneous data sources. Although schema matching research has been o

  18. Matchings in hexagonal cacti

    Directory of Open Access Journals (Sweden)

    E. J. Farrell

    1987-06-01

    Full Text Available Explicit recurrences are derived for the matching polynomials of the basic types of hexagonal cacti, the linear cactus and the star cactus and also for an associated graph, called the hexagonal crown. Tables of the polynomials are given for each type of graph. Explicit formulae are then obtained for the number of defect-d matchings in the graphs, for various values of d. In particular, formulae are derived for the number of perfect matchings in all three types of graphs. Finally, results are given for the total number of matchings in the graphs.

  19. A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.

    Science.gov (United States)

    Vafaee Sharbaf, Fatemeh; Mosafer, Sara; Moattar, Mohammad Hossein

    2016-06-01

    This paper proposes an approach for gene selection in microarray data. The proposed approach consists of a primary filter approach using Fisher criterion which reduces the initial genes and hence the search space and time complexity. Then, a wrapper approach which is based on cellular learning automata (CLA) optimized with ant colony method (ACO) is used to find the set of features which improve the classification accuracy. CLA is applied due to its capability to learn and model complicated relationships. The selected features from the last phase are evaluated using ROC curve and the most effective while smallest feature subset is determined. The classifiers which are evaluated in the proposed framework are K-nearest neighbor; support vector machine and naïve Bayes. The proposed approach is evaluated on 4 microarray datasets. The evaluations confirm that the proposed approach can find the smallest subset of genes while approaching the maximum accuracy. PMID:27154739

  20. The ethics of germ-line gene therapy: challenges to mainstream approaches by a feminist critique.

    Science.gov (United States)

    Perlman, D

    1993-01-01

    Many mainstream bioethicists visualize the ethical debate surrounding germ-line gene therapy (GLGT) as a conflict of rights and duties between a woman and her fetus and as representative of the larger tension between the principles of autonomy and beneficence and its corollary duty to nonmaleficence. Many feminist ethicists attempt to circumnavigate the purported inadequacies of mainstream ethical approaches and take a much broader, context-oriented approach to reproductive freedom. The first section will describe many of the mainstream conflicts surrounding GLGT and offer a feminist critique of the inadequacies of mainstream approaches. Instead of merely achieving a stalemate in ethical dialogue from the mainstream viewpoint, the application of a feminist view of the fetus and reproductive freedom provides a more equitable and ethically inclusive adjudication of the central issue surrounding the ethics of GLGT, as the second section will show. PMID:8118148

  1. Gene network homology in prokaryotes using a similarity search approach: queries of quorum sensing signal transduction.

    Directory of Open Access Journals (Sweden)

    David N Quan

    Full Text Available Bacterial cell-cell communication is mediated by small signaling molecules known as autoinducers. Importantly, autoinducer-2 (AI-2 is synthesized via the enzyme LuxS in over 80 species, some of which mediate their pathogenicity by recognizing and transducing this signal in a cell density dependent manner. AI-2 mediated phenotypes are not well understood however, as the means for signal transduction appears varied among species, while AI-2 synthesis processes appear conserved. Approaches to reveal the recognition pathways of AI-2 will shed light on pathogenicity as we believe recognition of the signal is likely as important, if not more, than the signal synthesis. LMNAST (Local Modular Network Alignment Similarity Tool uses a local similarity search heuristic to study gene order, generating homology hits for the genomic arrangement of a query gene sequence. We develop and apply this tool for the E. coli lac and LuxS regulated (Lsr systems. Lsr is of great interest as it mediates AI-2 uptake and processing. Both test searches generated results that were subsequently analyzed through a number of different lenses, each with its own level of granularity, from a binary phylogenetic representation down to trackback plots that preserve genomic organizational information. Through a survey of these results, we demonstrate the identification of orthologs, paralogs, hitchhiking genes, gene loss, gene rearrangement within an operon context, and also horizontal gene transfer (HGT. We found a variety of operon structures that are consistent with our hypothesis that the signal can be perceived and transduced by homologous protein complexes, while their regulation may be key to defining subsequent phenotypic behavior.

  2. Sensitive and robust gene expression changes in fish exposed to estrogen – a microarray approach

    Directory of Open Access Journals (Sweden)

    Nerman Olle

    2007-06-01

    Full Text Available Abstract Background Vitellogenin is a well established biomarker for estrogenic exposure in fish. However, effects on gonadal differentiation at concentrations of estrogen not sufficient to give rise to a measurable vitellogenin response suggest that more sensitive biomarkers would be useful. Induction of zona pellucida genes may be more sensitive but their specificities are not as clear. The objective of this study was to find additional sensitive and robust candidate biomarkers of estrogenic exposure. Results Hepatic mRNA expression profiles were characterized in juvenile rainbow trout exposed to a measured concentration of 0.87 and 10 ng ethinylestradiol/L using a salmonid cDNA microarray. The higher concentration was used to guide the subsequent identification of generally more subtle responses at the low concentration not sufficient to induce vitellogenin. A meta-analysis was performed with data from the present study and three similar microarray studies using different fish species and platforms. Within the generated list of presumably robust responses, several well-known estrogen-regulated genes were identified. Two genes, confirmed by quantitative RT-PCR (qPCR, fulfilled both the criteria of high sensitivity and robustness; the induction of the genes encoding zona pellucida protein 3 and a nucleoside diphosphate kinase (nm23. Conclusion The cross-species, cross-platform meta-analysis correctly identified several robust responses. This adds confidence to our approach used for identifying candidate biomarkers. Specifically, we propose that analyses of an nm23 gene together with zona pellucida genes may increase the possibilities to detect an exposure to low levels of estrogenic compounds in fish.

  3. A Genome-Wide Methylation Approach Identifies a New Hypermethylated Gene Panel in Ulcerative Colitis

    Science.gov (United States)

    Kang, Keunsoo; Bae, Jin-Han; Han, Kyudong; Kim, Eun Soo; Kim, Tae-Oh; Yi, Joo Mi

    2016-01-01

    The cause of inflammatory bowel disease (IBD) is still unknown, but there is growing evidence that environmental factors such as epigenetic changes can contribute to the disease etiology. The aim of this study was to identify newly hypermethylated genes in ulcerative colitis (UC) using a genome-wide DNA methylation approach. Using an Infinium HumanMethylation450 BeadChip array, we screened the DNA methylation changes in three normal colon controls and eight UC patients. Using these methylation profiles, 48 probes associated with CpG promoter methylation showed differential hypermethylation between UC patients and normal controls. Technical validations for methylation analyses in a larger series of UC patients (n = 79) were performed by methylation-specific PCR (MSP) and bisulfite sequencing analysis. We finally found that three genes (FAM217B, KIAA1614 and RIBC2) that were significantly elevating the promoter methylation levels in UC compared to normal controls. Interestingly, we confirmed that three genes were transcriptionally silenced in UC patient samples by qRT-PCR, suggesting that their silencing is correlated with the promoter hypermethylation. Pathway analyses were performed using GO and KEGG databases with differentially hypermethylated genes in UC. Our results highlight that aberrant hypermethylation was identified in UC patients which can be a potential biomarker for detecting UC. Moreover, pathway-enriched hypermethylated genes are possibly implicating important cellular function in the pathogenesis of UC. Overall, this study describes a newly hypermethylated gene panel in UC patients and provides new clinical information that can be used for the diagnosis and therapeutic treatment of IBD. PMID:27517910

  4. An Integrated Data Driven Approach to Drug Repositioning Using Gene-Disease Associations.

    Science.gov (United States)

    Mullen, Joseph; Cockell, Simon J; Woollard, Peter; Wipat, Anil

    2016-01-01

    Drug development is both increasing in cost whilst decreasing in productivity. There is a general acceptance that the current paradigm of R&D needs to change. One alternative approach is drug repositioning. With target-based approaches utilised heavily in the field of drug discovery, it becomes increasingly necessary to have a systematic method to rank gene-disease associations. Although methods already exist to collect, integrate and score these associations, they are often not a reliable reflection of expert knowledge. Furthermore, the amount of data available in all areas covered by bioinformatics is increasing dramatically year on year. It thus makes sense to move away from more generalised hypothesis driven approaches to research to one that allows data to generate their own hypothesis. We introduce an integrated, data driven approach to drug repositioning. We first apply a Bayesian statistics approach to rank 309,885 gene-disease associations using existing knowledge. Ranked associations are then integrated with other biological data to produce a semantically-rich drug discovery network. Using this network, we show how our approach identifies diseases of the central nervous system (CNS) to be an area of interest. CNS disorders are identified due to the low numbers of such disorders that currently have marketed treatments, in comparison to other therapeutic areas. We then systematically mine our network for semantic subgraphs that allow us to infer drug-disease relations that are not captured in the network. We identify and rank 275,934 drug-disease has_indication associations after filtering those that are more likely to be side effects, whilst commenting on the top ranked associations in more detail. The dataset has been created in Neo4j and is available for download at https://bitbucket.org/ncl-intbio/genediseaserepositioning along with a Java implementation of the searching algorithm. PMID:27196054

  5. Screening currency notes for microbial pathogens and antibiotic resistance genes using a shotgun metagenomic approach.

    Directory of Open Access Journals (Sweden)

    Saakshi Jalali

    Full Text Available Fomites are a well-known source of microbial infections and previous studies have provided insights into the sojourning microbiome of fomites from various sources. Paper currency notes are one of the most commonly exchanged objects and its potential to transmit pathogenic organisms has been well recognized. Approaches to identify the microbiome associated with paper currency notes have been largely limited to culture dependent approaches. Subsequent studies portrayed the use of 16S ribosomal RNA based approaches which provided insights into the taxonomical distribution of the microbiome. However, recent techniques including shotgun sequencing provides resolution at gene level and enable estimation of their copy numbers in the metagenome. We investigated the microbiome of Indian paper currency notes using a shotgun metagenome sequencing approach. Metagenomic DNA isolated from samples of frequently circulated denominations of Indian currency notes were sequenced using Illumina Hiseq sequencer. Analysis of the data revealed presence of species belonging to both eukaryotic and prokaryotic genera. The taxonomic distribution at kingdom level revealed contigs mapping to eukaryota (70%, bacteria (9%, viruses and archae (~1%. We identified 78 pathogens including Staphylococcus aureus, Corynebacterium glutamicum, Enterococcus faecalis, and 75 cellulose degrading organisms including Acidothermus cellulolyticus, Cellulomonas flavigena and Ruminococcus albus. Additionally, 78 antibiotic resistance genes were identified and 18 of these were found in all the samples. Furthermore, six out of 78 pathogens harbored at least one of the 18 common antibiotic resistance genes. To the best of our knowledge, this is the first report of shotgun metagenome sequence dataset of paper currency notes, which can be useful for future applications including as bio-surveillance of exchangeable fomites for infectious agents.

  6. Optimal Packed String Matching

    DEFF Research Database (Denmark)

    Ben-Kiki, Oren; Bille, Philip; Breslauer, Dany;

    2011-01-01

    In the packed string matching problem, each machine word accommodates – characters, thus an n-character text occupies n/– memory words. We extend the Crochemore-Perrin constantspace O(n)-time string matching algorithm to run in optimal O(n/–) time and even in real-time, achieving a factor – speedup...

  7. Generic image matching system

    Science.gov (United States)

    Liang, Zhongjie T.

    1992-05-01

    The generic imaging matching system (GIMS) provides an optimal systematic solution to any problem of color image processing in printing and publishing that can be classified as or modeled to the generic image matching problem defined. Typical GIMS systems/processes include color matching from different output devices, color conversion, color correction, device calibration, colorimetric scanner, colorimetric printer, colorimetric color reproduction, and image interpolation from scattered data. GIMS makes color matching easy for the user and maximizes operational flexibility allowing the user to obtain the degree of match wanted while providing the capability to achieve the best balance with respect to the human perception of color, color fidelity, and preservation of image information and color contrast. Instead of controlling coefficients in a transformation formula, GIMS controls the mapping directly in a standard device-independent color space, so that color can be matched, conceptually, to the highest possible accuracy. An optimization algorithm called modified vector shading was developed to minimize the matching error and to perform a 'near-neighborhood' gamut compression. An automatic error correction algorithm with a multidirection searching procedure using correlated re-initialization was developed to avoid local minimum failures. Once the mapping for color matching is generated, it can be utilized by a multidimensional linear interpolator with a small look-up-table (LUT) implemented by either software, a hardware interpolator or a digital-signal-processor.

  8. From System-Wide Differential Gene Expression to Perturbed Regulatory Factors: A Combinatorial Approach.

    Directory of Open Access Journals (Sweden)

    Gaurang Mahajan

    Full Text Available High-throughput experiments such as microarrays and deep sequencing provide large scale information on the pattern of gene expression, which undergoes extensive remodeling as the cell dynamically responds to varying environmental cues or has its function disrupted under pathological conditions. An important initial step in the systematic analysis and interpretation of genome-scale expression alteration involves identification of a set of perturbed transcriptional regulators whose differential activity can provide a proximate hypothesis to account for these transcriptomic changes. In the present work, we propose an unbiased and logically natural approach to transcription factor enrichment. It involves overlaying a list of experimentally determined differentially expressed genes on a background regulatory network coming from e.g. literature curation or computational motif scanning, and identifying that subset of regulators whose aggregated target set best discriminates between the altered and the unaffected genes. In other words, our methodology entails testing of all possible regulatory subnetworks, rather than just the target sets of individual regulators as is followed in most standard approaches. We have proposed an iterative search method to efficiently find such a combination, and benchmarked it on E. coli microarray and regulatory network data available in the public domain. Comparative analysis carried out on artificially generated differential expression profiles, as well as empirical factor overexpression data for M. tuberculosis, shows that our methodology provides marked improvement in accuracy of regulatory inference relative to the standard method that involves evaluating factor enrichment in an individual manner.

  9. Snapshot of the eukaryotic gene expression in muskoxen rumen--a metatranscriptomic approach.

    Directory of Open Access Journals (Sweden)

    Meng Qi

    Full Text Available BACKGROUND: Herbivores rely on digestive tract lignocellulolytic microorganisms, including bacteria, fungi and protozoa, to derive energy and carbon from plant cell wall polysaccharides. Culture independent metagenomic studies have been used to reveal the genetic content of the bacterial species within gut microbiomes. However, the nature of the genes encoded by eukaryotic protozoa and fungi within these environments has not been explored using metagenomic or metatranscriptomic approaches. METHODOLOGY/PRINCIPAL FINDINGS: In this study, a metatranscriptomic approach was used to investigate the functional diversity of the eukaryotic microorganisms within the rumen of muskoxen (Ovibos moschatus, with a focus on plant cell wall degrading enzymes. Polyadenylated RNA (mRNA was sequenced on the Illumina Genome Analyzer II system and 2.8 gigabases of sequences were obtained and 59129 contigs assembled. Plant cell wall degrading enzyme modules including glycoside hydrolases, carbohydrate esterases and polysaccharide lyases were identified from over 2500 contigs. These included a number of glycoside hydrolase family 6 (GH6, GH48 and swollenin modules, which have rarely been described in previous gut metagenomic studies. CONCLUSIONS/SIGNIFICANCE: The muskoxen rumen metatranscriptome demonstrates a much higher percentage of cellulase enzyme discovery and an 8.7x higher rate of total carbohydrate active enzyme discovery per gigabase of sequence than previous rumen metagenomes. This study provides a snapshot of eukaryotic gene expression in the muskoxen rumen, and identifies a number of candidate genes coding for potentially valuable lignocellulolytic enzymes.

  10. Hitchhiking Effect Mapping: A New Approach for Discovering Agronomic Important Genes

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xue-yong; TONG Yi-ping; YOU Guang-xia; HAO Chen-yang; GE Hong-mei; WANG Lan-fen; LI Bin; DONG Yu-shen; LI Zhen-sheng

    2007-01-01

    Besides the natural selection, the crops cultivated today have experienced two episodes of strong artificial selection,domestic and modern breeding. Domestication led to giant genetic structure differentiation between cultivars and their wild species, while modern breeding made further genetic structure differentiation between the modern varieties and the landraces. In a population, diversity of the loci under strong selection is significantly lower than that of other loci. At the same time, diversity in the genomic regions flanking these selected loci also declines in the process of selection. This phenomenon is called hitchhiking effects or selection sweep in genetics. Genomic regions with selection sweep (haplotype block) could be detected after draft genome scanning (genome typing) with molecular markers in a number of released varieties or natural populations. Marker/trait association analysis in these regions would detect the loci (or QTLs) even the favored alleles (genes) in breeding or natural adaptation. Fine scanning of these genomic regions would help to determine the sizes of haplotype blocks and to discover the key genes, thereby providing very valuable information for isolation of the key genes and molecular design of new varieties. Establishment of high density genetic linkage maps in the major crops and availability of high throughput genotyping platform make it possible to discover agronomic important genes through marker/trait association analysis. On the basis of available publications, we give a brief introduction of the hitchhiking effect mapping approach in this paper using plant height, 1 000-grain weight, and phosphorus-deficiency tolerance as examples in wheat.

  11. An effective fuzzy kernel clustering analysis approach for gene expression data.

    Science.gov (United States)

    Sun, Lin; Xu, Jiucheng; Yin, Jiaojiao

    2015-01-01

    Fuzzy clustering is an important tool for analyzing microarray data. A major problem in applying fuzzy clustering method to microarray gene expression data is the choice of parameters with cluster number and centers. This paper proposes a new approach to fuzzy kernel clustering analysis (FKCA) that identifies desired cluster number and obtains more steady results for gene expression data. First of all, to optimize characteristic differences and estimate optimal cluster number, Gaussian kernel function is introduced to improve spectrum analysis method (SAM). By combining subtractive clustering with max-min distance mean, maximum distance method (MDM) is proposed to determine cluster centers. Then, the corresponding steps of improved SAM (ISAM) and MDM are given respectively, whose superiority and stability are illustrated through performing experimental comparisons on gene expression data. Finally, by introducing ISAM and MDM into FKCA, an effective improved FKCA algorithm is proposed. Experimental results from public gene expression data and UCI database show that the proposed algorithms are feasible for cluster analysis, and the clustering accuracy is higher than the other related clustering algorithms. PMID:26405958

  12. Towards the perfect prediction of soccer matches

    OpenAIRE

    Heuer, Andreas; Rubner, Oliver

    2012-01-01

    We present a systematic approach to the prediction of soccer matches. First, we show that the information about chances for goals is by far more informative than about the actual results. Second, we present a multivariate regression approach and show how the prediction quality increases with increasing information content. This prediction quality can be explicitly expressed in terms of just two parameters. Third, by disentangling the systematic and random components of soccer matches we can i...

  13. [MATCHE: Management Approach to Teaching Consumer and Homemaking Education.] Occupational Strand: Management. Module II-F-2: Occupational Preparation for Jobs Utilizing Housekeeping Skills.

    Science.gov (United States)

    Karikka, Katherine

    This competency-based preservice home economics teacher education module on occupational preparation for jobs utilizing housekeeping skills is the second in a set of two modules on occupational programs related to home management. (This set is part of a larger set of sixty-seven modules on the Management Approach to Teaching Consumer and…

  14. Use of metagenomic approaches to isolate lipolytic genes from activated sludge.

    Science.gov (United States)

    Liaw, Ren-Bao; Cheng, Mei-Ping; Wu, Ming-Che; Lee, Chia-Yin

    2010-11-01

    The aims of this study were to access the bacterial diversity and isolate lipolytic genes using the metagenomic approach in activated sludge of a swine wastewater treatment facility. On the basis of BLASTN analysis of 16S rRNA gene clones, most of these communities (90%) were of uncultivated bacteria. The metagenomic library was constructed using a plasmid vector and DNA extracted directly from activated sludge samples. The average insert size was approximately 5.1 kb. A total of 12 unique and lipolytic clones were obtained using the tributyrin plate assay. The rate of discovering a lipolytic clone in this study was as high as 0.31%. Molecular analysis revealed that most of the 16 putative lipolytic enzymes showed 28-55% identity with non-redundant protein sequences in the database. Briefly, this study demonstrates that activated sludge is an ideal bioresource for isolating new lipolytic enzymes. PMID:20639117

  15. Identification of Lung-Cancer-Related Genes with the Shortest Path Approach in a Protein-Protein Interaction Network

    Directory of Open Access Journals (Sweden)

    Bi-Qing Li

    2013-01-01

    Full Text Available Lung cancer is one of the leading causes of cancer mortality worldwide. The main types of lung cancer are small cell lung cancer (SCLC and nonsmall cell lung cancer (NSCLC. In this work, a computational method was proposed for identifying lung-cancer-related genes with a shortest path approach in a protein-protein interaction (PPI network. Based on the PPI data from STRING, a weighted PPI network was constructed. 54 NSCLC- and 84 SCLC-related genes were retrieved from associated KEGG pathways. Then the shortest paths between each pair of these 54 NSCLC genes and 84 SCLC genes were obtained with Dijkstra’s algorithm. Finally, all the genes on the shortest paths were extracted, and 25 and 38 shortest genes with a permutation P value less than 0.05 for NSCLC and SCLC were selected for further analysis. Some of the shortest path genes have been reported to be related to lung cancer. Intriguingly, the candidate genes we identified from the PPI network contained more cancer genes than those identified from the gene expression profiles. Furthermore, these genes possessed more functional similarity with the known cancer genes than those identified from the gene expression profiles. This study proved the efficiency of the proposed method and showed promising results.

  16. Rational design of modular circuits for gene transcription: A test of the bottom-up approach

    Directory of Open Access Journals (Sweden)

    Giordano Emanuele

    2010-11-01

    Full Text Available Abstract Background Most of synthetic circuits developed so far have been designed by an ad hoc approach, using a small number of components (i.e. LacI, TetR and a trial and error strategy. We are at the point where an increasing number of modular, inter-changeable and well-characterized components is needed to expand the construction of synthetic devices and to allow a rational approach to the design. Results We used interchangeable modular biological parts to create a set of novel synthetic devices for controlling gene transcription, and we developed a mathematical model of the modular circuits. Model parameters were identified by experimental measurements from a subset of modular combinations. The model revealed an unexpected feature of the lactose repressor system, i.e. a residual binding affinity for the operator site by induced lactose repressor molecules. Once this residual affinity was taken into account, the model properly reproduced the experimental data from the training set. The parameters identified in the training set allowed the prediction of the behavior of networks not included in the identification procedure. Conclusions This study provides new quantitative evidences that the use of independent and well-characterized biological parts and mathematical modeling, what is called a bottom-up approach to the construction of gene networks, can allow the design of new and different devices re-using the same modular parts.

  17. A Systems’ Biology Approach to Study MicroRNA-Mediated Gene Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Xin Lai

    2013-01-01

    Full Text Available MicroRNAs (miRNAs are potent effectors in gene regulatory networks where aberrant miRNA expression can contribute to human diseases such as cancer. For a better understanding of the regulatory role of miRNAs in coordinating gene expression, we here present a systems biology approach combining data-driven modeling and model-driven experiments. Such an approach is characterized by an iterative process, including biological data acquisition and integration, network construction, mathematical modeling and experimental validation. To demonstrate the application of this approach, we adopt it to investigate mechanisms of collective repression on p21 by multiple miRNAs. We first construct a p21 regulatory network based on data from the literature and further expand it using algorithms that predict molecular interactions. Based on the network structure, a detailed mechanistic model is established and its parameter values are determined using data. Finally, the calibrated model is used to study the effect of different miRNA expression profiles and cooperative target regulation on p21 expression levels in different biological contexts.

  18. A novel approach to simulate gene-environment interactions in complex diseases

    Directory of Open Access Journals (Sweden)

    Nicodemi Mario

    2010-01-01

    Full Text Available Abstract Background Complex diseases are multifactorial traits caused by both genetic and environmental factors. They represent the major part of human diseases and include those with largest prevalence and mortality (cancer, heart disease, obesity, etc.. Despite a large amount of information that has been collected about both genetic and environmental risk factors, there are few examples of studies on their interactions in epidemiological literature. One reason can be the incomplete knowledge of the power of statistical methods designed to search for risk factors and their interactions in these data sets. An improvement in this direction would lead to a better understanding and description of gene-environment interactions. To this aim, a possible strategy is to challenge the different statistical methods against data sets where the underlying phenomenon is completely known and fully controllable, for example simulated ones. Results We present a mathematical approach that models gene-environment interactions. By this method it is possible to generate simulated populations having gene-environment interactions of any form, involving any number of genetic and environmental factors and also allowing non-linear interactions as epistasis. In particular, we implemented a simple version of this model in a Gene-Environment iNteraction Simulator (GENS, a tool designed to simulate case-control data sets where a one gene-one environment interaction influences the disease risk. The main aim has been to allow the input of population characteristics by using standard epidemiological measures and to implement constraints to make the simulator behaviour biologically meaningful. Conclusions By the multi-logistic model implemented in GENS it is possible to simulate case-control samples of complex disease where gene-environment interactions influence the disease risk. The user has full control of the main characteristics of the simulated population and a Monte

  19. System biology approach to detect and assign biological functions and regulator genes to feed efficiency traits in Nellore cattle

    DEFF Research Database (Denmark)

    Alexandre, Pâmela; Kogelman, Lisette; Santana, Miguel; Eler, Joanir; Kadarmideen, Haja; Fukumasu, Heidge

    The objective of this study was to use a system biology approach to identify biological mechanisms involved on feed efficiency in Nellore cattle and its possible regulator genes. Two modules of co-expressed and highly inter-connected genes correlated to feed efficiency were identified as well as ...

  20. Finding Spaces for Urban Food Production – Matching Spatial and Stakeholder Analysis with Urban Agriculture Approaches in the Urban Renewal Area of Dortmund-Hörde, Germany

    OpenAIRE

    Roth, Michael; Frixen, Miryam; Tobisch, Carlos; Scholle, Thomas

    2015-01-01

    Using the case of an economically declined neighbourhood in the post-industrial German Ruhr Area (sometimes characterized as Germany’s “Rust Belt”), we analyse, describe and conclude how urban agriculture can be used as a catalyst to stimulate and support urban renewal and regeneration, especially from a socio-cultural perspective. Using the methodological framework of participatory action research, and linking bottom-up and top-down planning approaches, a project path was deve...

  1. Marketplaces and Matching

    OpenAIRE

    Coles, Melvyn G; Smith, Eric

    1994-01-01

    This paper models equilibrium trading patterns when marketplaces exist and goods are differentiated. When first visiting the market, a buyer samples a stock of goods. If fortunate, the buyer matches with and purchases one of these goods and then exits the market. If an initial match does not exist, the buyer can now only match with the flow of new goods for sale. The previous stock has been sampled and rejected. In a steady state, the current stock of unmatched traders on one side of the mark...

  2. Matching in Gabriel Graphs

    OpenAIRE

    Biniaz, Ahmad; Maheshwari, Anil; Smid, Michiel

    2014-01-01

    Given a set $P$ of $n$ points in the plane, the order-$k$ Gabriel graph on $P$, denoted by $k$-$GG$, has an edge between two points $p$ and $q$ if and only if the closed disk with diameter $pq$ contains at most $k$ points of $P$, excluding $p$ and $q$. We study matching problems in $k$-$GG$ graphs. We show that a Euclidean bottleneck perfect matching of $P$ is contained in $10$-$GG$, but $8$-$GG$ may not have any Euclidean bottleneck perfect matching. In addition we show that $0$-$GG$ has a m...

  3. Parameterized Pattern Matching -- Succinctly

    OpenAIRE

    Ganguly, Arnab; Shah, Rahul; Thankachan, Sharma V.

    2016-01-01

    We consider the $Parameterized$ $Pattern$ $Matching$ problem, where a pattern $P$ matches some location in a text $\\mathsf{T}$ iff there is a one-to-one correspondence between the alphabet symbols of the pattern to those of the text. More specifically, assume that the text $\\mathsf{T}$ contains $n$ characters from a static alphabet $\\Sigma_s$ and a parameterized alphabet $\\Sigma_p$, where $\\Sigma_s \\cap \\Sigma_p = \\varnothing$ and $|\\Sigma_s \\cup \\Sigma_p|=\\sigma$. A pattern $P$ matches a sub...

  4. Retroviral-mediated gene therapy for the treatment of hepatocellular carcinoma: an innovative approach for cancer therapy.

    OpenAIRE

    Huber, B E; Richards, C. A.; Krenitsky, T A

    1991-01-01

    An approach involving retroviral-mediated gene therapy for the treatment of neoplastic disease is described. This therapeutic approach is called "virus-directed enzyme/prodrug therapy" (VDEPT). The VDEPT approach exploits the transcriptional differences between normal and neoplastic cells to achieve selective killing of neoplastic cells. We now describe development of the VDEPT approach for the treatment of hepatocellular carcinoma. Replication-defective, amphotrophic retroviruses were constr...

  5. Data Matching Imputation System

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The DMIS dataset is a flat file record of the matching of several data set collections. Primarily it consists of VTRs, dealer records, Observer data in conjunction...

  6. Functional characterization of Drought-responsive Modules and Genes in Oryza sativa: A Network-based Approach

    Directory of Open Access Journals (Sweden)

    Sanchari eSircar

    2015-07-01

    Full Text Available Drought is one of the major environmental stress conditions affecting the yield of rice across the globe. Unraveling the functional roles of the drought-responsive genes and their underlying molecular mechanisms will provide important leads to improve the yield of rice. Co-expression relationships derived from condition-dependent gene expression data is an effective way to identify the functional associations between genes that are part of the same biological process and may be under similar transcriptional control. For this purpose, vast amount of freely available transcriptomic data can be used for functional annotation. In this study we consider gene expression data for different tissues and developmental stages in response to drought stress. We analyze the network of co-expressed genes to identify drought-responsive genes modules in a tissue and stage-specific manner based on differential expression and gene enrichment analysis. Taking cues from the systems-level behavior of these modules, we propose two approaches to identify clusters of tightly co-expressed/co-regulated genes. Using graph-centrality measures and differential gene expression, we identify biologically informative genes that lack any functional annotation. We show that using orthologous information from other plant species, the conserved co-expression patterns of the uncharacterized genes can be identified. Presence of a conserved neighborhood enables us to extrapolate functional annotation. Alternatively, we show that ‘guide-gene’ approach can help in understanding the tissue-specific transcriptional regulation of uncharacterized genes. Finally, we confirm the predicted roles of uncharacterized genes by the analysis of conserved cis-elements and explain the possible roles of these genes towards drought tolerance

  7. Matching with Contracts

    OpenAIRE

    John William Hatfield; Milgrom, Paul R.

    2005-01-01

    We develop a model of matching with contracts which incorporates, as special cases, the college admissions problem, the Kelso-Crawford labor market matching model, and ascending package auctions. We introduce a new "law of aggregate demand" for the case of discrete heterogeneous workers and show that, when workers are substitutes, this law is satisfied by profit-maximizing firms. When workers are substitutes and the law is satisfied, truthful reporting is a dominant strategy for workers in a ...

  8. Learning Graphs to Match

    OpenAIRE

    Cho, Minsu; Alahari, Karteek; Ponce, Jean

    2013-01-01

    International audience Many tasks in computer vision are formulated as graph matching problems. Despite the NP-hard nature of the problem, fast and accurate approximations have led to significant progress in a wide range of applications. Learning graph models from observed data, however, still remains a challenging issue. This paper presents an effective scheme to parameterize a graph model, and learn its structural attributes for visual object matching. For this, we propose a graph repres...

  9. SEMI-GLOBAL MATCHING IN OBJECT SPACE

    Directory of Open Access Journals (Sweden)

    F. Bethmann

    2015-03-01

    Full Text Available Semi-Global Matching (SGM is a widespread algorithm for image matching which is used for very different applications, ranging from real-time applications (e.g. for generating 3D data for driver assistance systems to aerial image matching. Originally developed for stereo-image matching, several extensions have been proposed to use more than two images within the matching process (multi-baseline matching, multi-view stereo. These extensions still perform the image matching in (rectified stereo images and combine the pairwise results afterwards to create the final solution. This paper proposes an alternative approach which is suitable for the introduction of an arbitrary number of images into the matching process and utilizes image matching by using non-rectified images. The new method differs from the original SGM method mainly in two aspects: Firstly, the cost calculation is formulated in object space within a dense voxel raster by using the grey (or colour values of all images instead of pairwise cost calculation in image space. Secondly, the semi-global (path-wise minimization process is transferred into object space as well, so that the result of semi-global optimization leads to index maps (instead of disparity maps which directly indicate the 3D positions of the best matches. Altogether, this yields to an essential simplification of the matching process compared to multi-view stereo (MVS approaches. After a description of the new method, results achieved from two different datasets (close-range and aerial are presented and discussed.

  10. Molecular genetic approach to human meningioma: loss of genes on chromosome 22

    Energy Technology Data Exchange (ETDEWEB)

    Seizinger, B.R.; De La Monte, S.; Atkins, L.; Gusella, J.F.; Martuza, R.L.

    1987-08-01

    A molecular genetic approach employing polymorphic DNA markers has been used to investigate the role of chromosomal aberrations in meningioma, one of the most common tumors of the human nervous system. Comparison of the alleles detected by DNA markers in tumor DNA versus DNA from normal tissue revealed chromosomal alterations present in primary surgical specimens. In agreement with cytogenetic studies of cultured meningiomas, the most frequent alteration detected was loss of heterozygosity on chromosome 22. Forty of 51 patients were constitutionally heterozygous for at least one chromosome 22 DNA marker. Seventeen of the 40 constitutionally heterozygotic patients (43%) displayed hemizygosity for the corresponding marker in their meningioma tumor tissues. Loss of heterozygosity was also detected at a significantly lower frequency for markers on several other autosomes. In view of the striking association between acoustic neuroma and meningioma in bilateral acoustic neurofibromatosis and the discovery that acoustic neuromas display specific loss of genes on chromosome 22, the authors propose that a common mechanism involving chromosome 22 is operative in the development of both tumor types. Fine-structure mapping to reveal partial deletions in meningiomas may provide the means to clone and characterize a gene (or genes) of importance for tumorigenesis in this and possibly other clinically associated tumors of the human nervous system.

  11. Observational Studies: Matching or Regression?

    Science.gov (United States)

    Brazauskas, Ruta; Logan, Brent R

    2016-03-01

    In observational studies with an aim of assessing treatment effect or comparing groups of patients, several approaches could be used. Often, baseline characteristics of patients may be imbalanced between groups, and adjustments are needed to account for this. It can be accomplished either via appropriate regression modeling or, alternatively, by conducting a matched pairs study. The latter is often chosen because it makes groups appear to be comparable. In this article we considered these 2 options in terms of their ability to detect a treatment effect in time-to-event studies. Our investigation shows that a Cox regression model applied to the entire cohort is often a more powerful tool in detecting treatment effect as compared with a matched study. Real data from a hematopoietic cell transplantation study is used as an example. PMID:26712591

  12. A suicide gene therapy approach to treat epidermolysis bullosa-associated skin cancer

    International Nuclear Information System (INIS)

    Recessive dystrophic epidermolysis bullosa (RDEB) is an inherited disease causing extensive blister formation within the basal membrane zone (BMZ) of the skin and mucous membranes. It is caused by premature STOP mutations in the COL7A1 gene, which is indispensable for proper skin assembling. RDEB is associated with the development of a highly malignant skin cancer (squamous cell carcinoma, SCC) in early adulthood that displays a life threatening complication within this patient group. To date, neither chemo- nor radiotherapies showed successful results and due to the high metastatic potential of RDEB SCC wide surgical excision is still favoured. In this study we could reveal a new promising cancer treatment using spliceosome mediated RNA trans-splicing (SMaRT) using a suicide gene therapy approach. First we identified the tumour marker gene MMP-9 expressed by RDEB SCC cells in cell culture which was used to generate various pre-mRNA trans-splicing molecules (PTM). PTMs are able to facilitate trans-splicing between a tumour target gene and a cell death inducing peptide/toxin, encoded by the PTM. As a consequence the toxin is expressed in cancer cells leading to the induction of cell death. This technique offers high specificity in cancer cell targeting compared to other conventional cDNA expression studies. Various trans-splicing molecules were pre-evaluated in a fluorescence screening model for their best trans-splicing efficiency with the target molecule. Herein we identified two potent PTMs (PTM BD0 and PTM BD6), that were further adapted for endogenous suicide studies by inserting the toxin streptolysin O. In two independent in vitro cell culture assays we were able to confirm that the trans-splicing molecules are able to induce expression of the toxin resulting in cell membrane permeabilization and increased cell death induction. The results indicate that SMaRT technology offers a new platform for a suicide gene therapy approach to treat malignant squamous cell

  13. On perfect k-matchings

    OpenAIRE

    Lu, Hongliang

    2010-01-01

    In this paper, we generalize the notions of perfect matchings, perfect 2-matchings to perfect k-matchings and give a necessary and sufficient condition for existence of perfect k-matchings. For bipartite graphs, we show that this k-matching problem is equivalent to that matching question. Moreover, for regular graphs, we provide a sufficient condition of perfect k-matching in terms of edge connectivity.

  14. ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene sets in which genes encoding secreted proteins are highly represented.

    Science.gov (United States)

    Saraswathi, Saras; Sundaram, Suresh; Sundararajan, Narasimhan; Zimmermann, Michael; Nilsen-Hamilton, Marit

    2011-01-01

    A combination of Integer-Coded Genetic Algorithm (ICGA) and Particle Swarm Optimization (PSO), coupled with the neural-network-based Extreme Learning Machine (ELM), is used for gene selection and cancer classification. ICGA is used with PSO-ELM to select an optimal set of genes, which is then used to build a classifier to develop an algorithm (ICGA_PSO_ELM) that can handle sparse data and sample imbalance. We evaluate the performance of ICGA-PSO-ELM and compare our results with existing methods in the literature. An investigation into the functions of the selected genes, using a systems biology approach, revealed that many of the identified genes are involved in cell signaling and proliferation. An analysis of these gene sets shows a larger representation of genes that encode secreted proteins than found in randomly selected gene sets. Secreted proteins constitute a major means by which cells interact with their surroundings. Mounting biological evidence has identified the tumor microenvironment as a critical factor that determines tumor survival and growth. Thus, the genes identified by this study that encode secreted proteins might provide important insights to the nature of the critical biological features in the microenvironment of each tumor type that allow these cells to thrive and proliferate. PMID:21233525

  15. A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer

    Directory of Open Access Journals (Sweden)

    Reverter Antonio

    2011-02-01

    Full Text Available Abstract Background Cancer has remarkable complexity at the molecular level, with multiple genes, proteins, pathways and regulatory interconnections being affected. We introduce a systems biology approach to study cancer that formally integrates the available genetic, transcriptomic, epigenetic and molecular knowledge on cancer biology and, as a proof of concept, we apply it to colorectal cancer. Results We first classified all the genes in the human genome into cancer-associated and non-cancer-associated genes based on extensive literature mining. We then selected a set of functional attributes proven to be highly relevant to cancer biology that includes protein kinases, secreted proteins, transcription factors, post-translational modifications of proteins, DNA methylation and tissue specificity. These cancer-associated genes were used to extract 'common cancer fingerprints' through these molecular attributes, and a Boolean logic was implemented in such a way that both the expression data and functional attributes could be rationally integrated, allowing for the generation of a guilt-by-association algorithm to identify novel cancer-associated genes. Finally, these candidate genes are interlaced with the known cancer-related genes in a network analysis aimed at identifying highly conserved gene interactions that impact cancer outcome. We demonstrate the effectiveness of this approach using colorectal cancer as a test case and identify several novel candidate genes that are classified according to their functional attributes. These genes include the following: 1 secreted proteins as potential biomarkers for the early detection of colorectal cancer (FXYD1, GUCA2B, REG3A; 2 kinases as potential drug candidates to prevent tumor growth (CDC42BPB, EPHB3, TRPM6; and 3 potential oncogenic transcription factors (CDK8, MEF2C, ZIC2. Conclusion We argue that this is a holistic approach that faithfully mimics cancer characteristics, efficiently predicts

  16. Classified Stable Matching

    CERN Document Server

    Huang, Chien-Chung

    2009-01-01

    We introduce the {\\sc classified stable matching} problem, a problem motivated by academic hiring. Suppose that a number of institutes are hiring faculty members from a pool of applicants. Both institutes and applicants have preferences over the other side. An institute classifies the applicants based on their research areas (or any other criterion), and, for each class, it sets a lower bound and an upper bound on the number of applicants it would hire in that class. The objective is to find a stable matching from which no group of participants has reason to deviate. Moreover, the matching should respect the upper/lower bounds of the classes. In the first part of the paper, we study classified stable matching problems whose classifications belong to a fixed set of ``order types.'' We show that if the set consists entirely of downward forests, there is a polynomial-time algorithm; otherwise, it is NP-complete to decide the existence of a stable matching. In the second part, we investigate the problem using a p...

  17. Outsourced pattern matching

    DEFF Research Database (Denmark)

    Faust, Sebastian; Hazay, Carmit; Venturi, Daniele

    2013-01-01

    In secure delegatable computation, computationally weak devices (or clients) wish to outsource their computation and data to an untrusted server in the cloud. While most earlier work considers the general question of how to securely outsource any computation to the cloud server, we focus...... on concrete and important functionalities and give the first protocol for the pattern matching problem in the cloud. Loosely speaking, this problem considers a text T that is outsourced to the cloud S by a client C T . In a query phase, clients C 1, …, C l run an efficient protocol with the server S...... and the client C T in order to learn the positions at which a pattern of length m matches the text (and nothing beyond that). This is called the outsourced pattern matching problem and is highly motivated in the context of delegatable computing since it offers storage alternatives for massive databases...

  18. Deciphering Ascorbic Acid Regulatory Pathways in Ripening Tomato Fruit Using a Weighted Gene Correlation Network Analysis Approach

    Institute of Scientific and Technical Information of China (English)

    Chao Gao; Zheng Ju; Shan Li; Jinhua Zuo; Daqi Fu; Huiqin Tian; Yunbo Luo; Benzhong Zhu

    2013-01-01

    Genotype is generally determined by the co-expression of diverse genes and multiple regulatory pathways in plants. Gene co-expression analysis combining with physiological trait data provides very important information about the gene function and regulatory mechanism. L-Ascorbic acid (AsA), which is an essential nutrient component for human health and plant metabolism, plays key roles in diverse biological processes such as cell cycle, cell expansion, stress resistance, hormone synthesis, and signaling. Here, we applied a weighted gene correlation network analysis approach based on gene expression values and AsA content data in ripening tomato (Solanum lycopersicum L.) fruit with different AsA content levels, which leads to identification of AsA relevant modules and vital genes in AsA regulatory pathways. Twenty-four modules were compartmentalized according to gene expression profiling. Among these modules, one negatively related module containing genes involved in redox processes and one positively related module enriched with genes involved in AsA biosynthetic and recycling pathways were further analyzed. The present work herein indicates that redox pathways as well as hormone-signal pathways are closely correlated with AsA accumulation in ripening tomato fruit, and allowed us to prioritize candidate genes for follow-up studies to dissect this interplay at the biochemical and molecular level.

  19. Schema matching and mapping

    CERN Document Server

    Bellahsene, Zohra; Rahm, Erhard

    2011-01-01

    Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation. The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements

  20. Organelle gene diversity under migration, mutation, and drift: equilibrium expectations, approach to equilibrium, effects of heteroplasmic cells, and comparison to nuclear genes.

    Science.gov (United States)

    Birky, C W; Fuerst, P; Maruyama, T

    1989-03-01

    We developed stochastic population genetic theory for mitochondrial and chloroplast genes, using an infinite alleles model appropriate for molecular genetic data. We considered the effects of mutation, random drift, and migration in a finite island model on selectively neutral alleles. Recurrence equations were obtained for the expectation of gene diversities within zygotes, within colonies, and between colonies. The variables are number and sizes of colonies, migration rates, sex ratios, degree of paternal transmission, number of germ line cell divisions, effective number of segregating organelle genomes, and mutation rate. Computer solutions of the recurrence equations were used to study the approach to equilibrium. Gene diversities equilibrate slowly, while GST, used to measure population subdivision, equilibrates rapidly. Approximate equilibrium equations for gene diversities and GST can be obtained by substituting Neo and me, simple functions of the numbers of breeding or migrating males and females and of the degree of paternal transmission, for the effective numbers of genes and migration rates in the corresponding equations for nuclear genes. The approximate equations are not valid when the diversity within individuals is large compared to that between individuals, as is often true for the D-loop of animal mtDNA. We used the exact equations to verify that organelle genes often show more subdivision than nuclear genes; however, we also identified the range of breeding and migrating sex ratios for which population subdivision is greater for nuclear genes. Finally, we show that gene diversities are higher for nuclei than for organelles over a larger range of sex ratios in a subdivided population than in a panmictic population. PMID:2714640

  1. Stratified SIFT Matching for Human Iris Recognition

    OpenAIRE

    Bakshi, Sambit; Mehrotra, Hunny; Majhi, Banshidhar

    2013-01-01

    This paper proposes an efficient three fold stratified SIFT matching for iris recognition. The objective is to filter wrongly paired conventional SIFT matches. In Strata I, the keypoints from gallery and probe iris images are paired using traditional SIFT approach. Due to high image similarity at different regions of iris there may be some impairments. These are detected and filtered by finding gradient of paired keypoints in Strata II. Further, the scaling factor of paired keypoints is used ...

  2. Improved Stereo Matching With Boosting Method

    OpenAIRE

    Shiny B; Dr. Deepa J.

    2015-01-01

    Abstract This paper presents an approach based on classification for improving the accuracy of stereo matching methods. We propose this method for occlusion handling. This work employs classification of pixels for finding the erroneous disparity values. Due to the wide applications of disparity map in 3D television medical imaging etc the accuracy of disparity map has high significance. An initial disparity map is obtained using local or global stereo matching methods from the input stereo i...

  3. An Event-Driven Approach for Studying Gene Block Evolution in Bacteria

    OpenAIRE

    Ream, David C.; Bankapur, Asma R; Friedberg, Iddo

    2015-01-01

    Motivation: Gene blocks are genes co-located on the chromosome. In many cases, gene blocks are conserved between bacterial species, sometimes as operons, when genes are co-transcribed. The conservation is rarely absolute: gene loss, gain, duplication, block splitting and block fusion are frequently observed. An open question in bacterial molecular evolution is that of the formation and breakup of gene blocks, for which several models have been proposed. These models, however, are not generall...

  4. Identification of novel small molecule inhibitors of adenovirus gene transfer using a high throughput screening approach.

    Science.gov (United States)

    Duffy, Margaret R; Parker, Alan L; Kalkman, Eric R; White, Katie; Kovalskyy, Dmytro; Kelly, Sharon M; Baker, Andrew H

    2013-08-28

    Due to many favourable attributes adenoviruses (Ads) are the most extensively used vectors for clinical gene therapy applications. However, following intravascular administration, the safety and efficacy of Ad vectors are hampered by the strong hepatic tropism and induction of a potent immune response. Such effects are determined by a range of complex interactions including those with neutralising antibodies, blood cells and factors, as well as binding to native cellular receptors (coxsackie adenovirus receptor (CAR), integrins). Once in the bloodstream, coagulation factor X (FX) has a pivotal role in determining Ad liver transduction and viral immune recognition. Due to difficulties in generating a vector devoid of multiple receptor binding motifs, we hypothesised that a small molecule inhibitor would be of value. Here, a pharmacological approach was implemented to block adenovirus transduction pathways. We developed a high throughput screening (HTS) platform to identify small molecule inhibitors of FX-mediated Ad5 gene transfer. Using an in vitro fluorescence and cell-based HTS, we evaluated 10,240 small molecules. Following sequential rounds of screening, three compounds, T5424837, T5550585 and T5660138 were identified that ablated FX-mediated Ad5 transduction with low micromolar potency. The candidate molecules possessed common structural features and formed part of the one pharmacophore model. Focused, mini-libraries were generated with structurally related molecules and in vitro screening revealed novel hits with similar or improved efficacy. The compounds did not interfere with Ad5:FX engagement but acted at a subsequent step by blocking efficient intracellular transport of the virus. In vivo, T5660138 and its closely related analogue T5660136 significantly reduced Ad5 liver transgene expression at 48 h post-intravenous administration of a high viral dose (1×10¹¹ vp/mouse). Therefore, this study identifies novel and potent small molecule inhibitors of the

  5. A multistep bioinformatic approach detects putative regulatory elements in gene promoters

    Directory of Open Access Journals (Sweden)

    Pizzi Cinzia

    2005-05-01

    Full Text Available Abstract Background Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge for definition of a sheltered search space and of appropriate search parameters, in order to develop a method for identification of a tractable number of sequence motifs. Results Novel software (COOP was developed for extraction of sequence motifs, based on clustering of exact or approximate patterns according to the frequency of their overlapping occurrences. Genomic sequences of 1 Kb upstream of 91 genes differentially expressed and/or encoding proteins with relevant function in adult human retina were analyzed. Methodology and results were tested by analysing 1,000 groups of putatively unrelated sequences, randomly selected among 17,156 human gene promoters. When applied to a sample of human promoters, the method identified 279 putative motifs frequently occurring in retina promoters sequences. Most of them are localized in the proximal portion of promoters, less variable in central region than in lateral regions and similar to known regulatory sequences. COOP software and reference manual are freely available upon request to the Authors. Conclusion The approach described in this paper seems effective for identifying a tractable number of sequence motifs with putative regulatory role.

  6. A multistep bioinformatic approach detects putative regulatory elements in gene promoters

    Science.gov (United States)

    Bortoluzzi, Stefania; Coppe, Alessandro; Bisognin, Andrea; Pizzi, Cinzia; Danieli, Gian Antonio

    2005-01-01

    Background Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge for definition of a sheltered search space and of appropriate search parameters, in order to develop a method for identification of a tractable number of sequence motifs. Results Novel software (COOP) was developed for extraction of sequence motifs, based on clustering of exact or approximate patterns according to the frequency of their overlapping occurrences. Genomic sequences of 1 Kb upstream of 91 genes differentially expressed and/or encoding proteins with relevant function in adult human retina were analyzed. Methodology and results were tested by analysing 1,000 groups of putatively unrelated sequences, randomly selected among 17,156 human gene promoters. When applied to a sample of human promoters, the method identified 279 putative motifs frequently occurring in retina promoters sequences. Most of them are localized in the proximal portion of promoters, less variable in central region than in lateral regions and similar to known regulatory sequences. COOP software and reference manual are freely available upon request to the Authors. Conclusion The approach described in this paper seems effective for identifying a tractable number of sequence motifs with putative regulatory role. PMID:15904489

  7. A Statistical Approach Reveals Designs for the Most Robust Stochastic Gene Oscillators.

    Science.gov (United States)

    Woods, Mae L; Leon, Miriam; Perez-Carrasco, Ruben; Barnes, Chris P

    2016-06-17

    The engineering of transcriptional networks presents many challenges due to the inherent uncertainty in the system structure, changing cellular context, and stochasticity in the governing dynamics. One approach to address these problems is to design and build systems that can function across a range of conditions; that is they are robust to uncertainty in their constituent components. Here we examine the parametric robustness landscape of transcriptional oscillators, which underlie many important processes such as circadian rhythms and the cell cycle, plus also serve as a model for the engineering of complex and emergent phenomena. The central questions that we address are: Can we build genetic oscillators that are more robust than those already constructed? Can we make genetic oscillators arbitrarily robust? These questions are technically challenging due to the large model and parameter spaces that must be efficiently explored. Here we use a measure of robustness that coincides with the Bayesian model evidence, combined with an efficient Monte Carlo method to traverse model space and concentrate on regions of high robustness, which enables the accurate evaluation of the relative robustness of gene network models governed by stochastic dynamics. We report the most robust two and three gene oscillator systems, plus examine how the number of interactions, the presence of autoregulation, and degradation of mRNA and protein affects the frequency, amplitude, and robustness of transcriptional oscillators. We also find that there is a limit to parametric robustness, beyond which there is nothing to be gained by adding additional feedback. Importantly, we provide predictions on new oscillator systems that can be constructed to verify the theory and advance design and modeling approaches to systems and synthetic biology. PMID:26835539

  8. Theory of fractional order elements based impedance matching networks

    KAUST Repository

    Radwan, Ahmed

    2011-03-01

    Fractional order circuit elements (inductors and capacitors) based impedance matching networks are introduced for the first time. In comparison to the conventional integer based L-type matching networks, fractional matching networks are much simpler and versatile. Any complex load can be matched utilizing a single series fractional element, which generally requires two elements for matching in the conventional approach. It is shown that all the Smith chart circles (resistance and reactance) are actually pairs of completely identical circles. They appear to be single for the conventional integer order case, where the identical circles completely overlap each other. The concept is supported by design equations and impedance matching examples. © 2010 IEEE.

  9. A Football Match

    Institute of Scientific and Technical Information of China (English)

    彭硕

    2002-01-01

    It was a Saturday morning, our school football team was going to have a match with the No. 28 Middle Schooh They were really a strong team. But we weren't afraid of them. We had many mare good players on our team, so we were stronger than ever before.

  10. Scanner matching optimization

    Science.gov (United States)

    Kupers, Michiel; Klingbeil, Patrick; Tschischgale, Joerg; Buhl, Stefan; Hempel, Fritjof

    2009-03-01

    Cost of ownership of scanners for the manufacturing of front end layers is becoming increasingly expensive. The ability to quickly switch the production of a layer to another scanner in case it is down is important. This paper presents a method to match the scanner grids in the most optimal manner so that use of front end scanners in effect becomes interchangeable. A breakdown of the various components of overlay is given and we discuss methods to optimize the matching strategy in the fab. A concern here is how to separate the scanner and process induced effects. We look at the relative contributions of intrafield and interfield errors caused by the scanner and the process. Experimental results of a method to control the scanner grid are presented and discussed. We compare the overlay results before and after optimizing the scanner grids and show that the matching penalty is reduced by 20%. We conclude with some thoughts on the need to correct the remaining matching errors.

  11. Characteristic Evolution and Matching

    Directory of Open Access Journals (Sweden)

    Winicour Jeffrey

    2001-01-01

    Full Text Available I review the development of numerical evolution codes for general relativity based upon the characteristic initial value problem. Progress is traced from the early stage of 1D feasibility studies to current 3D codes that simulate binary black holes. A prime application of characteristic evolution is Cauchy-characteristic matching, which is also reviewed.

  12. In vivo electroporation of the central nervous system: A non-viral approach for targeted gene delivery

    OpenAIRE

    Vry, Jochen De; Martinez-Martinez, Pilar; Losen, Mario; Temel, Yasin; Steckler, Thomas; Steinbusch, Harry W. M.; Baets, Marc De; Prickaerts, Jos

    2010-01-01

    Electroporation is a widely used technique for enhancing the efficiency of DNA delivery into cells. Application of electric pulses after local injection of DNA temporarily opens cell membranes and facilitates DNA uptake. Delivery of plasmid DNA by electroporation to alter gene expression in tissue has also been explored in vivo. This approach may constitute an alternative to viral gene transfer, or to transgenic or knock-out animals. Among the most frequently electroporated target tissues are...

  13. A novel approach for discovering condition-specific correlations of gene expressions within biological pathways by using cloud computing technology.

    Science.gov (United States)

    Chang, Tzu-Hao; Wu, Shih-Lin; Wang, Wei-Jen; Horng, Jorng-Tzong; Chang, Cheng-Wei

    2014-01-01

    Microarrays are widely used to assess gene expressions. Most microarray studies focus primarily on identifying differential gene expressions between conditions (e.g., cancer versus normal cells), for discovering the major factors that cause diseases. Because previous studies have not identified the correlations of differential gene expression between conditions, crucial but abnormal regulations that cause diseases might have been disregarded. This paper proposes an approach for discovering the condition-specific correlations of gene expressions within biological pathways. Because analyzing gene expression correlations is time consuming, an Apache Hadoop cloud computing platform was implemented. Three microarray data sets of breast cancer were collected from the Gene Expression Omnibus, and pathway information from the Kyoto Encyclopedia of Genes and Genomes was applied for discovering meaningful biological correlations. The results showed that adopting the Hadoop platform considerably decreased the computation time. Several correlations of differential gene expressions were discovered between the relapse and nonrelapse breast cancer samples, and most of them were involved in cancer regulation and cancer-related pathways. The results showed that breast cancer recurrence might be highly associated with the abnormal regulations of these gene pairs, rather than with their individual expression levels. The proposed method was computationally efficient and reliable, and stable results were obtained when different data sets were used. The proposed method is effective in identifying meaningful biological regulation patterns between conditions. PMID:24579087

  14. Comparative genomics and association mapping approaches for blast resistant genes in finger millet using SSRs.

    Directory of Open Access Journals (Sweden)

    B Kalyana Babu

    Full Text Available The major limiting factor for production and productivity of finger millet crop is blast disease caused by Magnaporthe grisea. Since, the genome sequence information available in finger millet crop is scarce, comparative genomics plays a very important role in identification of genes/QTLs linked to the blast resistance genes using SSR markers. In the present study, a total of 58 genic SSRs were developed for use in genetic analysis of a global collection of 190 finger millet genotypes. The 58 SSRs yielded ninety five scorable alleles and the polymorphism information content varied from 0.186 to 0.677 at an average of 0.385. The gene diversity was in the range of 0.208 to 0.726 with an average of 0.487. Association mapping for blast resistance was done using 104 SSR markers which identified four QTLs for finger blast and one QTL for neck blast resistance. The genomic marker RM262 and genic marker FMBLEST32 were linked to finger blast disease at a P value of 0.007 and explained phenotypic variance (R² of 10% and 8% respectively. The genomic marker UGEP81 was associated to finger blast at a P value of 0.009 and explained 7.5% of R². The QTLs for neck blast was associated with the genomic SSR marker UGEP18 at a P value of 0.01, which explained 11% of R². Three QTLs for blast resistance were found common by using both GLM and MLM approaches. The resistant alleles were found to be present mostly in the exotic genotypes. Among the genotypes of NW Himalayan region of India, VHC3997, VHC3996 and VHC3930 were found highly resistant, which may be effectively used as parents for developing blast resistant cultivars in the NW Himalayan region of India. The markers linked to the QTLs for blast resistance in the present study can be further used for cloning of the full length gene, fine mapping and their further use in the marker assisted breeding programmes for introgression of blast resistant alleles into locally adapted cultivars.

  15. Growing a Graph Matching from a Handful of Seeds

    OpenAIRE

    Kazemi, Ehsan; Hassani, S. Hamed; Grossglauser, Matthias

    2015-01-01

    In many graph–mining problems, two networks from different domains have to be matched. In the absence of reliable node attributes, graph matching has to rely on only the link structures of the two networks, which amounts to a generalization of the classic graph isomorphism problem. Graph matching has applications in social–network reconciliation and de-anonymization, protein–network alignment in biology, and computer vision. The most scalable graph–matching approaches use ideas from percolat...

  16. Impedance matching through a single passive fractional element

    KAUST Repository

    Radwan, Ahmed Gomaa

    2012-07-01

    For the first time, a generalized admittance Smith chart theory is introduced to represent fractional order circuit elements. The principles of fractional order matching circuits are described. We show that for fractional order α < 1, a single parallel fractional element can match a wider range of load impedances as compared to its series counterpart. Several matching examples demonstrate the versatility of fractional order series and parallel element matching as compared to the conventional approach. © 2012 IEEE.

  17. Decomposition Techniques for Subgraph Matching

    CERN Document Server

    Zampelli, Stephane; Deville, Yves; Backofen, Rolf

    2008-01-01

    In the constraint programming framework, state-of-the-art static and dynamic decomposition techniques are hard to apply to problems with complete initial constraint graphs. For such problems, we propose a hybrid approach of these techniques in the presence of global constraints. In particular, we solve the subgraph isomorphism problem. Further we design specific heuristics for this hard problem, exploiting its special structure to achieve decomposition. The underlying idea is to precompute a static heuristic on a subset of its constraint network, to follow this static ordering until a first problem decomposition is available, and to switch afterwards to a fully propagated, dynamically decomposing search. Experimental results show that, for sparse graphs, our decomposition method solves more instances than dedicated, state-of-the-art matching algorithms or standard constraint programming approaches.

  18. An integrated approach to gene discovery and marker development in Atlantic cod (Gadus morhua).

    Science.gov (United States)

    Bowman, Sharen; Hubert, Sophie; Higgins, Brent; Stone, Cynthia; Kimball, Jennifer; Borza, Tudor; Bussey, Jillian Tarrant; Simpson, Gary; Kozera, Catherine; Curtis, Bruce A; Hall, Jennifer R; Hori, Tiago S; Feng, Charles Y; Rise, Marlies; Booman, Marije; Gamperl, A Kurt; Trippel, Edward; Symonds, Jane; Johnson, Stewart C; Rise, Matthew L

    2011-04-01

    Atlantic cod is a species that has been overexploited by the capture fishery. Programs to domesticate this species are underway in several countries, including Canada, to provide an alternative route for production. Selective breeding programs have been successfully applied in the domestication of other species, with genomics-based approaches used to augment conventional methods of animal production in recent years. Genomics tools, such as gene sequences and sets of variable markers, also have the potential to enhance and accelerate selective breeding programs in aquaculture, and to provide better monitoring tools to ensure that wild cod populations are well managed. We describe the generation of significant genomics resources for Atlantic cod through an integrated genomics/selective breeding approach. These include 158,877 expressed sequence tags (ESTs), a set of annotated putative transcripts and several thousand single nucleotide polymorphism markers that were developed from, and have been shown to be highly variable in, fish enrolled in two selective breeding programs. Our EST collection was generated from various tissues and life cycle stages. In some cases, tissues from which libraries were generated were isolated from fish exposed to stressors, including elevated temperature, or antigen stimulation (bacterial and viral) to enrich for transcripts that are involved in these response pathways. The genomics resources described here support the developing aquaculture industry, enabling the application of molecular markers within selective breeding programs. Marker sets should also find widespread application in fisheries management. PMID:20396923

  19. A PiggyBac-mediated approach for muscle gene transfer or cell therapy

    Directory of Open Access Journals (Sweden)

    Déborah Ley

    2014-11-01

    Full Text Available An emerging therapeutic approach for Duchenne muscular dystrophy is the transplantation of autologous myogenic progenitor cells genetically modified to express dystrophin. The use of this approach is challenged by the difficulty in maintaining these cells ex vivo while keeping their myogenic potential, and ensuring sufficient transgene expression following their transplantation and myogenic differentiation in vivo. We investigated the use of the piggyBac transposon system to achieve stable gene expression when transferred to cultured mesoangioblasts and into murine muscles. Without selection, up to 8% of the mesoangioblasts expressed the transgene from 1 to 2 genomic copies of the piggyBac vector. Integration occurred mostly in intergenic genomic DNA and transgene expression was stable in vitro. Intramuscular transplantation of mouse Tibialis anterior muscles with mesoangioblasts containing the transposon led to sustained myofiber GFP expression in vivo. In contrast, the direct electroporation of the transposon-donor plasmids in the mouse Tibialis muscles in vivo did not lead to sustained transgene expression despite molecular evidence of piggyBac transposition in vivo. Together these findings provide a proof-of-principle that piggyBac transposon may be considered for mesoangioblast cell-based therapies of muscular dystrophies.

  20. A PiggyBac-mediated approach for muscle gene transfer or cell therapy.

    Science.gov (United States)

    Ley, Déborah; Van Zwieten, Ruthger; Puttini, Stefania; Iyer, Pavithra; Cochard, Alessia; Mermod, Nicolas

    2014-11-01

    An emerging therapeutic approach for Duchenne muscular dystrophy is the transplantation of autologous myogenic progenitor cells genetically modified to express dystrophin. The use of this approach is challenged by the difficulty in maintaining these cells ex vivo while keeping their myogenic potential, and ensuring sufficient transgene expression following their transplantation and myogenic differentiation in vivo. We investigated the use of the piggyBac transposon system to achieve stable gene expression when transferred to cultured mesoangioblasts and into murine muscles. Without selection, up to 8% of the mesoangioblasts expressed the transgene from 1 to 2 genomic copies of the piggyBac vector. Integration occurred mostly in intergenic genomic DNA and transgene expression was stable in vitro. Intramuscular transplantation of mouse Tibialis anterior muscles with mesoangioblasts containing the transposon led to sustained myofiber GFP expression in vivo. In contrast, the direct electroporation of the transposon-donor plasmids in the mouse Tibialis muscles in vivo did not lead to sustained transgene expression despite molecular evidence of piggyBac transposition in vivo. Together these findings provide a proof-of-principle that piggyBac transposon may be considered for mesoangioblast cell-based therapies of muscular dystrophies. PMID:25310255

  1. Statistical Approaches to Analyse Gene Bank Data Using a Lentil Germplasm Collection as a Case Study

    Directory of Open Access Journals (Sweden)

    Gabriella Sonnante

    2008-09-01

    Full Text Available Normally in a plant gene bank a large number of accessions per each crop and/ or taxon is stored. During their characterization and preliminary evaluation, several quantitative and qualitative data are recorded and, usually, a wide intra accession variation is observed. Th e management of all this information becomes very difficult without effective statistical methods combining these different types of data. At the Institute of Plant Genetics, CNR, in Bari (Italy this problem has been tackled by testing many statistical approaches. The present contribution describes one of these approaches, which to date has proven to be highly adequate; a case study describing a lentil germplasm collection has been used for demonstration. A valuable application of this method is the determination of core subsets important to increase the utilization and accessibility of plant genetic resources. In the presented case study a subset of the lentil germplasm collection was chosen to perform molecular analysis based on ISSR markers. The samples were selected on the basis of both morpho-agronomic evaluation and geographical origin. These markers proved to be useful for distinguishing among closely related genotypes and for possibly substantiating the genetic peculiarity of some interesting material.

  2. Reverse PCA, a systematic approach for identifying genes important for the physical interaction between protein pairs.

    Directory of Open Access Journals (Sweden)

    Ifat Lev

    Full Text Available Protein-protein interactions (PPIs are of central importance for many areas of biological research. Several complementary high-throughput technologies have been developed to study PPIs. The wealth of information that emerged from these technologies led to the first maps of the protein interactomes of several model organisms. Many changes can occur in protein complexes as a result of genetic and biochemical perturbations. In the absence of a suitable assay, such changes are difficult to identify, and thus have been poorly characterized. In this study, we present a novel genetic approach (termed "reverse PCA" that allows the identification of genes whose products are required for the physical interaction between two given proteins. Our assay starts with a yeast strain in which the interaction between two proteins of interest can be detected by resistance to the drug, methotrexate, in the context of the protein-fragment complementation assay (PCA. Using synthetic genetic array (SGA technology, we can systematically screen mutant libraries of the yeast Saccharomyces cerevisiae to identify those mutations that disrupt the physical interaction of interest. We were able to successfully validate this novel approach by identifying mutants that dissociate the conserved interaction between Cia2 and Mms19, two proteins involved in Iron-Sulfur protein biogenesis and genome stability. This method will facilitate the study of protein structure-function relationships, and may help in elucidating the mechanisms that regulate PPIs.

  3. Bayesian grid matching

    DEFF Research Database (Denmark)

    Hartelius, Karsten; Carstensen, Jens Michael

    2003-01-01

    A method for locating distorted grid structures in images is presented. The method is based on the theories of template matching and Bayesian image restoration. The grid is modeled as a deformable template. Prior knowledge of the grid is described through a Markov random field (MRF) model which...... represents the spatial coordinates of the grid nodes. Knowledge of how grid nodes are depicted in the observed image is described through the observation model. The prior consists of a node prior and an arc (edge) prior, both modeled as Gaussian MRFs. The node prior models variations in the positions of grid...... nodes and the arc prior models variations in row and column spacing across the grid. Grid matching is done by placing an initial rough grid over the image and applying an ensemble annealing scheme to maximize the posterior distribution of the grid. The method can be applied to noisy images with missing...

  4. History Matching in Parallel Computational Environments

    Energy Technology Data Exchange (ETDEWEB)

    Steven Bryant; Sanjay Srinivasan; Alvaro Barrera; Sharad Yadav

    2004-08-31

    In the probabilistic approach for history matching, the information from the dynamic data is merged with the prior geologic information in order to generate permeability models consistent with the observed dynamic data as well as the prior geology. The relationship between dynamic response data and reservoir attributes may vary in different regions of the reservoir due to spatial variations in reservoir attributes, fluid properties, well configuration, flow constrains on wells etc. This implies probabilistic approach should then update different regions of the reservoir in different ways. This necessitates delineation of multiple reservoir domains in order to increase the accuracy of the approach. The research focuses on a probabilistic approach to integrate dynamic data that ensures consistency between reservoir models developed from one stage to the next. The algorithm relies on efficient parameterization of the dynamic data integration problem and permits rapid assessment of the updated reservoir model at each stage. The report also outlines various domain decomposition schemes from the perspective of increasing the accuracy of probabilistic approach of history matching. Research progress in three important areas of the project are discussed: {lg_bullet}Validation and testing the probabilistic approach to incorporating production data in reservoir models. {lg_bullet}Development of a robust scheme for identifying reservoir regions that will result in a more robust parameterization of the history matching process. {lg_bullet}Testing commercial simulators for parallel capability and development of a parallel algorithm for history matching.

  5. Superlens as matching device

    OpenAIRE

    Veselago, V. G.

    2005-01-01

    The question is considered about possibility of overcoming diffraction limit at device, named superlens. This device is a flat slab, executed from material with index of refraction n,equal n=-1. It is shown, what this device really can focus the radiation to the spot, smaller than wavelength, but herewith superlens works not as optical instrument, based on the laws of geometric optics, but as certain matching device, for which does not exist diffraction limit. This is possible if thickness of...

  6. Designing Talent Matching Services

    OpenAIRE

    Kupari, Tiina

    2016-01-01

    There is a disruption going on in recruiting due to digitalization and the competition for the best tal¬ents. Due to these changes, recruiters are forced to re-evaluate their value proposals. Therefore, the case company, a consulting company in recruitment, found the need to update their talent matching services to bring added value to their customers. The aim was to reach the customers and talent understanding, and based on that, design service concepts. The literature review recapitula...

  7. Outsourced Pattern Matching

    OpenAIRE

    Faust, Sebastian; Hazay, Carmit; Venturi, Daniele

    2013-01-01

    In secure delegatable computation, computationally weak devices (or clients) wish to outsource their computation and data to an untrusted server in the cloud. While most earlier work considers the general question of how to securely outsource any computation to the cloud server, we focus on concrete and important functionalities and give the first protocol for the pattern matching problem in the cloud. Loosely speaking, this problem considers a text T that is outsourced to the cloud S by a cl...

  8. Multithreaded Implementation of Hybrid String Matching Algorithm

    Directory of Open Access Journals (Sweden)

    Akhtar Rasool

    2012-03-01

    Full Text Available Reading and taking reference from many books and articles, and then analyzing the Navies algorithm, Boyer Moore algorithm and Knuth Morris Pratt (KMP algorithm and a variety of improved algorithms, summarizes various advantages and disadvantages of the pattern matching algorithms. And on this basis, a new algorithm – Multithreaded Hybrid algorithm is introduced. The algorithm refers to Boyer Moore algorithm, KMP algorithm and the thinking of improved algorithms. Utilize the last character of the string, the next character and the method to compare from side to side, and then advance a new hybrid pattern matching algorithm. And it adjusted the comparison direction and the order of the comparison to make the maximum moving distance of each time to reduce the pattern matching time. The algorithm reduces the comparison number and greatlyreduces the moving number of the pattern and improves the matching efficiency. Multithreaded implementation of hybrid, pattern matching algorithm performs the parallel string searching on different text data by executing a number of threads simultaneously. This approach is advantageous from all other string-pattern matching algorithm in terms of time complexity. This again improves the overall string matching efficiency.

  9. Towards the perfect prediction of soccer matches

    CERN Document Server

    Heuer, Andreas

    2012-01-01

    We present a systematic approach to the prediction of soccer matches. First, we show that the information about chances for goals is by far more informative than about the actual results. Second, we present a multivariate regression approach and show how the prediction quality increases with increasing information content. This prediction quality can be explicitly expressed in terms of just two parameters. Third, by disentangling the systematic and random components of soccer matches we can identify the optimum level of predictability. These concepts are exemplified for the German Bundesliga.

  10. A systems genetics approach identifies CXCL14, ITGAX, and LPCAT2 as novel aggressive prostate cancer susceptibility genes.

    Directory of Open Access Journals (Sweden)

    Kendra A Williams

    2014-11-01

    Full Text Available Although prostate cancer typically runs an indolent course, a subset of men develop aggressive, fatal forms of this disease. We hypothesize that germline variation modulates susceptibility to aggressive prostate cancer. The goal of this work is to identify susceptibility genes using the C57BL/6-Tg(TRAMP8247Ng/J (TRAMP mouse model of neuroendocrine prostate cancer. Quantitative trait locus (QTL mapping was performed in transgene-positive (TRAMPxNOD/ShiLtJ F2 intercross males (n = 228, which facilitated identification of 11 loci associated with aggressive disease development. Microarray data derived from 126 (TRAMPxNOD/ShiLtJ F2 primary tumors were used to prioritize candidate genes within QTLs, with candidate genes deemed as being high priority when possessing both high levels of expression-trait correlation and a proximal expression QTL. This process enabled the identification of 35 aggressive prostate tumorigenesis candidate genes. The role of these genes in aggressive forms of human prostate cancer was investigated using two concurrent approaches. First, logistic regression analysis in two human prostate gene expression datasets revealed that expression levels of five genes (CXCL14, ITGAX, LPCAT2, RNASEH2A, and ZNF322 were positively correlated with aggressive prostate cancer and two genes (CCL19 and HIST1H1A were protective for aggressive prostate cancer. Higher than average levels of expression of the five genes that were positively correlated with aggressive disease were consistently associated with patient outcome in both human prostate cancer tumor gene expression datasets. Second, three of these five genes (CXCL14, ITGAX, and LPCAT2 harbored polymorphisms associated with aggressive disease development in a human GWAS cohort consisting of 1,172 prostate cancer patients. This study is the first example of using a systems genetics approach to successfully identify novel susceptibility genes for aggressive prostate cancer. Such

  11. Estimating Matching Games with Transfers

    OpenAIRE

    Jeremy T. Fox

    2008-01-01

    Economists wish to use data on matches to learn about the structural primitives that govern sorting. I show how to use equilibrium data on who matches with whom for semiparametric estimation of match production functions in many-to-many, two-sided matching games with transferable utility. Inequalities derived from equilibrium necessary conditions underlie a maximum score estimator of match production functions. The inequalities do not require data on transfers, quotas, production levels, or u...

  12. A complementary bioinformatics approach to identify potential plant cell wall glycosyltransferase-encoding genes.

    Science.gov (United States)

    Egelund, Jack; Skjøt, Michael; Geshi, Naomi; Ulvskov, Peter; Petersen, Bent Larsen

    2004-09-01

    Plant cell wall (CW) synthesizing enzymes can be divided into the glycan (i.e. cellulose and callose) synthases, which are multimembrane spanning proteins located at the plasma membrane, and the glycosyltransferases (GTs), which are Golgi localized single membrane spanning proteins, believed to participate in the synthesis of hemicellulose, pectin, mannans, and various glycoproteins. At the Carbohydrate-Active enZYmes (CAZy) database where e.g. glucoside hydrolases and GTs are classified into gene families primarily based on amino acid sequence similarities, 415 Arabidopsis GTs have been classified. Although much is known with regard to composition and fine structures of the plant CW, only a handful of CW biosynthetic GT genes-all classified in the CAZy system-have been characterized. In an effort to identify CW GTs that have not yet been classified in the CAZy database, a simple bioinformatics approach was adopted. First, the entire Arabidopsis proteome was run through the Transmembrane Hidden Markov Model 2.0 server and proteins containing one or, more rarely, two transmembrane domains within the N-terminal 150 amino acids were collected. Second, these sequences were submitted to the SUPERFAMILY prediction server, and sequences that were predicted to belong to the superfamilies NDP-sugartransferase, UDP-glycosyltransferase/glucogen-phosphorylase, carbohydrate-binding domain, Gal-binding domain, or Rossman fold were collected, yielding a total of 191 sequences. Fifty-two accessions already classified in CAZy were discarded. The resulting 139 sequences were then analyzed using the Three-Dimensional-Position-Specific Scoring Matrix and mGenTHREADER servers, and 27 sequences with similarity to either the GT-A or the GT-B fold were obtained. Proof of concept of the present approach has to some extent been provided by our recent demonstration that two members of this pool of 27 non-CAZy-classified putative GTs are xylosyltransferases involved in synthesis of pectin

  13. Linking gene regulation and the exo-metabolome: A comparative transcriptomics approach to identify genes that impact on the production of volatile aroma compounds in yeast

    Directory of Open Access Journals (Sweden)

    Bauer Florian F

    2008-11-01

    Full Text Available Abstract Background 'Omics' tools provide novel opportunities for system-wide analysis of complex cellular functions. Secondary metabolism is an example of a complex network of biochemical pathways, which, although well mapped from a biochemical point of view, is not well understood with regards to its physiological roles and genetic and biochemical regulation. Many of the metabolites produced by this network such as higher alcohols and esters are significant aroma impact compounds in fermentation products, and different yeast strains are known to produce highly divergent aroma profiles. Here, we investigated whether we can predict the impact of specific genes of known or unknown function on this metabolic network by combining whole transcriptome and partial exo-metabolome analysis. Results For this purpose, the gene expression levels of five different industrial wine yeast strains that produce divergent aroma profiles were established at three different time points of alcoholic fermentation in synthetic wine must. A matrix of gene expression data was generated and integrated with the concentrations of volatile aroma compounds measured at the same time points. This relatively unbiased approach to the study of volatile aroma compounds enabled us to identify candidate genes for aroma profile modification. Five of these genes, namely YMR210W, BAT1, AAD10, AAD14 and ACS1 were selected for overexpression in commercial wine yeast, VIN13. Analysis of the data show a statistically significant correlation between the changes in the exo-metabome of the overexpressing strains and the changes that were predicted based on the unbiased alignment of transcriptomic and exo-metabolomic data. Conclusion The data suggest that a comparative transcriptomics and metabolomics approach can be used to identify the metabolic impacts of the expression of individual genes in complex systems, and the amenability of transcriptomic data to direct applications of

  14. A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals

    Directory of Open Access Journals (Sweden)

    Qihua Tan

    2009-01-01

    Full Text Available Different from significant gene expression analysis which looks for genes that are differentially regulated, feature selection in the microarray-based prognostic gene expression analysis aims at finding a subset of marker genes that are not only differentially expressed but also informative for prediction. Unfortunately feature selection in literature of microarray study is predominated by the simple heuristic univariate gene filter paradigm that selects differentially expressed genes according to their statistical significances. We introduce a combinatory feature selection strategy that integrates differential gene expression analysis with the Gram-Schmidt process to identify prognostic genes that are both statistically significant and highly informative for predicting tumour survival outcomes. Empirical application to leukemia and ovarian cancer survival data through-within- and cross-study validations shows that the feature space can be largely reduced while achieving improved testing performances.

  15. A Computational Protein Phenotype Prediction Approach to Analyze the Deleterious Mutations of Human MED12 Gene.

    Science.gov (United States)

    Banaganapalli, Babajan; Mohammed, Kaleemuddin; Khan, Imran Ali; Al-Aama, Jumana Y; Elango, Ramu; Shaik, Noor Ahmad

    2016-09-01

    Genetic mutations in MED12, a subunit of Mediator complex are seen in a broad spectrum of human diseases. However, the underlying basis of how these pathogenic mutations elicit protein phenotype changes in terms of 3D structure, stability and protein binding sites remains unknown. Therefore, we aimed to investigate the structural and functional impacts of MED12 mutations, using computational methods as an alternate to traditional in vivo and in vitro approaches. The MED12 gene mutations details and their corresponding clinical associations were collected from different databases and by text-mining. Initially, diverse computational approaches were applied to categorize the different classes of mutations based on their deleterious impact to MED12. Then, protein structures for wild and mutant types built by integrative modeling were analyzed for structural divergence, solvent accessibility, stability, and functional interaction deformities. Finally, this study was able to identify that genetic mutations mapped to exon-2 region, highly conserved LCEWAV and Catenin domains induce biochemically severe amino acid changes which alters the protein phenotype as well as the stability of MED12-CYCC interactions. To better understand the deleterious nature of FS-IDs and Indels, this study asserts the utility of computational screening based on their propensity towards non-sense mediated decay. Current study findings may help to narrow down the number of MED12 mutations to be screened for mediator complex dysfunction associated genetic diseases. This study supports computational methods as a primary filter to verify the plausible impact of pathogenic mutations based on the perspective of evolution, expression and phenotype of proteins. J. Cell. Biochem. 117: 2023-2035, 2016. © 2016 Wiley Periodicals, Inc. PMID:26813965

  16. A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer

    OpenAIRE

    Leckie Christopher; Shi Fan; MacIntyre Geoff; Haviv Izhak; Boussioutas Alex; Kowalczyk Adam

    2010-01-01

    Abstract Background In the study of cancer genomics, gene expression microarrays, which measure thousands of genes in a single assay, provide abundant information for the investigation of interesting genes or biological pathways. However, in order to analyze the large number of noisy measurements in microarrays, effective and efficient bioinformatics techniques are needed to identify the associations between genes and relevant phenotypes. Moreover, systematic tests are needed to validate the ...

  17. Two approaches for induction and isolation of starch mutants in potato (Solanum tuberosum L.) : random versus gene targeted mutagenesis

    NARCIS (Netherlands)

    Hoogkamp, T.J.H.

    2001-01-01

    In this thesis two approaches were used to induce structural mutations in potato starch biosynthesis genes in potato. First production of new monoploid amf genotypes through parthenogenesis made it possible to initiate mutation breeding for amfae double mutants. Two amf monoploids were selected whic

  18. A systems genetics approach identifies genes and pathways for type 2 diabetes in human islets

    DEFF Research Database (Denmark)

    Taneera, Jalal; Lang, Stefan; Sharma, Amitabh;

    2012-01-01

    Close to 50 genetic loci have been associated with type 2 diabetes (T2D), but they explain only 15% of the heritability. In an attempt to identify additional T2D genes, we analyzed global gene expression in human islets from 63 donors. Using 48 genes located near T2D risk variants, we identified...

  19. A novel approach for a foreign gene expression by Newcastle disease virus

    Science.gov (United States)

    Newcastle disease virus (NDV) has been developed as vectors using reverse genetics technology to express foreign genes for vaccine, anticancer and gene therapy purposes. The foreign genes are usually inserted into the intergenic region of the NDV genome as an additional transcription unit. Based on ...

  20. A semi-supervised approach to extract pharmacogenomics-specific drug-gene pairs from biomedical literature for personalized medicine.

    Science.gov (United States)

    Xu, Rong; Wang, Quanqiu

    2013-08-01

    Personalized medicine is to deliver the right drug to the right patient in the right dose. Pharmacogenomics (PGx) is to identify genetic variants that may affect drug efficacy and toxicity. The availability of a comprehensive and accurate PGx-specific drug-gene relationship knowledge base is important for personalized medicine. However, building a large-scale PGx-specific drug-gene knowledge base is a difficult task. In this study, we developed a bootstrapping, semi-supervised learning approach to iteratively extract and rank drug-gene pairs according to their relevance to drug pharmacogenomics. Starting with a single PGx-specific seed pair and 20 million MEDLINE abstracts, the extraction algorithm achieved a precision of 0.219, recall of 0.368 and F1 of 0.274 after two iterations, a significant improvement over the results of using non-PGx-specific seeds (precision: 0.011, recall: 0.018, and F1: 0.014) or co-occurrence (precision: 0.015, recall: 1.000, and F1: 0.030). After the extraction step, the ranking algorithm further improved the precision from 0.219 to 0.561 for top ranked pairs. By comparing to a dictionary-based approach with PGx-specific gene lexicon as input, we showed that the bootstrapping approach has better performance in terms of both precision and F1 (precision: 0.251 vs. 0.152, recall: 0.396 vs. 0.856 and F1: 0.292 vs. 0.254). By integrative analysis using a large drug adverse event database, we have shown that the extracted drug-gene pairs strongly correlate with drug adverse events. In conclusion, we developed a novel semi-supervised bootstrapping approach for effective PGx-specific drug-gene pair extraction from large number of MEDLINE articles with minimal human input. PMID:23570835

  1. PATTERN MATCHING IN MODELS

    Directory of Open Access Journals (Sweden)

    Cristian GEORGESCU

    2005-01-01

    Full Text Available The goal of this paper is to investigate how such a pattern matching could be performed on models,including the definition of the input language as well as the elaboration of efficient matchingalgorithms. Design patterns can be considered reusable micro-architectures that contribute to anoverall system architecture. Frameworks are also closely related to design patterns. Componentsoffer the possibility to radically change the behaviors and services offered by an application bysubstitution or addition of new components, even a long time after deployment. Software testing isanother aspect of reliable development. Testing activities mainly consist in ensuring that a systemimplementation conforms to its specifications.

  2. Bayesian grid matching

    DEFF Research Database (Denmark)

    Hartelius, Karsten; Carstensen, Jens Michael

    2003-01-01

    nodes and the arc prior models variations in row and column spacing across the grid. Grid matching is done by placing an initial rough grid over the image and applying an ensemble annealing scheme to maximize the posterior distribution of the grid. The method can be applied to noisy images with missing...... grid nodes and grid-node artifacts and the method accommodates a wide range of grid distortions including: large-scale warping, varying row/column spacing, as well as nonrigid random fluctuations of the grid nodes. The methodology is demonstrated in two case studies concerning (1) localization of DNA...

  3. Transgenic approach to express the channelrhodopsin 2 gene in arginine vasopressin neurons of rats.

    Science.gov (United States)

    Ishii, Masahiro; Hashimoto, Hirofumi; Ohkubo, Jun-Ichi; Ohbuchi, Toyoaki; Saito, Takeshi; Maruyama, Takashi; Yoshimura, Mitsuhiro; Yamamoto, Yukiyo; Kusuhara, Koichi; Ueta, Yoichi

    2016-09-01

    Optogenetics provides a powerful tool to regulate neuronal activity by light-sensitive ion channels such as channelrhodopsin 2 (ChR2). Arginine vasopressin (AVP; also known as the anti-diuretic hormone) is a multifunctional hormone which is synthesized in the magnocellular neurosecretory cells (MNCs) of the hypothalamus. Here, we have generated a transgenic rat that expresses an AVP-ChR2-enhanced green fluorescent protein (eGFP) fusion gene in the MNCs of the hypothalamus. The eGFP fluorescence that indicates the expression of ChR2-eGFP was observed in the supraoptic nucleus (SON) and in the magnocellular division of the paraventricular nucleus (PVN) that is known to contain AVP-secreting neurons. The eGFP fluorescence intensities in those nuclei and posterior pituitary were markedly increased after chronic salt loading (2% NaCl in drinking water for 5days). ChR2-eGFP was localized mainly in the membrane of AVP-positive MNCs. Whole-cell patch-clamp recordings were performed from single MNCs isolated from the SON of the transgenic rats, and blue light evoked repetitive action potentials. Our work provides for the first time an optogenetic approach to selectively activate AVP neurons in the rat. PMID:27493075

  4. Tabu optimization for matched field inversion

    Science.gov (United States)

    Michalopoulou, Zoi-Heleni; Ghosh-Dastidar, Urmi

    2002-11-01

    Matched field processing is a powerful tool for source localization and geoacoustic inversion. Because of significant environmental and geometry uncertainties, however, matched field processing usually involves multiparameter searches. To facilitate these searches, global optimization techniques such as genetic algorithms and simulated annealing have been successfully employed. In this work, a different approach, tabu, is implemented for optimization in matched field inversion. Tabu is a technique relying on the use of memory; it searches for the global maximum of the objective function through a navigation process that avoids already revisited models, also making use of aspiration criteria and diversification for faster convergence. The tabu performance in localization and geoacoustic inversion is demonstrated through experimentation with both synthetic and real (SWellEX 96) data. The approach is shown to provide reliable estimates in an efficient manner. [Work supported by ONR.

  5. High-speed segmentation-driven high-resolution matching

    Science.gov (United States)

    Ekstrand, Fredrik; Ahlberg, Carl; Ekström, Mikael; Spampinato, Giacomo

    2015-02-01

    This paper proposes a segmentation-based approach for matching of high-resolution stereo images in real time. The approach employs direct region matching in a raster scan fashion influenced by scanline approaches, but with pixel decoupling. To enable real-time performance it is implemented as a heterogeneous system of an FPGA and a sequential processor. Additionally, the approach is designed for low resource usage in order to qualify as part of unified image processing in an embedded system.

  6. Multinomial pattern matching revisited

    Science.gov (United States)

    Horvath, Matthew S.; Rigling, Brian D.

    2015-05-01

    Multinomial pattern matching (MPM) is an automatic target recognition algorithm developed for specifically radar data at Sandia National Laboratories. The algorithm is in a family of algorithms that first quantizes pixel value into Nq bins based on pixel amplitude before training and classification. This quantization step reduces the sensitivity of algorithm performance to absolute intensity variation in the data, typical of radar data where signatures exhibit high variation for even small changes in aspect angle. Our previous work has focused on performance analysis of peaky template matching, a special case of MPM where binary quantization is used (Nq = 2). Unfortunately references on these algorithms are generally difficult to locate and here we revisit the MPM algorithm and illustrate the underlying statistical model and decision rules for two algorithm interpretations: the 1-of-K vector form and the scalar. MPM can also be used as a detector and specific attention is given to algorithm tuning where "peak pixels" are chosen based on their underlying empirical probabilities according to a reward minimization strategy aimed at reducing false alarms in the detection scenario and false positives in a classification capacity. The algorithms are demonstrated using Monte Carlo simulations on the AFRL civilian vehicle dataset for variety of choices of Nq.

  7. Matching pursuit of images

    Science.gov (United States)

    Bergeaud, Francois; Mallat, Stephane G.

    1995-04-01

    A crucial problem in image analysis is to construct efficient low-level representations of an image, providing precise characterization of features which compose it, such as edges and texture components. An image usually contains very different types of features, which have been successfully modeled by the very redundant family of 2D Gabor oriented wavelets, describing the local properties of the image: localization, scale, preferred orientation, amplitude and phase of the discontinuity. However, this model generates representations of very large size. Instead of decomposing a given image over this whole set of Gabor functions, we use an adaptive algorithm (called matching pursuit) to select the Gabor elements which approximate at best the image, corresponding to the main features of the image. This produces compact representation in terms of few features that reveal the local image properties. Results prove that the elements are precisely localized on the edges of the images, and give a local decomposition as linear combinations of `textons' in the textured regions. We introduce a fast algorithm to compute the matching pursuit decomposition for images with a complexity of (Omicron) (N log2 N) per iteration for an image of N2 pixels.

  8. Robust matching for voice recognition

    Science.gov (United States)

    Higgins, Alan; Bahler, L.; Porter, J.; Blais, P.

    1994-10-01

    This paper describes an automated method of comparing a voice sample of an unknown individual with samples from known speakers in order to establish or verify the individual's identity. The method is based on a statistical pattern matching approach that employs a simple training procedure, requires no human intervention (transcription, work or phonetic marketing, etc.), and makes no assumptions regarding the expected form of the statistical distributions of the observations. The content of the speech material (vocabulary, grammar, etc.) is not assumed to be constrained in any way. An algorithm is described which incorporates frame pruning and channel equalization processes designed to achieve robust performance with reasonable computational resources. An experimental implementation demonstrating the feasibility of the concept is described.

  9. Gene

    Data.gov (United States)

    U.S. Department of Health & Human Services — Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes,...

  10. Revisiting the Concept of "Style Match"

    Science.gov (United States)

    Zhang, Li-fang; Sternberg, Robert J.; Fan, Jieqiong

    2013-01-01

    Background: Intellectual style, an encompassing term for such constructs as learning style, teaching style, teaching approach, and thinking style, refers to one's preferred way of processing information. For the past several decades, whether or not there is a need for a match between teachers' teaching styles and students' learning styles has been…

  11. Antitumor Effect of IP-10 by Using Two Different Approaches: Live Delivery System and Gene Therapy

    Science.gov (United States)

    Taslimi, Yasaman; Zahedifard, Farnaz; Habibzadeh, Sima; Taheri, Tahereh; Abbaspour, Hossain; Sadeghipour, Alireza

    2016-01-01

    Purpose Immunotherapy is one of the treatment strategies for breast cancer, the most common cancer in women worldwide. In this approach, the patient's immune system is stimulated to attack microscopic tumors and control metastasis. Here, we used interferon γ-induced protein 10 (IP-10), which induces and strengthens antitumor immunity, as an immunotherapeutic agent. We employed Leishmania tarentolae, a nonpathogenic lizard parasite that lacks the ability to persist in mammalian macrophages, was used as a live delivery system for carrying the immunotherapeutic agent. It has been already shown that arginase activity, and consequently, polyamine production, are associated with tumor progression. Methods A live delivery system was constructed by stable transfection of pLEXSY plasmid containing the IP-10-enhanced green fluorescent protein (IP-10-egfp) fusion gene into L. tarentolae. Then, the presence of the IP-10-egfp gene and the accurate integration location into the parasite genome were confirmed. The therapeutic efficacy of IP-10 delivered via L. tarentolae and recombinant pcDNA-(IP-10-egfp) plasmid was compared by determining the arginase activity in a mouse 4T1 breast cancer model. Results The pcDNA-(IP-10-egfp) group showed a significant reduction in tumor weight and growth. Histological evaluation also revealed that only this group demonstrated inhibition of metastasis to the lung tissue. The arginase activity in the tissue of the pcDNA-(IP-10-egfp) mice significantly decreased in comparison with that in normal mice. No significant difference was observed in arginase activity in the sera of mice receiving other therapeutic strategies. Conclusion Our data indicates that IP-10 immunotherapy is a promising strategy for breast cancer treatment, as shown in the 4T1-implanted BALB/c mouse model. However, the L. tarentolae-(IP-10-EGFP) live delivery system requires dose modifications to achieve efficacy in the applied regimen (six injections in 3 weeks). Our results

  12. Adeno-Associated Virus-Mediated Gene Transfer to Renal Tubule Cells via a Retrograde Ureteral Approach

    Directory of Open Access Journals (Sweden)

    Daniel C. Chung

    2011-11-01

    Full Text Available Background/Aims: Gene therapy involves delivery of exogenous DNA to provide a therapeutic protein. Ideally, a gene therapy vector should be non-toxic, non-immunogenic, easy to produce, and efficient in protecting and delivering DNA into target cells. Methods: Adeno-associated virus (AAV offers these advantages and few, if any, disadvantages, and over 100 isolates exist. We previously showed that AAV-mediated gene therapy can be used to restore vision to patients with Leber’s congenital amaurosis, a disease of childhood blindness. Results: Here we show that novel recombinant AAV2/8 and AAV2/9 transduce kidney tubule cells with high efficiency both in vitroin cell culture and in vivoin mice. In addition, we adapted and modified a retrograde approach to allow for optimal transgene delivery to renal tubular cells that further minimizes the risk of an immunogenic reaction. Conclusions: We believe that recombinant AAV2, especially AAV2/8, gene delivery to renal tubule cells via a retrograde approach represents a viable method for gene therapy for a multitude of renal disorders ranging from autosomal dominant polycystic kidney disease to acute kidney injury.

  13. Quantity precommitment and price matching

    DEFF Research Database (Denmark)

    Tumennasan, Norovsambuu

    We revisit the question of whether price matching is anti-competitive in a capacity constrained duopoly setting. We show that the effect of price matching depends on capacity. Specifically, price matching has no effect when capacity is relatively low, but it benefits the firms when capacity is...... relatively high. Interestingly, when capacity is in an intermediate range, price matching benefits only the small firm but does not affect the large firm in any way. Therefore, one has to consider capacity seriously when evaluating if price matching is anti-competitive. If the firms choose their capacities...... simultaneously before pricing decisions, then the effect of price matching is either pro-competitive or ambiguous. We show that if the cost of capacity is high, then price matching can only (weakly) decrease the market price. On the other hand, if the cost of capacity is low, then the effect of price matching on...

  14. Anatomy Ontology Matching Using Markov Logic Networks

    OpenAIRE

    Li, Chunhua; Zhao, Pengpeng; Wu, Jian; Cui, Zhiming

    2016-01-01

    The anatomy of model species is described in ontologies, which are used to standardize the annotations of experimental data, such as gene expression patterns. To compare such data between species, we need to establish relationships between ontologies describing different species. Ontology matching is a kind of solutions to find semantic correspondences between entities of different ontologies. Markov logic networks which unify probabilistic graphical model and first-order logic provide an exc...

  15. From essential to persistent genes: a functional approach to constructing synthetic life

    Science.gov (United States)

    Acevedo-Rocha, Carlos G.; Fang, Gang; Schmidt, Markus; Ussery, David W.; Danchin, Antoine

    2013-01-01

    A central undertaking in synthetic biology (SB) is the quest for the ‘minimal genome’. However, ‘minimal sets’ of essential genes are strongly context-dependent and, in all prokaryotic genomes sequenced to date, not a single protein-coding gene is entirely conserved. Furthermore, a lack of consensus in the field as to what attributes make a gene truly essential adds another aspect of variation. Thus, a universal minimal genome remains elusive. Here, as an alternative to defining a minimal genome, we propose that the concept of gene persistence can be used to classify genes needed for robust long-term survival. Persistent genes, although not ubiquitous, are conserved in a majority of genomes, tend to be expressed at high levels, and are frequently located on the leading DNA strand. These criteria impose constraints on genome organization, and these are important considerations for engineering cells and for creating cellular life-like forms in SB. PMID:23219343

  16. Active Learning for Matching Problems

    OpenAIRE

    Charlin, Laurent; Zemel, Rich; Boutilier, Craig

    2012-01-01

    Effective learning of user preferences is critical to easing user burden in various types of matching problems. Equally important is active query selection to further reduce the amount of preference information users must provide. We address the problem of active learning of user preferences for matching problems, introducing a novel method for determining probabilistic matchings, and developing several new active learning strategies that are sensitive to the specific matching objective. Expe...

  17. Background knowledge in ontology matching

    OpenAIRE

    Giunchiglia, Fausto; Shvaiko, Pavel; Yatskevich, Mikalai

    2007-01-01

    Ontology matching is a critical operation in many well-known metadata intensive applications, such as data integration and peer-to-peer information sharing. Typically, heterogeneity in these applications is reduced in two steps: (i) matching ontologies to determine correspondences and (ii) executing correspondences according to an application needs (e.g., data translation). In this position statement paper we focus only on the first, i.e., matching step. In particular, we think of matching as...

  18. A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related

    Directory of Open Access Journals (Sweden)

    Vasieva Olga

    2011-01-01

    Full Text Available Abstract Background The ageing of the worldwide population means there is a growing need for research on the biology of ageing. DNA damage is likely a key contributor to the ageing process and elucidating the role of different DNA repair systems in ageing is of great interest. In this paper we propose a data mining approach, based on classification methods (decision trees and Naive Bayes, for analysing data about human DNA repair genes. The goal is to build classification models that allow us to discriminate between ageing-related and non-ageing-related DNA repair genes, in order to better understand their different properties. Results The main patterns discovered by the classification methods are as follows: (a the number of protein-protein interactions was a predictor of DNA repair proteins being ageing-related; (b the use of predictor attributes based on protein-protein interactions considerably increased predictive accuracy of attributes based on Gene Ontology (GO annotations; (c GO terms related to "response to stimulus" seem reasonably good predictors of ageing-relatedness for DNA repair genes; (d interaction with the XRCC5 (Ku80 protein is a strong predictor of ageing-relatedness for DNA repair genes; and (e DNA repair genes with a high expression in T lymphocytes are more likely to be ageing-related. Conclusions The above patterns are broadly integrated in an analysis discussing relations between Ku, the non-homologous end joining DNA repair pathway, ageing and lymphocyte development. These patterns and their analysis support non-homologous end joining double strand break repair as central to the ageing-relatedness of DNA repair genes. Our work also showcases the use of protein interaction partners to improve accuracy in data mining methods and our approach could be applied to other ageing-related pathways.

  19. Exploring potential new floral organ morphogenesis genes of Arabidopsis thaliana using systems biology approach

    OpenAIRE

    Xie, Wenchuan; Huang, Junfeng; Liu, Yang; Rao, Jianan; Luo, Da; He, Miao

    2015-01-01

    Flowering is one of the important defining features of angiosperms. The initiation of flower development and the formation of different floral organs are the results of the interplays among numerous genes. But until now, just fewer genes have been found linked with flower development. And the functions of lots of genes of Arabidopsis thaliana are still unknown. Although, the quartet model successfully simplified the ABCDE model to elaborate the molecular mechanism by introducing protein-prote...

  20. Prospecting Metagenomic Enzyme Subfamily Genes for DNA Family Shuffling by a Novel PCR-based Approach*

    OpenAIRE

    Wang, Qiuyan; Wu, Huili; Wang, Anming; Du, Pengfei; Pei, Xiaolin; Li, Haifeng; Yin, Xiaopu; Huang, Lifeng; Xiong, Xiaolong

    2010-01-01

    DNA family shuffling is a powerful method for enzyme engineering, which utilizes recombination of naturally occurring functional diversity to accelerate laboratory-directed evolution. However, the use of this technique has been hindered by the scarcity of family genes with the required level of sequence identity in the genome database. We describe here a strategy for collecting metagenomic homologous genes for DNA shuffling from environmental samples by truncated metagenomic gene-specific PCR...

  1. A multi-gene transcriptional profiling approach to the discovery of cell signature markers

    OpenAIRE

    Wada, Youichiro; Li, Dan; Merley, Anne; Zukauskas, Andrew; Aird, William C.; Dvorak, Harold F.; Shih, Shou-Ching

    2010-01-01

    A profile of transcript abundances from multiple genes constitutes a molecular signature if the expression pattern is unique to one cell type. Here we measure mRNA copy numbers per cell by normalizing per million copies of 18S rRNA and identify 6 genes (TIE1, KDR, CDH5, TIE2, EFNA1 and MYO5C) out of 79 genes tested as excellent molecular signature markers for endothelial cells (ECs) in vitro. The selected genes are uniformly expressed in ECs of 4 different origins but weakly or not expressed ...

  2. Matching Games with Additive Externalities

    DEFF Research Database (Denmark)

    Branzei, Simina; Michalak, Tomasz; Rahwan, Talal;

    2012-01-01

    fully expressive representations of externalities in matchings require exponential space, in this paper we propose a compact model of externalities, in which the influence of a match on each agent is computed additively. In this framework, we analyze many-to-many and one-to-one matchings under neutral...

  3. Genetic transformation of the tomato pathogen Pyrenochaeta lycopersici allowed gene knockout using a split-marker approach.

    Science.gov (United States)

    Aragona, Maria; Valente, Maria Teresa

    2015-05-01

    Pyrenochaeta lycopersici, as other soil-transmitted fungal pathogens, generally received little attention compared to the pathogens affecting the aerial parts of the plants, although causing stunt and important fruit yield reduction of agronomic relevant crops. The scope of this study was to develop a system allowing to investigate the functional role of P. lycopersici genes putatively involved in the corky root rot of tomato. A genetic transformation system based on a split-marker approach was developed and tested to knock out a P. lycopersici gene encoding for a lytic polysaccharide monooxygenase (Plegl1) induced during the disease development. The regions flanking Plegl1 gene were fused with the overlapping parts of hygromycin marker gene, to favour homologous recombination. We were able to obtain four mutants not expressing the Plegl1 gene though, when tested on a susceptible tomato cultivar, Plegl1 mutants showed unaltered virulence, compared with the wild-type strain. The strategy illustrated in the present work demonstrated for the first time that homologous recombination occurs in P. lycopersici. Moreover, a transformation system mediated by Agrobacterium tumefaciens was established and stable genetic transformants have been obtained. The transformation systems developed represent important tools for investigating both the role of genes putatively involved in P. lycopersici interaction with host plant and the function of other physiological traits which emerged to be genetically expanded from the recent genome sequencing of this fungus. PMID:25413737

  4. Multi-image semi-global matching in object space

    Science.gov (United States)

    Bethmann, F.; Luhmann, T.

    2015-05-01

    Semi-Global Matching (SGM) is a widespread algorithm for image matching which is used for very different applications, ranging from real-time applications (e.g. for generating 3D data for driver assistance systems) to aerial image matching. Originally developed for stereo-image matching, several extensions have been proposed to use more than two images within the matching process (multi-baseline matching, multi-view stereo). These extensions still perform the image matching in (rectified) stereo images and combine the pairwise results afterwards to create the final solution. This paper proposes an alternative approach which is suitable for the introduction of an arbitrary number of images into the matching process and utilizes image matching by using non-rectified images. The new method differs from the original SGM method mainly in two aspects: Firstly, the cost calculation is formulated in object space within a dense voxel raster by using the grey (or colour) values of all images instead of pairwise cost calculation in image space. Secondly, the semi-global (path-wise) minimization process is transferred into object space as well, so that the result of semi-global optimization leads to index maps (instead of disparity maps) which directly indicate the 3D positions of the best matches. Altogether, this yields to an essential simplification of the matching process compared to multi-view stereo (MVS) approaches. After a description of the new method, results achieved from two different datasets (close-range and aerial) are presented and discussed.

  5. An efficient approach to finding Siraitia grosvenorii triterpene biosynthetic genes by RNA-seq and digital gene expression analysis

    Directory of Open Access Journals (Sweden)

    Song Cai

    2011-07-01

    Full Text Available Abstract Background Siraitia grosvenorii (Luohanguo is an herbaceous perennial plant native to southern China and most prevalent in Guilin city. Its fruit contains a sweet, fleshy, edible pulp that is widely used in traditional Chinese medicine. The major bioactive constituents in the fruit extract are the cucurbitane-type triterpene saponins known as mogrosides. Among them, mogroside V is nearly 300 times sweeter than sucrose. However, little is known about mogrosides biosynthesis in S. grosvenorii, especially the late steps of the pathway. Results In this study, a cDNA library generated from of equal amount of RNA taken from S. grosvenorii fruit at 50 days after flowering (DAF and 70 DAF were sequenced using Illumina/Solexa platform. More than 48,755,516 high-quality reads from a cDNA library were generated that was assembled into 43,891 unigenes. De novo assembly and gap-filling generated 43,891 unigenes with an average sequence length of 668 base pairs. A total of 26,308 (59.9% unique sequences were annotated and 11,476 of the unique sequences were assigned to specific metabolic pathways by the Kyoto Encyclopedia of Genes and Genomes. cDNA sequences for all of the known enzymes involved in mogrosides backbone synthesis were identified from our library. Additionally, a total of eighty-five cytochrome P450 (CYP450 and ninety UDP-glucosyltransferase (UDPG unigenes were identified, some of which appear to encode enzymes responsible for the conversion of the mogroside backbone into the various mogrosides. Digital gene expression profile (DGE analysis using Solexa sequencing was performed on three important stages of fruit development, and based on their expression pattern, seven CYP450s and five UDPGs were selected as the candidates most likely to be involved in mogrosides biosynthesis. Conclusion A combination of RNA-seq and DGE analysis based on the next generation sequencing technology was shown to be a powerful method for identifying

  6. A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer

    Directory of Open Access Journals (Sweden)

    Leckie Christopher

    2010-09-01

    Full Text Available Abstract Background In the study of cancer genomics, gene expression microarrays, which measure thousands of genes in a single assay, provide abundant information for the investigation of interesting genes or biological pathways. However, in order to analyze the large number of noisy measurements in microarrays, effective and efficient bioinformatics techniques are needed to identify the associations between genes and relevant phenotypes. Moreover, systematic tests are needed to validate the statistical and biological significance of those discoveries. Results In this paper, we develop a robust and efficient method for exploratory analysis of microarray data, which produces a number of different orderings (rankings of both genes and samples (reflecting correlation among those genes and samples. The core algorithm is closely related to biclustering, and so we first compare its performance with several existing biclustering algorithms on two real datasets - gastric cancer and lymphoma datasets. We then show on the gastric cancer data that the sample orderings generated by our method are highly statistically significant with respect to the histological classification of samples by using the Jonckheere trend test, while the gene modules are biologically significant with respect to biological processes (from the Gene Ontology. In particular, some of the gene modules associated with biclusters are closely linked to gastric cancer tumorigenesis reported in previous literature, while others are potentially novel discoveries. Conclusion In conclusion, we have developed an effective and efficient method, Bi-Ordering Analysis, to detect informative patterns in gene expression microarrays by ranking genes and samples. In addition, a number of evaluation metrics were applied to assess both the statistical and biological significance of the resulting bi-orderings. The methodology was validated on gastric cancer and lymphoma datasets.

  7. Normal ECG Recognition for Express-Diagnostics Based on Scale-Space Representation and Dynamic Matching

    OpenAIRE

    Bilous, Nataliya; Bondarenko, Michael; Kobzar, Gleb; Krasov, Alexey; Rogozyanov, Artyom

    2008-01-01

    A novel approach of normal ECG recognition based on scale-space signal representation is proposed. The approach utilizes curvature scale-space signal representation used to match visual objects shapes previously and dynamic programming algorithm for matching CSS representations of ECG signals. Extraction and matching processes are fast and experimental results show that the approach is quite robust for preliminary normal ECG recognition.

  8. A Systems Genetics Approach Identifies Gene Regulatory Networks Associated with Fatty Acid Composition in Brassica rapa Seed.

    Science.gov (United States)

    Basnet, Ram Kumar; Del Carpio, Dunia Pino; Xiao, Dong; Bucher, Johan; Jin, Mina; Boyle, Kerry; Fobert, Pierre; Visser, Richard G F; Maliepaard, Chris; Bonnema, Guusje

    2016-01-01

    Fatty acids in seeds affect seed germination and seedling vigor, and fatty acid composition determines the quality of seed oil. In this study, quantitative trait locus (QTL) mapping of fatty acid and transcript abundance was integrated with gene network analysis to unravel the genetic regulation of seed fatty acid composition in a Brassica rapa doubled haploid population from a cross between a yellow sarson oil type and a black-seeded pak choi. The distribution of major QTLs for fatty acids showed a relationship with the fatty acid types: linkage group A03 for monounsaturated fatty acids, A04 for saturated fatty acids, and A05 for polyunsaturated fatty acids. Using a genetical genomics approach, expression quantitative trait locus (eQTL) hotspots were found at major fatty acid QTLs on linkage groups A03, A04, A05, and A09. An eQTL-guided gene coexpression network of lipid metabolism-related genes showed major hubs at the genes BrPLA2-ALPHA, BrWD-40, a number of seed storage protein genes, and the transcription factor BrMD-2, suggesting essential roles for these genes in lipid metabolism. Three subnetworks were extracted for the economically important and most abundant fatty acids erucic, oleic, linoleic, and linolenic acids. Network analysis, combined with comparison of the genome positions of cis- or trans-eQTLs with fatty acid QTLs, allowed the identification of candidate genes for genetic regulation of these fatty acids. The generated insights in the genetic architecture of fatty acid composition and the underlying complex gene regulatory networks in B. rapa seeds are discussed. PMID:26518343

  9. A system biology approach highlights a hormonal enhancer effect on regulation of genes in a nitrate responsive "biomodule"

    Directory of Open Access Journals (Sweden)

    Nero Damion

    2009-06-01

    Full Text Available Abstract Background Nitrate-induced reprogramming of the transcriptome has recently been shown to be highly context dependent. Herein, a systems biology approach was developed to identify the components and role of cross-talk between nitrate and hormone signals, likely to be involved in the conditional response of NO3- signaling. Results Biclustering was used to identify a set of genes that are N-responsive across a range of Nitrogen (N-treatment backgrounds (i.e. nitrogen treatments under different growth conditions using a meta-dataset of 76 Affymetrix ATH1 chips from 5 different laboratories. Twenty-one biclusters were found to be N-responsive across subsets of this meta-dataset. N-bicluster 9 (126 genes was selected for further analysis, as it was shown to be reproducibly responsive to NO3- as a signal, across a wide-variety of background conditions and datasets. N-bicluster 9 genes were then used as "seed" to identify putative cross-talk mechanisms between nitrate and hormone signaling. For this, the 126 nitrate-regulated genes in N-bicluster 9 were biclustered over a meta-dataset of 278 ATH1 chips spanning a variety of hormone treatments. This analysis divided the bicluster 9 genes into two classes: i genes controlled by NO3- only vs. ii genes controlled by both NO3- and hormones. The genes in the latter group showed a NO3- response that is significantly enhanced, compared to the former. In silico analysis identified two Cis-Regulatory Elements candidates (CRE (E2F, HSE potentially involved the interplay between NO3- and hormonal signals. Conclusion This systems analysis enabled us to derive a hypothesis in which hormone signals are proposed to enhance the nitrate response, providing a potential mechanistic explanation for the link between nitrate signaling and the control of plant development.

  10. a New Paradigm for Matching - and Aerial Images

    Science.gov (United States)

    Koch, T.; Zhuo, X.; Reinartz, P.; Fraundorfer, F.

    2016-06-01

    This paper investigates the performance of SIFT-based image matching regarding large differences in image scaling and rotation, as this is usually the case when trying to match images captured from UAVs and airplanes. This task represents an essential step for image registration and 3d-reconstruction applications. Various real world examples presented in this paper show that SIFT, as well as A-SIFT perform poorly or even fail in this matching scenario. Even if the scale difference in the images is known and eliminated beforehand, the matching performance suffers from too few feature point detections, ambiguous feature point orientations and rejection of many correct matches when applying the ratio-test afterwards. Therefore, a new feature matching method is provided that overcomes these problems and offers thousands of matches by a novel feature point detection strategy, applying a one-to-many matching scheme and substitute the ratio-test by adding geometric constraints to achieve geometric correct matches at repetitive image regions. This method is designed for matching almost nadir-directed images with low scene depth, as this is typical in UAV and aerial image matching scenarios. We tested the proposed method on different real world image pairs. While standard SIFT failed for most of the datasets, plenty of geometrical correct matches could be found using our approach. Comparing the estimated fundamental matrices and homographies with ground-truth solutions, mean errors of few pixels can be achieved.

  11. From essential to persistent genes: a functional approach to constructing synthetic life

    DEFF Research Database (Denmark)

    Acevedo-Rocha, Carlos G.; Fang, Gang; Schmidt, Markus;

    2013-01-01

    A central undertaking in synthetic biology (SB) is the quest for the ‘minimal genome’. However, ‘minimal sets’ of essential genes are strongly context-dependent and, in all prokaryotic genomes sequenced to date, not a single protein-coding gene is entirely conserved. Furthermore, a lack of consen...

  12. A PSO-Based Approach for Pathway Marker Identification From Gene Expression Data.

    Science.gov (United States)

    Mandal, Monalisa; Mondal, Jyotirmay; Mukhopadhyay, Anirban

    2015-09-01

    In this article, a new and robust pathway activity inference scheme is proposed from gene expression data using Particle Swarm Optimization (PSO). From microarray gene expression data, the corresponding pathway information of the genes are collected from a public database. For identifying the pathway markers, the expression values of each pathway consisting of genes, termed as pathway activity, are summarized. To measure the goodness of a pathway activity vector, t-score is widely used in the existing literature. The weakness of existing techniques for inferring pathway activity is that they intend to consider all the member genes of a pathway. But in reality, all the member genes may not be significant to the corresponding pathway. Therefore, those genes, which are responsible in the corresponding pathway, should be included only. Motivated by this, in the proposed method, using PSO, important genes with respect to each pathway are identified. The objective is to maximize the average t-score. For the pathway activities inferred from different percentage of significant pathways, the average absolute t -scores are plotted. In addition, the top 50% pathway markers are evaluated using 10-fold cross validation and its performance is compared with that of other existing techniques. Biological relevance of the results is also studied. PMID:25935045

  13. Gene-Environment Interactions in Genome-Wide Association Studies: Current Approaches and New Directions

    Science.gov (United States)

    Winham, Stacey J.; Biernacka, Joanna M.

    2013-01-01

    Background: Complex psychiatric traits have long been thought to be the result of a combination of genetic and environmental factors, and gene-environment interactions are thought to play a crucial role in behavioral phenotypes and the susceptibility and progression of psychiatric disorders. Candidate gene studies to investigate hypothesized…

  14. Exploring potential new floral organ morphogenesis genes of Arabidopsis thaliana using systems biology approach.

    Science.gov (United States)

    Xie, Wenchuan; Huang, Junfeng; Liu, Yang; Rao, Jianan; Luo, Da; He, Miao

    2015-01-01

    Flowering is one of the important defining features of angiosperms. The initiation of flower development and the formation of different floral organs are the results of the interplays among numerous genes. But until now, just fewer genes have been found linked with flower development. And the functions of lots of genes of Arabidopsis thaliana are still unknown. Although, the quartet model successfully simplified the ABCDE model to elaborate the molecular mechanism by introducing protein-protein interactions (PPIs). We still don't know much about several important aspects of flower development. So we need to discriminate even more genes involving in the flower development. In this study, we identified seven differentially modules through integrating the weighted gene co-expression network analysis (WGCNA) and Support Vector Machine (SVM) method to analyze co-expression network and PPIs using the public floral and non-floral expression profiles data of Arabidopsis thaliana. Gene set enrichment analysis was used for the functional annotation of the related genes, and some of the hub genes were identified in each module. The potential floral organ morphogenesis genes of two significant modules were integrated with PPI information in order to detail the inherent regulation mechanisms. Finally, the functions of the floral patterning genes were elucidated by combining the PPI and evolutionary information. It was indicated that the sub-networks or complexes, rather than the genes, were the regulation unit of flower development. We found that the most possible potential new genes underlining the floral pattern formation in A. thaliana were FY, CBL2, ZFN3, and AT1G77370; among them, FY, CBL2 acted as an upstream regulator of AP2; ZFN3 activated the flower primordial determining gene AP1 and AP2 by HY5/HYH gene via photo induction possibly. And AT1G77370 exhibited similar function in floral morphogenesis, same as ELF3. It possibly formed a complex between RFC3 and RPS15 in

  15. Exploring potential new floral organ morphogenesis genes of Arabidopsis thaliana using systems biology approach

    Directory of Open Access Journals (Sweden)

    Wenchuan eXie

    2015-10-01

    Full Text Available Flowering is one of the important defining features of angiosperms. The initiation of flower development and the formation of different floral organs are the results of the interplays among numerous genes. But until now, just fewer genes have been found linked with flower development. And the functions of lots of genes of Arabidopsis thaliana are still unknown. Although, the quartet model successfully simplified the ABCDE model to elaborate the molecular mechanism by introducing protein-protein interactions (PPIs. We still don't know much about several important aspects of flower development. So we need to discriminate even more genes involving in the flower development. In this study, we identified seven differentially modules through integrating the weighted gene co-expression network analysis (WGCNA and Support Vector Machine (SVM method to analyze co-expression network and PPIs using the public floral and non-floral expression profiles data of Arabidopsis thaliana. Gene set enrichment analysis was used for the functional annotation of the related genes, and some of the hub genes were identified in each module. The potential floral organ morphogenesis genes of two significant modules were integrated with PPI information in order to detail the inherent regulation mechanisms. Finally, the functions of the floral patterning genes were elucidated by combining the PPI and evolutionary information. It was indicated that the sub-networks or complexes, rather than the genes, were the regulation unit of flower development. We found that the most possible potential new genes underlining the floral pattern formation in A. thaliana were FY, CBL2, ZFN3 and AT1G77370; among them, FY, CBL2 acted as an upstream regulator of AP2; ZFN3 activated the flower primordial determining gene AP1 and AP2 by HY5/HYH gene via photo induction possibly. And AT1G77370 exhibited similar function in floral morphogenesis, same as ELF3. It possibly formed a complex between RFC3

  16. Correlating overrepresented upstream motifs to gene expression a computational approach to regulatory element discovery in eukaryotes

    CERN Document Server

    Caselle, M; Provero, P

    2002-01-01

    Gene regulation in eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We present a novel computational method to identify regulatory elements in the upstream region of eukaryotic genes. The genes are grouped in sets sharing an overrepresented short motif in their upstream sequence. For each set, the average expression level from a microarray experiment is determined: If this level is significantly higher or lower than the average taken over the whole genome, then the overerpresented motif shared by the genes in the set is likely to play a role in their regulation. The method was tested by applying it to the genome of Saccharomyces cerevisiae, using the publicly available results of a DNA microarray experiment, in which expression levels for virtually all the genes were measured during the diauxic shift from fermentation to respiration. Several known motifs were correctly identified, and a new candidate regulat...

  17. A new experimental approach for studying bacterial genomic island evolution identifies island genes with bacterial host-specific expression patterns

    Directory of Open Access Journals (Sweden)

    Nickerson Cheryl A

    2006-01-01

    Full Text Available Abstract Background Genomic islands are regions of bacterial genomes that have been acquired by horizontal transfer and often contain blocks of genes that function together for specific processes. Recently, it has become clear that the impact of genomic islands on the evolution of different bacterial species is significant and represents a major force in establishing bacterial genomic variation. However, the study of genomic island evolution has been mostly performed at the sequence level using computer software or hybridization analysis to compare different bacterial genomic sequences. We describe here a novel experimental approach to study the evolution of species-specific bacterial genomic islands that identifies island genes that have evolved in such a way that they are differentially-expressed depending on the bacterial host background into which they are transferred. Results We demonstrate this approach by using a "test" genomic island that we have cloned from the Salmonella typhimurium genome (island 4305 and transferred to a range of Gram negative bacterial hosts of differing evolutionary relationships to S. typhimurium. Systematic analysis of the expression of the island genes in the different hosts compared to proper controls allowed identification of genes with genera-specific expression patterns. The data from the analysis can be arranged in a matrix to give an expression "array" of the island genes in the different bacterial backgrounds. A conserved 19-bp DNA site was found upstream of at least two of the differentially-expressed island genes. To our knowledge, this is the first systematic analysis of horizontally-transferred genomic island gene expression in a broad range of Gram negative hosts. We also present evidence in this study that the IS200 element found in island 4305 in S. typhimurium strain LT2 was inserted after the island had already been acquired by the S. typhimurium lineage and that this element is likely not

  18. An Integrated Method for GML Application Schema Match

    Science.gov (United States)

    Li, Chao; Zeng, Xiao; Xiong, Zhang

    GML has been a standard in geographical information area for enhancing the interoperability of various GIS systems for data mining. In order to share geography information based on GML, problems in application schema match need to be overcome first. This paper introduces an integrated multi-strategy approach on GML application schema match. It combines existing scheme match algorithm with GML3.0 application schema. Firstly, it transforms the input GML application schemas into a GSTree according to linguistic-based and constraint-based match rules. Similarity between two elements is calculated trough different rules separately, and merged into element-level similarity. Secondly, the element-level similarity is rectified by a structure-level match algorithm based on similarity flooding. Finally, the mapping table of GML application schema elements is obtained. The experiment result shows that the approach can effectively discovery the similarity of schema elements, and improve the match results with a high degree of accuracy.

  19. A multi-gene transcriptional profiling approach to the discovery of cell signature markers.

    Science.gov (United States)

    Wada, Youichiro; Li, Dan; Merley, Anne; Zukauskas, Andrew; Aird, William C; Dvorak, Harold F; Shih, Shou-Ching

    2011-01-01

    A profile of transcript abundances from multiple genes constitutes a molecular signature if the expression pattern is unique to one cell type. Here we measure mRNA copy numbers per cell by normalizing per million copies of 18S rRNA and identify 6 genes (TIE1, KDR, CDH5, TIE2, EFNA1 and MYO5C) out of 79 genes tested as excellent molecular signature markers for endothelial cells (ECs) in vitro. The selected genes are uniformly expressed in ECs of 4 different origins but weakly or not expressed in 4 non-EC cell lines. A multi-gene transcriptional profile of these 6 genes clearly distinguishes ECs from non-ECs in vitro. We conclude that (i) a profile of mRNA copy numbers per cell from a well-chosen multi-gene panel can act as a sensitive and accurate cell type signature marker, and (ii) the method described here can be applied to in vivo cell fingerprinting and molecular diagnosis. PMID:20972619

  20. Quantum image matching

    Science.gov (United States)

    Jiang, Nan; Dang, Yijie; Wang, Jian

    2016-06-01

    Quantum image processing (QIP) means the quantum-based methods to speed up image processing algorithms. Many quantum image processing schemes claim that their efficiency is theoretically higher than their corresponding classical schemes. However, most of them do not consider the problem of measurement. As we all know, measurement will lead to collapse. That is to say, executing the algorithm once, users can only measure the final state one time. Therefore, if users want to regain the results (the processed images), they must execute the algorithms many times and then measure the final state many times to get all the pixels' values. If the measurement process is taken into account, whether or not the algorithms are really efficient needs to be reconsidered. In this paper, we try to solve the problem of measurement and give a quantum image matching algorithm. Unlike most of the QIP algorithms, our scheme interests only one pixel (the target pixel) instead of the whole image. It modifies the probability of pixels based on Grover's algorithm to make the target pixel to be measured with higher probability, and the measurement step is executed only once. An example is given to explain the algorithm more vividly. Complexity analysis indicates that the quantum scheme's complexity is O(2n) in contradistinction to the classical scheme's complexity O(2^{2n+2m}) , where m and n are integers related to the size of images.

  1. Organizations must match assets

    International Nuclear Information System (INIS)

    The unprofitable state of the Canadian oil industry, the adverse economic environment, the difficulty of finding capital, and the diminishing resources of conventional lighter crude oil make it necessary for Canadian oil companies to match their organizations and their financing to their assets. This is illustrated according to the experience of Saskoil, a Saskatchewan oil and gas company. An increasing production of oil and natural gas, and an increasing amount of new oil production as heavy oil, led to organizational changes such as the purchase of an asphalt plant to provide the company with downstream experience, establishing a working group to explore and develop heavy oil resources, and forming a company to manage non-core assets. The latter company, Pasqua Resources, manages assets such as small properties and ownership interests in order to increase the operating efficiency of Saskoil. Pasqua provides Saskoil with a corporate and organizational vehicle to accommodate partnerships and joint venture capital invested in property purchase opportunities, and to manage any of Saskoil's divestiture activities

  2. Direct Detection and Differentiation of Pathogenic Leptospira Species Using a Multi-Gene Targeted Real Time PCR Approach

    OpenAIRE

    Ana Sofia Ferreira; Pedro Costa; Teresa Rocha; Ana Amaro; Maria Luísa Vieira; Ahmed Ahmed; Gertrude Thompson; Hartskeerl, Rudy A.; João Inácio

    2014-01-01

    Leptospirosis is a growing public and veterinary health concern caused by pathogenic species of Leptospira. Rapid and reliable laboratory tests for the direct detection of leptospiral infections in animals are in high demand not only to improve diagnosis but also for understanding the epidemiology of the disease. In this work we describe a novel and simple TaqMan-based multi-gene targeted real-time PCR approach able to detect and differentiate Leptospira interrogans, L. kirschneri, L. borgpet...

  3. Classification of Micro Array Gene Expression Data using Factor Analysis Approach with Naïve Bayesian Classifier

    OpenAIRE

    Tamilselvi Madeswaran; G.M.Kadhar Nawaz

    2013-01-01

    Microarray data studies produce large number of data and in order to analyze such large micro array data lies on Data mining or Statistical Analysis. Our objective is to classify the micro arraygene expression data. Usually before going for the classification the dimensionality reduction will be performed on the micro array gene expression dataset. A statistical approach for the extraction of thegene has been proposed. The drawback in the statistical analysis is that, it doesn’t identify the ...

  4. Transverse Matching Techniques for the SNS Linac

    CERN Document Server

    Jeon Dong Oh; Danilov, Viatcheslav V

    2005-01-01

    It is crucial to minimize beam loss and machine activation by obtaining optimal transverse matching for a high-intensity linear accelerator such as the Spallation Neutron Source linac. For matching the Drift Tube Linac (DTL) to Coupled Cavity Linac (CCL), there are four wire-scanners installed in series in CCL module 1 as proposed by the author.* A series of measurements was conducted to minimize envelope breathing and the results are presented here. As an independent approach, Chu et al is developing an application based on another technique by estimating rms emittance using the wire scanner profile data.** For matching the Medium Energy Beam Transport Line to the DTL, a technique of minimizing rms emittance was used and emittance data show that tail is minimized as well.

  5. Improved Stereo Matching With Boosting Method

    Directory of Open Access Journals (Sweden)

    Shiny B

    2015-06-01

    Full Text Available Abstract This paper presents an approach based on classification for improving the accuracy of stereo matching methods. We propose this method for occlusion handling. This work employs classification of pixels for finding the erroneous disparity values. Due to the wide applications of disparity map in 3D television medical imaging etc the accuracy of disparity map has high significance. An initial disparity map is obtained using local or global stereo matching methods from the input stereo image pair. The various features for classification are computed from the input stereo image pair and the obtained disparity map. Then the computed feature vector is used for classification of pixels by using GentleBoost as the classification method. The erroneous disparity values in the disparity map found by classification are corrected through a completion stage or filling stage. A performance evaluation of stereo matching using AdaBoostM1 RUSBoost Neural networks and GentleBoost is performed.

  6. Sidescan Sonar Image Matching Using Cross Correlation

    DEFF Research Database (Denmark)

    Thisen, Erik; Sørensen, Helge Bjarup Dissing; Stage, Bjarne

    2003-01-01

    viewpoints. This paper presents a novel approach for matching two sidescan sonar images. The method first registers the two images to ground, then uses the cross correlation of the object positions on the seabed to find the correct displacement between the two images. In order to correct any minor...... displacements of the relative objects position as a result of the ground registration, the object position is given an area of influence. The method is compared to an existing method for matching sidescan sonar images based on hypothetical reasoning. The two methods are compared on a number of real sidescan......When surveying an area for sea mines with a sidescan sonar, the ability to find the same object in two different sonar images is helpful to determine the nature of the object. The main problem with matching two sidescan sonar images is that a scene changes appearance when viewed from different...

  7. Approach of combined cancer gene therapy and radiation: response of promoters to ionizing radiation

    International Nuclear Information System (INIS)

    Gene therapy is an emerging cancer treatment modality. We are interested in developing a radiation-inducible gene therapy system to sensitize the tumor vasculature to the effects of ionizing radiation (IR) treatment. An expression system based on irradiation-inducible promoters will drive the expression of anti-tumor genes in the tumor vasculature. Solid tumors are dependent on angio genesis, a process in which new blood vessels are formed from the pre-existing vasculature. Vascular endothelial cells are un transformed and genetically stable, thus avoiding the problem of resistance to the treatments. Vascular endothelial cells may therefore represent a suitable target for this therapeutic gene therapy strategy.The identification of IR-inducible promoters native to endothelial cells was performed by gene expression profiling using cDNA micro array technology. We describe the genes modified by clinically relevant doses of IR. The extension to high doses aimed at studying the effects of total radiation delivery to the tumor. The radio-inductiveness of the genes selected for promoter study was confirmed by RT-PCR. Analysis of the activity of promoters in response to IR was also assessed in a reporter plasmid. We found that authentic promoters cloned onto a plasmid are not suitable for cancer gene therapy due to their low induction after IR. In contrast, synthetic promoters containing repeated sequence-specific binding sites for IR-activated transcription factors such as NF-κB are potential candidates for gene therapy. The activity of five tandemly repeated TGGGGACTTTCCGC elements for NF-κB binding in a luciferase reporter was increased in a dose-dependent manner. Interestingly, the response to fractionated low doses was improved in comparison to the total single dose. Thus, we put present evidence that a synthetic promoter for NF-κB specific binding may have application in the radio-therapeutic treatment of cancer. (author)

  8. A facile approach to construct hybrid multi-shell calcium phosphate gene particles*

    OpenAIRE

    Xu, Zhi-xue; Zhang, Ran; Wang, You-xiang; Hu, Qiao-ling

    2010-01-01

    The calcium phosphate (CaP) particles have attracted much attention in gene therapy. How to construct stable gene particles was the determining factor. In this study, hybrid multi-shell CaP gene particles were successfully constructed. First, CaP nanoparticles served as a core and were coated with DNA for colloidal stabilization. The ξ-potential of DNA-coated CaP nanoparticles was −15 mV. Then polyethylenimine (PEI) was added and adsorbed outside of the DNA layer due to the electrostatic attr...

  9. Variants of the HNF1α gene: a molecular approach concerning diabetic patients from southern Brazil

    OpenAIRE

    Naieli Bonatto; Viviane Nogaroto; Svidnicki, Paulo V.; Milléo, Fábio Q.; Sabrina Grassiolli; Almeida, Mara C.; Marcelo R. Vicari; Artoni, Roberto F.

    2012-01-01

    Maturity Onset Diabetes of the Young (MODY) presents monogenic inheritance and mutation factors which have already been identified in six different genes. Given the wide molecular variation present in the hepatocyte nuclear factor-1α gene (HNF1α) MODY3, the aim of this study was to amplify and sequence the coding regions of this gene in seven patients from the Campos Gerais region, Paraná State, Brazil, presenting clinical MODY3 features. Besides the synonymous variations, A15A, L17L, Q141Q, ...

  10. Highly efficient gene targeting in Penicillium chrysogenum using the bi-partite approach in deltalig4 or deltaku70 mutants.

    Science.gov (United States)

    de Boer, Paulo; Bastiaans, Jeroen; Touw, Hesselien; Kerkman, Richard; Bronkhof, Jurian; van den Berg, Marco; Offringa, Remko

    2010-10-01

    Inactivating the non-homologous end-joining (NHEJ) pathway is a well established method to increase gene targeting (GT) efficiencies in filamentous fungi. In this study we have compared the effect of inactivating the NHEJ genes ku70 or lig4 on GT in the industrial penicillin producer Penicillium chrysogenum. Deletion of both genes resulted in strongly increased GT efficiencies at three different loci but not higher than 70%, implying that other, yet uncharacterized, recombination pathways are still active causing a part of the DNA to be integrated via non-homologous recombination. To further increase the GT efficiency we applied the bi-partite approach, in which the DNA fragment for integration was split in two non-functional overlapping parts that via homologous recombination invivo can form a functional selection marker. The combined NHEJ mutant and bi-partite approach further increased GT frequencies up to approximately 90%, which will enable the efficient high throughput engineering of the P. chrysogenum genome. We expect that this combined approach will function with similar high efficiencies in other filamentous fungi. PMID:20659576

  11. Isolation of Novel CreERT2-Driver Lines in Zebrafish Using an Unbiased Gene Trap Approach.

    Directory of Open Access Journals (Sweden)

    Peggy Jungke

    Full Text Available Gene manipulation using the Cre/loxP-recombinase system has been successfully employed in zebrafish to study gene functions and lineage relationships. Recently, gene trapping approaches have been applied to produce large collections of transgenic fish expressing conditional alleles in various tissues. However, the limited number of available cell- and tissue-specific Cre/CreERT2-driver lines still constrains widespread application in this model organism. To enlarge the pool of existing CreERT2-driver lines, we performed a genome-wide gene trap screen using a Tol2-based mCherry-T2a-CreERT2 (mCT2aC gene trap vector. This cassette consists of a splice acceptor and a mCherry-tagged variant of CreERT2 which enables simultaneous labeling of the trapping event, as well as CreERT2 expression from the endogenous promoter. Using this strategy, we generated 27 novel functional CreERT2-driver lines expressing in a cell- and tissue-specific manner during development and adulthood. This study summarizes the analysis of the generated CreERT2-driver lines with respect to functionality, expression, integration, as well as associated phenotypes. Our results significantly enlarge the existing pool of CreERT2-driver lines in zebrafish and combined with Cre-dependent effector lines, the new CreERT2-driver lines will be important tools to manipulate the zebrafish genome.

  12. Isolation of Novel CreERT2-Driver Lines in Zebrafish Using an Unbiased Gene Trap Approach.

    Science.gov (United States)

    Jungke, Peggy; Hammer, Juliane; Hans, Stefan; Brand, Michael

    2015-01-01

    Gene manipulation using the Cre/loxP-recombinase system has been successfully employed in zebrafish to study gene functions and lineage relationships. Recently, gene trapping approaches have been applied to produce large collections of transgenic fish expressing conditional alleles in various tissues. However, the limited number of available cell- and tissue-specific Cre/CreERT2-driver lines still constrains widespread application in this model organism. To enlarge the pool of existing CreERT2-driver lines, we performed a genome-wide gene trap screen using a Tol2-based mCherry-T2a-CreERT2 (mCT2aC) gene trap vector. This cassette consists of a splice acceptor and a mCherry-tagged variant of CreERT2 which enables simultaneous labeling of the trapping event, as well as CreERT2 expression from the endogenous promoter. Using this strategy, we generated 27 novel functional CreERT2-driver lines expressing in a cell- and tissue-specific manner during development and adulthood. This study summarizes the analysis of the generated CreERT2-driver lines with respect to functionality, expression, integration, as well as associated phenotypes. Our results significantly enlarge the existing pool of CreERT2-driver lines in zebrafish and combined with Cre-dependent effector lines, the new CreERT2-driver lines will be important tools to manipulate the zebrafish genome. PMID:26083735

  13. Swarm Intelligence Approach Based on Adaptive ELM Classifier with ICGA Selection for Microarray Gene Expression and Cancer Classification

    Directory of Open Access Journals (Sweden)

    T. Karthikeyan

    2014-05-01

    Full Text Available The aim of this research study is based on efficient gene selection and classification of microarray data analysis using hybrid machine learning algorithms. The beginning of microarray technology has enabled the researchers to quickly measure the position of thousands of genes expressed in an organic/biological tissue samples in a solitary experiment. One of the important applications of this microarray technology is to classify the tissue samples using their gene expression representation, identify numerous type of cancer. Cancer is a group of diseases in which a set of cells shows uncontrolled growth, instance that interrupts upon and destroys nearby tissues and spreading to other locations in the body via lymph or blood. Cancer has becomes a one of the major important disease in current scenario. DNA microarrays turn out to be an effectual tool utilized in molecular biology and cancer diagnosis. Microarrays can be measured to establish the relative quantity of mRNAs in two or additional organic/biological tissue samples for thousands/several thousands of genes at the same time. As the superiority of this technique become exactly analysis/identifying the suitable assessment of microarray data in various open issues. In the field of medical sciences multi-category cancer classification play a major important role to classify the cancer types according to the gene expression. The need of the cancer classification has been become indispensible, because the numbers of cancer victims are increasing steadily identified by recent years. To perform this proposed a combination of Integer-Coded Genetic Algorithm (ICGA and Artificial Bee Colony algorithm (ABC, coupled with an Adaptive Extreme Learning Machine (AELM, is used for gene selection and cancer classification. ICGA is used with ABC based AELM classifier to chose an optimal set of genes which results in an efficient hybrid algorithm that can handle sparse data and sample imbalance. The

  14. Match Analysis in Volleyball: a systematic review

    Directory of Open Access Journals (Sweden)

    Miguel Silva

    2016-03-01

    Full Text Available The present article aims to review the available literature on match analysis in adult male Volleyball. Specific key words "performance analysis", "match analysis", "game analysis", "notational analysis", "tactical analysis", "technical analysis", "outcome" and "skills" were used to search relevant databases (PubMed, Web of Science, SportDiscus, Academic Search Complete and the International Journal of Performance Analysis in Sport. The research was conducted according to PRISMA (Preferred Reporting Items for Systematic reviews and Meta analyses guidelines. Of 3407 studies initially identified, only 34 were fully reviewed, and their outcome measures extracted and analyzed. Studies that fit all inclusion criteria were organized into two levels of analysis, according to their research design (comparative or predictive and depending on the type of variables analyzed (skills and their relationship with success, play position and match phase. Results show that from a methodological point of view, comparative studies where currently complemented with some predictive studies. This predictive approach emerged with the aim to identify the relationship between variables, considering their possible interactions and consequently its effect on team performance, contributing to a better understanding of Volleyball game performance through match analysis. Taking into account the limitations of the reviewed studies, future research should provide comprehensive operational definitions for the studied variables, using more recent samples, and consider integrating the player positions and match phase contexts into the analysis of Volleyball.

  15. A Hybrid SOM-SVM Approach for the Zebrafish Gene Expression Analysis

    Institute of Scientific and Technical Information of China (English)

    Wei Wu; Xin Liu; Min Xu; Jin-Rong Peng; Rudy Setiono

    2005-01-01

    Microarray technology can be employed to quantitatively measure the expression of thousands of genes in a single experiment. It has become one of the main tools for global gene expression analysis in molecular biology research in recent years. The large amount of expression data generated by this technology makes the study of certain complex biological problems possible, and machine learning methods are expected to play a crucial role in the analysis process. In this paper,we present our results from integrating the self-organizing map (SOM) and the support vector machine (SVM) for the analysis of the various functions of zebrafish genes based on their expression. The most distinctive characteristic of our zebrafish gene expression is that the number of samples of different classes is imbalanced. We discuss how SOM can be used as a data-filtering tool to improve the classification performance of the SVM on this data set.

  16. Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach

    OpenAIRE

    Shaar-Moshe, Lidor; Hübner, Sariel; Peleg, Zvi

    2015-01-01

    Background Drought is the major environmental stress threatening crop-plant productivity worldwide. Identification of new genes and metabolic pathways involved in plant adaptation to progressive drought stress at the reproductive stage is of great interest for agricultural research. Results We developed a novel Cross-Species meta-Analysis of progressive Drought stress at the reproductive stage (CSA:Drought) to identify key drought adaptive genes and mechanisms and to test their evolutionary c...

  17. ANGIOTENSIN I CONVERTING ENZYME GENE POLYMORPHISM AND EXERCISE TRAINABILITY IN ELDERLY WOMEN: AN ELECTROCARDIOLOGICAL APPROACH

    OpenAIRE

    Takuro Tobina; Akira Kiyonaga; Yuko Akagi; Yukari Mori; Kojiro Ishii; Hitoshi Chiba; Munehiro Shindo; Hiroaki Tanaka

    2007-01-01

    Angiotensin I converting enzyme (ACE) gene Insertion / Deletion (I/D) polymorphism is associated with exercise trainability and exercise induced left ventricular hypertrophy. However, it is unclear whether this polymorphism influences exercise trainability in the elderly, and the electrocardiological alterations by exercise training is unknown among the genotypes. We herein investigated the association between ACE gene insertion/deletion (I/D) polymorphism, exercise trainability and the elect...

  18. Pollen Sterility—A Promising Approach to Gene Confinement and Breeding for Genetically Modified Bioenergy Crops

    OpenAIRE

    Joel P. Hague; Dellaporta, Stephen L.; Moreno, Maria A.; Chip Longo; Kimberly Nelson; Albert P. Kausch

    2012-01-01

    Advanced genetic and biotechnology tools will be required to realize the full potential of food and bioenergy crops. Given current regulatory concerns, many transgenic traits might never be deregulated for commercial release without a robust gene confinement strategy in place. The potential for transgene flow from genetically modified (GM) crops is widely known. Pollen-mediated transfer is a major component of gene flow in flowering plants and therefore a potential avenue for the escape of tr...

  19. A novel biclustering approach with iterative optimization to analyze gene expression data

    Directory of Open Access Journals (Sweden)

    Ohta H

    2012-09-01

    Full Text Available Sawannee Sutheeworapong,1,2 Motonori Ota,4 Hiroyuki Ohta,1 Kengo Kinoshita2,31Department of Biological Sciences, Graduate School of Biosciences and Biotechnology, Tokyo Institute of Technology, Tokyo, Japan; 2Graduate School of Information Sciences, 3Institute of Development, Aging and Cancer, Tohoku University, Miyagi, Japan; 4Graduate School of Information Sciences, Nagoya University, Nagoya, JapanObjective: With the dramatic increase in microarray data, biclustering has become a promising tool for gene expression analysis. Biclustering has been proven to be superior over clustering in identifying multifunctional genes and searching for co-expressed genes under a few specific conditions; that is, a subgroup of all conditions. Biclustering based on a genetic algorithm (GA has shown better performance than greedy algorithms, but the overlap state for biclusters must be treated more systematically.Results: We developed a new biclustering algorithm (binary-iterative genetic algorithm [BIGA], based on an iterative GA, by introducing a novel, ternary-digit chromosome encoding function. BIGA searches for a set of biclusters by iterative binary divisions that allow the overlap state to be explicitly considered. In addition, the average of the Pearson’s correlation coefficient was employed to measure the relationship of genes within a bicluster, instead of the mean square residual, the popular classical index. As compared to the six existing algorithms, BIGA found highly correlated biclusters, with large gene coverage and reasonable gene overlap. The gene ontology (GO enrichment showed that most of the biclusters are significant, with at least one GO term over represented.Conclusion: BIGA is a powerful tool to analyze large amounts of gene expression data, and will facilitate the elucidation of the underlying functional mechanisms in living organisms.Keywords: biclustering, microarray data, genetic algorithm, Pearson’s correlation coefficient

  20. Genetic Susceptibility to Vitiligo: GWAS Approaches for Identifying Vitiligo Susceptibility Genes and Loci

    OpenAIRE

    Shen, Changbing; Gao, Jing; Sheng, Yujun; Dou, Jinfa; Zhou, Fusheng; Zheng, Xiaodong; Ko, Randy; Tang, Xianfa; Zhu, Caihong; Yin, Xianyong; Sun, Liangdan; Cui, Yong; Zhang, Xuejun

    2016-01-01

    Vitiligo is an autoimmune disease with a strong genetic component, characterized by areas of depigmented skin resulting from loss of epidermal melanocytes. Genetic factors are known to play key roles in vitiligo through discoveries in association studies and family studies. Previously, vitiligo susceptibility genes were mainly revealed through linkage analysis and candidate gene studies. Recently, our understanding of the genetic basis of vitiligo has been rapidly advancing through genome-wid...

  1. Identification of a strawberry flavor gene candidate using an integrated genetic-genomic-analytical chemistry approach

    OpenAIRE

    Chambers, Alan H.; Pillet, Jeremy; Plotto, Anne; Bai, Jinhe; Whitaker, Vance M.; Folta, Kevin M

    2014-01-01

    Background There is interest in improving the flavor of commercial strawberry (Fragaria × ananassa) varieties. Fruit flavor is shaped by combinations of sugars, acids and volatile compounds. Many efforts seek to use genomics-based strategies to identify genes controlling flavor, and then designing durable molecular markers to follow these genes in breeding populations. In this report, fruit from two cultivars, varying for presence-absence of volatile compounds, along with segregating progeny,...

  2. The genetic basis of quality of life in healthy Swedish women: a candidate gene approach.

    Directory of Open Access Journals (Sweden)

    Dounya Schoormans

    Full Text Available Quality of life (QoL is an increasingly important parameter in clinical practice as it predicts mortality and poor health outcomes. It is hypothesized that one may have a genetic predisposition for QoL. We therefore related 139 candidate genes, selected through a literature search, to QoL in healthy females.In 5,142 healthy females, background characteristics (i.e. demographic, clinical, lifestyle, and psychological factors were assessed. QoL was measured by the EORTC QLQ-C30, which consists of 15 domains. For all women genotype information was available. For each candidate gene, single nucleotide polymorphisms (SNPs were identified based on their functional (n = 2,663 and physical annotation (n = 10,649. SNPs were related to each QoL-domain, while controlling for background characteristics and population stratification. Finally, gene-based analyses were performed relating the combined effect of 10,649 SNPs (selected based on physical annotation for each gene, to QoL using the statistical software package VEGAS.Overall, we found no relation between genetic variations (SNPs and genes and 14 out of 15 QoL-domains. The strongest association was found between cognitive functioning and the top SNP rs1468951 (p = 1.21E-05 in the GSTZ1 gene. Furthermore, results of the gene-based test showed that the combined effect of 11 SNPs within the GSTZ1 gene is significantly associated with cognitive functioning (p = 2.60E-05.If validated, the involvement of GSTZ1 in cognitive functioning underscores its heritability which is likely the result of differences in the dopamine pathway, as GSTZ1 contributes to the equilibrium between dopamine and its neurotoxic metabolites via the glutathione redox cycle.

  3. Functional epigenomics approach to identify methylated candidate tumour suppressor genes in renal cell carcinoma

    OpenAIRE

    Morris, M.

    2008-01-01

    Promoter region hypermethylation and transcriptional silencing is a frequent cause of tumour suppressor gene (TSG) inactivation in many human cancers. Previously, to identify candidate epigenetically inactivated TSGs in renal cell carcinoma (RCC), we monitored changes in gene expression in four RCC cell lines after treatment with the demethylating agent 5-azacytidine. This enabled us to identify HAI-2/SPINT2 as a novel epigenetically inactivated candidate RCC TSG. To identify further candidat...

  4. From 'omics' to complex disease: a systems biology approach to gene-environment interactions in cancer

    OpenAIRE

    Knox Sarah S

    2010-01-01

    Abstract Background Cancer is a complex disease that involves a sequence of gene-environment interactions in a progressive process that cannot occur without dysfunction in multiple systems, including DNA repair, apoptotic and immune functions. Epigenetic mechanisms, responding to numerous internal and external cues in a dynamic ongoing exchange, play a key role in mediating environmental influences on gene expression and tumor development. Hypothesis The hypothesis put forth in this paper add...

  5. Matching for Human Leukocyte Antigens (HLA) in corneal transplantation - to do or not to do.

    Science.gov (United States)

    van Essen, T H; Roelen, D L; Williams, K A; Jager, M J

    2015-05-01

    As many patients with severe corneal disease are not even considered as candidates for a human graft due to their high risk of rejection, it is essential to find ways to reduce the chance of rejection. One of the options is proper matching of the cornea donor and recipient for the Human Leukocyte Antigens (HLA), a subject of much debate. Currently, patients receiving their first corneal allograft are hardly ever matched for HLA and even patients undergoing a regraft usually do not receive an HLA-matched graft. While anterior and posterior lamellar grafts are not immune to rejection, they are usually performed in low risk, non-vascularized cases. These are the cases in which the immune privilege due to the avascular status and active immune inhibition is still intact. Once broken due to infection, sensitization or trauma, rejection will occur. There is enough data to show that when proper DNA-based typing techniques are being used, even low risk perforating corneal transplantations benefit from matching for HLA Class I, and high risk cases from HLA Class I and probably Class II matching. Combining HLA class I and class II matching, or using the HLAMatchmaker could further improve the effect of HLA matching. However, new techniques could be applied to reduce the chance of rejection. Options are the local or systemic use of biologics, or gene therapy, aiming at preventing or suppressing immune responses. The goal of all these approaches should be to prevent a first rejection, as secondary grafts are usually at higher risk of complications including rejections than first grafts. PMID:25601193

  6. DOE Matching Grant Program

    International Nuclear Information System (INIS)

    Funding used to support a portion of the Nuclear Engineering Educational Activities. Upgrade of teaching labs, student support to attend professional conferences, salary support for graduate students. The US Department of Energy (DOE) has funded Purdue University School of Nuclear Engineering during the period of five academic years covered in this report starting in the academic year 1996-97 and ending in the academic year 2000-2001. The total amount of funding for the grant received from DOE is $416K. In the 1990's, Nuclear Engineering Education in the US experienced a significant slow down. Student enrollment, research support, number of degrees at all levels (BS, MS, and PhD), number of accredited programs, University Research and Training Reactors, all went through a decline to alarmingly low levels. Several departments closed down, while some were amalgamated with other academic units (Mechanical Engineering, Chemical Engineering, etc). The School of Nuclear Engineering at Purdue University faced a major challenge when in the mid 90's our total undergraduate enrollment for the Sophomore, Junior and Senior Years dropped in the low 30's. The DOE Matching Grant program greatly strengthened Purdue's commitment to the Nuclear Engineering discipline and has helped to dramatically improve our undergraduate and graduate enrollment, attract new faculty and raise the School of Nuclear Engineering status within the University and in the National scene (our undergraduate enrollment has actually tripled and stands at an all time high of over 90 students; total enrollment currently exceeds 110 students). In this final technical report we outline and summarize how the grant was expended at Purdue University

  7. DOE Matching Grant Program

    Energy Technology Data Exchange (ETDEWEB)

    Tsoukalas, L.

    2002-12-31

    Funding used to support a portion of the Nuclear Engineering Educational Activities. Upgrade of teaching labs, student support to attend professional conferences, salary support for graduate students. The US Department of Energy (DOE) has funded Purdue University School of Nuclear Engineering during the period of five academic years covered in this report starting in the academic year 1996-97 and ending in the academic year 2000-2001. The total amount of funding for the grant received from DOE is $416K. In the 1990's, Nuclear Engineering Education in the US experienced a significant slow down. Student enrollment, research support, number of degrees at all levels (BS, MS, and PhD), number of accredited programs, University Research and Training Reactors, all went through a decline to alarmingly low levels. Several departments closed down, while some were amalgamated with other academic units (Mechanical Engineering, Chemical Engineering, etc). The School of Nuclear Engineering at Purdue University faced a major challenge when in the mid 90's our total undergraduate enrollment for the Sophomore, Junior and Senior Years dropped in the low 30's. The DOE Matching Grant program greatly strengthened Purdue's commitment to the Nuclear Engineering discipline and has helped to dramatically improve our undergraduate and graduate enrollment, attract new faculty and raise the School of Nuclear Engineering status within the University and in the National scene (our undergraduate enrollment has actually tripled and stands at an all time high of over 90 students; total enrollment currently exceeds 110 students). In this final technical report we outline and summarize how the grant was expended at Purdue University.

  8. Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach.

    Science.gov (United States)

    Murphy, Elliot; Benítez-Burraco, Antonio

    2016-01-01

    Schizophrenia is characterized by marked language deficits, but it is not clear how these deficits arise from the alteration of genes related to the disease. The goal of this paper is to aid the bridging of the gap between genes and schizophrenia and, ultimately, give support to the view that the abnormal presentation of language in this condition is heavily rooted in the evolutionary processes that brought about modern language. To that end we will focus on how the schizophrenic brain processes language and, particularly, on its distinctive oscillatory profile during language processing. Additionally, we will show that candidate genes for schizophrenia are overrepresented among the set of genes that are believed to be important for the evolution of the human faculty of language. These genes crucially include (and are related to) genes involved in brain rhythmicity. We will claim that this translational effort and the links we uncover may help develop an understanding of language evolution, along with the etiology of schizophrenia, its clinical/linguistic profile, and its high prevalence among modern populations. PMID:27601987

  9. Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach

    Science.gov (United States)

    Murphy, Elliot; Benítez-Burraco, Antonio

    2016-01-01

    Schizophrenia is characterized by marked language deficits, but it is not clear how these deficits arise from the alteration of genes related to the disease. The goal of this paper is to aid the bridging of the gap between genes and schizophrenia and, ultimately, give support to the view that the abnormal presentation of language in this condition is heavily rooted in the evolutionary processes that brought about modern language. To that end we will focus on how the schizophrenic brain processes language and, particularly, on its distinctive oscillatory profile during language processing. Additionally, we will show that candidate genes for schizophrenia are overrepresented among the set of genes that are believed to be important for the evolution of the human faculty of language. These genes crucially include (and are related to) genes involved in brain rhythmicity. We will claim that this translational effort and the links we uncover may help develop an understanding of language evolution, along with the etiology of schizophrenia, its clinical/linguistic profile, and its high prevalence among modern populations.

  10. Sequence Matching Analysis for Curriculum Development

    Directory of Open Access Journals (Sweden)

    Liem Yenny Bendatu

    2015-01-01

    Full Text Available Many organizations apply information technologies to support their business processes. Using the information technologies, the actual events are recorded and utilized to conform with predefined model. Conformance checking is an approach to measure the fitness and appropriateness between process model and actual events. However, when there are multiple events with the same timestamp, the traditional approach unfit to result such measures. This study attempts to develop a sequence matching analysis. Considering conformance checking as the basis of this approach, this proposed approach utilizes the current control flow technique in process mining domain. A case study in the field of educational process has been conducted. This study also proposes a curriculum analysis framework to test the proposed approach. By considering the learning sequence of students, it results some measurements for curriculum development. Finally, the result of the proposed approach has been verified by relevant instructors for further development.

  11. Improved Bidirectional Exact Pattern Matching

    OpenAIRE

    Hussain, Iftikhar; Hassan Kazmi, Syed Zaki; Ali Khan, Israr; Mehmood, Rashid

    2013-01-01

    In this research, we present an improved version of Bidirectional (BD) exact pattern matching (EPM) algorithm to solve the problem of exact pattern matching. Improved-Bidirectional (IBD) exact pattern matching algorithm introduced a new idea of scanning partial text window (PTW) as well with the pattern to take decision of moving pattern to the right of partial text window. IBD algorithm compares the characters of pattern to selected text window (STW) from both sides simultaneously as BD....

  12. Maximum matching on random graphs

    OpenAIRE

    Zhou, Haijun; Ou-Yang, Zhong-Can

    2003-01-01

    The maximum matching problem on random graphs is studied analytically by the cavity method of statistical physics. When the average vertex degree \\mth{c} is larger than \\mth{2.7183}, groups of max-matching patterns which differ greatly from each other {\\em gradually} emerge. An analytical expression for the max-matching size is also obtained, which agrees well with computer simulations. Discussion is made on this {\\em continuous} glassy phase transition and the absence of such a glassy phase ...

  13. An Incentive Theory of Matching

    OpenAIRE

    Brown, Alessio J. G.; Merkl, Christian; Snower, Dennis J.

    2010-01-01

    This paper examines the labour market matching process by distinguishing its two component stages: the contact stage, in which job searchers make contact with employers and the selection stage, in which they decide whether to match. We construct a theoretical model explaining two-sided selection through microeconomic incentives. Firms face adjustment costs in responding to heterogeneous variations in the characteristics of workers and jobs. Matches and separations are described through firms'...

  14. An Incentive Theory of Matching.

    OpenAIRE

    Brown, Alessio J. G.; Merkl, Christian; Snower, Dennis J.

    2010-01-01

    This paper examines the labour market matching process by distinguishing its two component stages: the contact stage, in which job searchers make contact with employers and the selection stage, in which they decide whether to match. We construct a theoretical model explaining two-sided selection through microeconomic incentives. Firms face adjustment costs in responding to heterogeneous variations in the characteristics of workers and jobs. Matches and separations are described through firms'...

  15. Ridge-based fingerprint matching

    OpenAIRE

    Pohar, Jaka

    2013-01-01

    The diploma thesis presents an upgrade of the FingerIdent fingerprint verification system. The current version of the system uses a minutia matching procedure for comparison of two fingerprints. In order to improve the security of the system we have implemented an additional matching procedure which is based on the use of fingerprint ridges. Algorithm inputs are lists of ridge points of two fingerprints. At the beginning the algorithm searches the initial base ridge pair and matches it. Th...

  16. Effect of Thyrotropin Releasing Hormone (TRH on Gene Expressions in Rat Pancreas: Approach by Microarray Hybridization

    Directory of Open Access Journals (Sweden)

    Luo LG

    2004-07-01

    Full Text Available CONTEXT: Thyrotropin releasing hormone (TRH, originally identified as a hypothalamic hormone, expresses in the pancreas. The effects of TRH such as, inhibiting amylase secretion in rats through a direct effect on acinar cells, enhancing basal glucagon secretion from isolated perfused rat pancreas, and potentiating glucose-stimulated insulin secretion in perfused rat islets and insulin-secreting clonal beta-cell lines, suggest that TRH may play a role in pancreas. TRH also enlarged pancreas and increased pancreatic DNA content but deletion of TRH gene expression caused hyperglycemia in mice, suggesting that TRH may play a critical role in pancreatic development; however, the biological mechanisms of TRH in the adult pancreas remains unclear. OBJECTIVES: This study explored the effect of TRH on rat pancreas. SUBJECTS: Four male-Sprague-Dawley-rats (200-250 g were given 10 microg/kg BW of TRH intraperitoneally on 1st and 3rd day and sacrificed on 7th day. Four same-strain rats without TRH injection served as controls. MAIN OUTCOME MEASURES: Wet pancreatic weights were measured. Pancreatic tissues were homogenized and extracted. The insulin levels of the extracts were measured by ELISA. Total RNA from the pancreases were fluorescently labeled and hybridized to microarray with 1,081 spot genes. RESULTS: TRH increased pancreatic wet weight and insulin contents. About 75% of the 1,081 genes were detected in the pancreas. TRH regulated up 99 genes and down 76 genes. The administration of TRH induced various types of gene expressions, such as G-protein coupled receptors (GPCR and signal transduction related genes (GPCR kinase 4, transducin beta subunit 5, arrestin beta1MAPK3, MAPK5, c-Src kinase, PKCs, PI3 kinase, growth factors (PDGF-B, IGF-2, IL-18, IGF-1, IL-2, IL-6, endothelin-1 and apoptotic factors (Bcl2, BAD, Bax. CONCLUSION: Reprogramming of transcriptome may be a way for TRH-regulation of pancreatic cellular functions.

  17. An evolutionary genomic approach to identify genes involved in human birth timing.

    Directory of Open Access Journals (Sweden)

    Jevon Plunkett

    2011-04-01

    Full Text Available Coordination of fetal maturation with birth timing is essential for mammalian reproduction. In humans, preterm birth is a disorder of profound global health significance. The signals initiating parturition in humans have remained elusive, due to divergence in physiological mechanisms between humans and model organisms typically studied. Because of relatively large human head size and narrow birth canal cross-sectional area compared to other primates, we hypothesized that genes involved in parturition would display accelerated evolution along the human and/or higher primate phylogenetic lineages to decrease the length of gestation and promote delivery of a smaller fetus that transits the birth canal more readily. Further, we tested whether current variation in such accelerated genes contributes to preterm birth risk. Evidence from allometric scaling of gestational age suggests human gestation has been shortened relative to other primates. Consistent with our hypothesis, many genes involved in reproduction show human acceleration in their coding or adjacent noncoding regions. We screened >8,400 SNPs in 150 human accelerated genes in 165 Finnish preterm and 163 control mothers for association with preterm birth. In this cohort, the most significant association was in FSHR, and 8 of the 10 most significant SNPs were in this gene. Further evidence for association of a linkage disequilibrium block of SNPs in FSHR, rs11686474, rs11680730, rs12473870, and rs1247381 was found in African Americans. By considering human acceleration, we identified a novel gene that may be associated with preterm birth, FSHR. We anticipate other human accelerated genes will similarly be associated with preterm birth risk and elucidate essential pathways for human parturition.

  18. Robust and accurate multi-view reconstruction by prioritized matching

    DEFF Research Database (Denmark)

    Ylimaki, M.; Kannala, J.; Holappa, J.;

    2012-01-01

    prioritized matching method which expands the most promising seeds first. The output of the method is a three-dimensional point cloud. Unlike previous correspondence growing approaches our method allows to use the best-first matching principle in the generic multi-view stereo setting with arbitrary number of...

  19. A Systems Approach Identifies Networks and Genes Linking Sleep and Stress: Implications for Neuropsychiatric Disorders

    Directory of Open Access Journals (Sweden)

    Peng Jiang

    2015-05-01

    Full Text Available Sleep dysfunction and stress susceptibility are comorbid complex traits that often precede and predispose patients to a variety of neuropsychiatric diseases. Here, we demonstrate multilevel organizations of genetic landscape, candidate genes, and molecular networks associated with 328 stress and sleep traits in a chronically stressed population of 338 (C57BL/6J × A/J F2 mice. We constructed striatal gene co-expression networks, revealing functionally and cell-type-specific gene co-regulations important for stress and sleep. Using a composite ranking system, we identified network modules most relevant for 15 independent phenotypic categories, highlighting a mitochondria/synaptic module that links sleep and stress. The key network regulators of this module are overrepresented with genes implicated in neuropsychiatric diseases. Our work suggests that the interplay among sleep, stress, and neuropathology emerges from genetic influences on gene expression and their collective organization through complex molecular networks, providing a framework for interrogating the mechanisms underlying sleep, stress susceptibility, and related neuropsychiatric disorders.

  20. Mining of luxS genes from rumen microbial consortia by metagenomic and metatranscriptomic approaches.

    Science.gov (United States)

    Ghali, Ines; Shinkai, Takumi; Mitsumori, Makoto

    2016-05-01

    Although rumen bacterial communities vary depending on many factors such as diet, age and physiological conditions, a core microbiota exists within the rumen. In many natural environments, some bacteria use a quorum-sensing (QS) system to regulate their physiological activities. However, very limited information is available about QS systems in rumen. To investigate the autoinducer 2 (AI-2)-mediated QS system in rumen, we detected genes (luxS) encoding the AI-2 synthase (LuxS), from three datasets embedded in metagenomics RAST server (MG-RAST) and from a metatranscriptome dataset. We collected 135 luxS genes from the metagenomic datasets, which were presumed to originate from Bacteroidetes, Firmicutes, Fusobacteria and Actinobacteria, and 34 luxS genes from the metatranscriptome dataset, which probably originated from Bacteroidetes, Firmicutes and Spirochaetes. Because the essential amino acids for LuxS activity were conserved in the LuxS homologues predicted from luxS gene sequences from both datasets, the LuxS homologues probably function in the rumen. Since the largest number of sequences of luxS genes were collected from the genera Prevotella, Ruminococcus and Eubacterium, which include many fibrolytic bacteria and constituent members of biofilm on feed particles, an AI-2-mediated QS system is likely involved in biofilm formation and fibrolytic activity in the rumen. PMID:26277986

  1. Evaluation of microbial population and functional genes during the bioremediation of petroleum-contaminated soil as an effective monitoring approach.

    Science.gov (United States)

    Shahi, Aiyoub; Aydin, Sevcan; Ince, Bahar; Ince, Orhan

    2016-03-01

    This study investigated the abundance and diversity of soil n-alkane and polycyclic aromatic hydrocarbon (PAH)-degrading bacterial communities. It also investigated the quantity of the functional genes, the occurrence of horizontal gene transfer (HGT) in the identified bacterial communities and the effect that such HGT can have on biostimulation process. Illumina sequencing was used to detect the microbial diversity of petroleum-polluted soil prior to the biostimulation process, and quantitative real-time PCR was used to determine changes in the bacterial community and functional genes (alkB, phnAc and nah) expressions throughout the biostimulation of petroleum-contaminated soil. The illumine results revealed that γ-proteobacteria, Chloroflexi, Firmicutes, and δ-proteobacteria were the most dominant bacterial phyla in the contaminated site, and that most of the strains were Gram-negative. The results of the gene expression results revealed that gram-negative bacteria and alkB are critical to successful bioremediation. Failure to maintain the stability of hydrocarbon-degrading bacteria and functional gene will reduce the extend to which alkanes and PAHs are degraded. According to the results of the study, the application of a C:N:P ratio of was 100:15:1 in the biodegradation experiment resulted in the highest rate at which petroleum hydrocarbons were biodegraded. The diversity of pollutant-degrading bacteria and the effective transfer of degrading genes among resident microorganisms are essential factors for the successful biostimulation of petroleum hydrocarbons. As such, screening these factors throughout the biostimulation process represents an effective monitoring approach by which the success of the biostimulation can be assessed. PMID:26685788

  2. Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset

    Directory of Open Access Journals (Sweden)

    Gidrol Xavier

    2008-02-01

    Full Text Available Abstract Background Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interactions may be modelled by a Bayesian Network (BN that represents the presence of direct interactions from regulators to regulees by conditional probability distributions. We used enhanced evolutionary algorithms to stochastically evolve a set of candidate BN structures and found the model that best fits data without prior knowledge. Results We proposed various evolutionary strategies suitable for the task and tested our choices using simulated data drawn from a given bio-realistic network of 35 nodes, the so-called insulin network, which has been used in the literature for benchmarking. We assessed the inferred models against this reference to obtain statistical performance results. We then compared performances of evolutionary algorithms using two kinds of recombination operators that operate at different scales in the graphs. We introduced a niching strategy that reinforces diversity through the population and avoided trapping of the algorithm in one local minimum in the early steps of learning. We show the limited effect of the mutation operator when niching is applied. Finally, we compared our best evolutionary approach with various well known learning algorithms (MCMC, K2, greedy search, TPDA, MMHC devoted to BN structure learning. Conclusion We studied the behaviour of an evolutionary approach enhanced by niching for the learning of gene regulatory networks with BN. We show that this approach outperforms classical structure learning methods in elucidating the original model. These results were obtained for the learning of a bio-realistic network and, more importantly, on various small datasets. This is a suitable approach for learning transcriptional regulatory networks from real datasets without prior knowledge.

  3. Seeking signatures of reinforcement at the genetic level: a hitchhiking mapping and candidate gene approach in the house mouse

    Science.gov (United States)

    Caminade, Pierre; Thoma, Marios; Latour, Yasmin; Roux, Camille; Thoss, Michaela; Penn, Dustin J.; Ganem, Guila; Boursot, Pierre

    2016-01-01

    Reinforcement is the process by which prezygotic isolation is strengthened as a response to selection against hybridisation. Most empirical support for reinforcement comes from the observation of its possible phenotypic signature: an accentuated degree of prezygotic isolation in the hybrid zone as compared to allopatry. Here, we implemented a novel approach to this question by seeking for the signature of reinforcement at the genetic level. In the house mouse, selection against hybrids and enhanced olfactory-based assortative mate preferences are observed in a hybrid zone between the two European subspecies Mus musculus musculus and M. m. domesticus, suggesting a possible recent reinforcement event. To test for the genetic signature of reinforcing selection and identify genes involved in sexual isolation, we adopted a hitchhiking mapping approach targeting genomic regions containing candidate genes for assortative mating in mice. We densely scanned these genomic regions in hybrid zone and allopatric samples using a large number of fast evolving microsatellite loci that allow the detection of recent selection events. We found a handful of loci showing the expected pattern of significant reduction of variability in populations close to the hybrid zone and showing assortative odour preference in mate choice experiments as compared to populations further away and displaying no such preference. These loci lie close to genes that we pinpoint as testable candidates for further investigation. PMID:26132782

  4. Optical tracking of organically modified silica nanoparticles as DNA carriers: A nonviral, nanomedicine approach for gene delivery

    Science.gov (United States)

    Roy, Indrajit; Ohulchanskyy, Tymish Y.; Bharali, Dhruba J.; Pudavar, Haridas E.; Mistretta, Ruth A.; Kaur, Navjot; Prasad, Paras N.

    2005-01-01

    This article reports a multidisciplinary approach to produce fluorescently labeled organically modified silica nanoparticles as a nonviral vector for gene delivery and biophotonics methods to optically monitor intracellular trafficking and gene transfection. Highly monodispersed, stable aqueous suspensions of organically modified silica nanoparticles, encapsulating fluorescent dyes and surface functionalized by cationic-amino groups, are produced by micellar nanochemistry. Gel-electrophoresis studies reveal that the particles efficiently complex with DNA and protect it from enzymatic digestion of DNase 1. The electrostatic binding of DNA onto the surface of the nanoparticles, due to positively charged amino groups, is also shown by intercalating an appropriate dye into the DNA and observing the Förster (fluorescence) resonance energy transfer between the dye (energy donor) intercalated in DNA on the surface of nanoparticles and a second dye (energy acceptor) inside the nanoparticles. Imaging by fluorescence confocal microscopy shows that cells efficiently take up the nanoparticles in vitro in the cytoplasm, and the nanoparticles deliver DNA to the nucleus. The use of plasmid encoding enhanced GFP allowed us to demonstrate the process of gene transfection in cultured cells. Our work shows that the nanomedicine approach, with nanoparticles acting as a drug-delivery platform combining multiple optical and other types of probes, provides a promising direction for targeted therapy with enhanced efficacy as well as for real-time monitoring of drug action. nonviral vector | ORMOSIL nanoparticles | confocal microscopy

  5. Transformation of GbSGT1 gene into banana by an Agrobacterium-mediated approach

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    SGT1 is a homologue of the yeast ubiquitin ligase-associated protein. It controls some protein degradation and activates defense pathway in plants. Cotton GbSGT1 gene (Gossypium barbadense) has been isolated and characterized in previous work. In this study, the plant expression vector pBSGT1 with bar gene as a selection agent was constructed and transgenic banana was obtained via Agrobacterium-mediated transformation with the assistance of particle bombardment and screened with PCR and Basta spreading on banana plant leaves. Estimating of transgenic banana plants for resistance to Panama wilt is in progress.

  6. A novel approach to quantitative ultrasonic naked gene delivery and its non-invasive assessment.

    Science.gov (United States)

    Wei, Wang; Zhengzhong, Bian; Yongjie, Wu; Lafeng, Yan; Yalin, Miao

    2004-12-01

    The purpose of this study was to investigate practical, safe, easy-to-use, non-cytotoxic, and reliable parameters to apply to an ultrasound (US) naked gene therapy system. The ultrasound pressure at the point of cell exposure was measured using a calibrated hydrophone and the intensity calculated. An acoustic power meter calibrated using a hydrophone was used to measure the power of the transducer. Four cell types were exposed to US with different exposure times and intensities. Fluorescent microscopy, spectrophotometry, scanning electron microscope, laser scanning confocal microscopy, flow cytometry and histogram analysis were used to evaluate the results of the study. The plasmid of green fluorescent protein (GFP) served as the reporter gene. The energy accumulation E in US gene delivery for 90% cell survival was defined as the optimal parameters (E=3.56+/-0.06), and at 80% cell survival was defined as the damage threshold (E=59.67+/-3.54). US safely delivered GFP into S180 cells (35.1 kHz) at these optimal parameters without obvious damage or cytotoxity in vitro. Exposed cell function was proved normal in vivo. The transfection rate was 35.83+/-2.53% (n=6) in viable cells, corresponding to 90.17+/-1.47% (n=6) cell viability. The intensity of GFP expression showed a higher fluorescent peak in the group of adeno-associated virus GFP vector (AVV-GFP) than in the control group (P<0.001). The effect of US gene delivery and cell viability correlated as a fifth order polynomial with US intensity and exposure time. With optimal parameters, US can safely deliver naked a gene into a cell without damage to cell function. Both optimal uptake and expression of gene depend on the energy E at 90% cell survival. E can be applied as a control factor for bioeffects when combined with other parameters. Stable caviation results in optimal parameters for gene delivery and the transient caviation may cause cell damage, which will bring about a sharp rise of permeabilization. The

  7. Ecotoxicological diagnosis of striped dolphin (Stenella coeruleoalba) from the Mediterranean basin by skin biopsy and gene expression approach.

    Science.gov (United States)

    Panti, Cristina; Spinsanti, Giacomo; Marsili, Letizia; Casini, Silvia; Frati, Francesco; Fossi, Maria Cristina

    2011-11-01

    Mediterranean cetacean odontocetes are exposed to environmental stress, in particular to persistent organic pollutants, polycyclic aromatic hydrocarbons and trace elements. In the present study, the response of "gene-expression biomarkers" was evaluated in Mediterranean striped dolphin (Stenella coeruleoalba) skin biopsies collected in three sampling areas: Pelagos sanctuary (Ligurian sea), Ionian sea, and Strait of Gibraltar. The mRNA levels of five putative biomarker genes (aryl hydrocarbon receptor, E2F-1 transcription factor, cytochrome P450 1A, estrogen receptor 1, and heat shock protein 70) were measured for the first time by quantitative real-time PCR in cetacean skin biopsies. The different responses of most of the genes reflected contamination levels in the three sampling areas. Pelagos sanctuary dolphins appeared to be the most exposed to toxicological stress, having the highest up-regulation of CYP1A and AHR. Moreover, a cluster analysis distinguished the populations on the basis of the gene expression biomarker used in our study, showing different pattern between Mediterranean sea and Strait of Gibraltar. Our results suggest that this molecular approach applied to non-destructive biopsy material is a powerful diagnostic tool for evaluating ecotoxicological impact on cetacean populations. PMID:21695511

  8. Matching ERP System Functionality to Customer Requirements

    OpenAIRE

    Rolland, Colette; Prakash, Naveen

    2001-01-01

    International audience Although procuring Enterprise Resource Planning systems from commercial suppliers is becoming increasingly popular in our industry, fitting those systems to customer requirements remains problematic. In this paper, we propose an approach for matching ERP system functionality to customer requirements. The assumption made is that the ERP system postulates a set of requirements that are worth eliciting from the ERP documentation as abstractions of the ERP system functio...

  9. Impedance Matched Absorptive Thermal Blocking Filters

    CERN Document Server

    Wollack, E J; Rostem, K; U-Yen, K

    2014-01-01

    We have designed, fabricated and characterized absorptive thermal blocking filters for cryogenic microwave applications. The transmission line filter's input characteristic impedance is designed to match $50\\,\\Omega$ and its response has been validated from 0-to-50\\,GHz. The observed return loss in the 0-to-20\\,GHz design band is greater than $20\\,$dB and shows graceful degradation with frequency. Design considerations and equations are provided that enable this approach to be scaled and modified for use in other applications.

  10. Genetic Susceptibility to Vitiligo: GWAS Approaches for Identifying Vitiligo Susceptibility Genes and Loci.

    Science.gov (United States)

    Shen, Changbing; Gao, Jing; Sheng, Yujun; Dou, Jinfa; Zhou, Fusheng; Zheng, Xiaodong; Ko, Randy; Tang, Xianfa; Zhu, Caihong; Yin, Xianyong; Sun, Liangdan; Cui, Yong; Zhang, Xuejun

    2016-01-01

    Vitiligo is an autoimmune disease with a strong genetic component, characterized by areas of depigmented skin resulting from loss of epidermal melanocytes. Genetic factors are known to play key roles in vitiligo through discoveries in association studies and family studies. Previously, vitiligo susceptibility genes were mainly revealed through linkage analysis and candidate gene studies. Recently, our understanding of the genetic basis of vitiligo has been rapidly advancing through genome-wide association study (GWAS). More than 40 robust susceptible loci have been identified and confirmed to be associated with vitiligo by using GWAS. Most of these associated genes participate in important pathways involved in the pathogenesis of vitiligo. Many susceptible loci with unknown functions in the pathogenesis of vitiligo have also been identified, indicating that additional molecular mechanisms may contribute to the risk of developing vitiligo. In this review, we summarize the key loci that are of genome-wide significance, which have been shown to influence vitiligo risk. These genetic loci may help build the foundation for genetic diagnosis and personalize treatment for patients with vitiligo in the future. However, substantial additional studies, including gene-targeted and functional studies, are required to confirm the causality of the genetic variants and their biological relevance in the development of vitiligo. PMID:26870082

  11. Identification of a strawberry flavor gene candidate using an integrated genetic-genomic-analytical chemistry approach

    Science.gov (United States)

    Background: There is interest in improving the flavor of commercial strawberry (Fragaria × ananassa) varieties. Fruit flavor is shaped by combinations of sugars, acids and volatile compounds. Many efforts seek to use genomics-based strategies to identify genes controlling flavor, and then designing ...

  12. Candidate fire blight resistance genes in Malus identified with the use of genomic tools and approaches

    Science.gov (United States)

    The goal of this research is to utilize current advances in Rosaceae genomics to identify DNA markers for use in marker-assisted selection of durable resistance to fire blight. Candidate fire blight resistance genes were selected and ranked based upon differential expression after inoculation with ...

  13. A NEW APPROACH TO GENE DIAGNOSIS OF DUCHENNE/BECKER MUSCULAR DYSTROPHY AMPLIFIED FRAGMENT LENGTH POLYMORPHISMS

    Institute of Scientific and Technical Information of China (English)

    许顺斌; 黄尚志; 罗会元

    1994-01-01

    Four (CA), repeats, located in introns,44,45,49 and 50 of the dystrophin gene,were evaluated in Chinese.These loci are highly polymorphic,with polymorphism information contents of 0.872,0.772,0.870 and 0.718,respectively.All four loci can be easily amplified and labelled using two duplex PCR reactions with α-32P-dCTP and can be detected by denaturing polyacrylamide gel electrophoresis.Using these four loci and the two polymorphic(CA)n repeats located at the 5′ and 3′ ends of the dystrophin gene,we have developed a new PCR-based procedure-Amp-FLP( amplified fragment length polymorphism)linkage analysis for the gene diagnosis of DMD/BMD.This method can detect intragenic recombination rapidly and efficiently and greatly improves the success rate of carrier deterction and prenatal diagnosis in non-deletion DMD/BMD families.All of the loci used in this procedure are intragenic.In addition ,the loci in introns 44,45,49 and 50 are located in the deletion-prone region of the dystrophin gene,making them valuable and usefui in the identification of deletion mutations.Here we report one case of deletion detection using these four loci.

  14. A bioinformatics approach to the determination of genes involved in endophytic behavior in Burkholderia spp.

    Science.gov (United States)

    Ali, Shimaila; Duan, Jin; Charles, Trevor C; Glick, Bernard R

    2014-02-21

    The vast majority of plants harbor endophytic bacteria that colonize a portion of the plant's interior tissues without harming the plant. Like plant pathogens, endophytes gain entry into their plants hosts through various mechanisms. Bacterial endophytes display a broad range of symbiotic interactions with their host plants. The molecular bases of these plant-endophyte interactions are currently not fully understood. In the present study, a set of genes possibly responsible for endophytic behavior for genus Burkholderia was predicted and then compared and contrasted with a number (nine endophytes from different genera) of endophytes by comparative genome analysis. The nine endophytes included Burkholderia phytofirmans PsJN, Burkholderia spp. strain JK006, Azospirillum lipoferum 4B, Enterobacter cloacae ENHKU01, Klebsiella pneumoniae 342, Pseudomonas putida W619, Enterobacter spp. 638, Azoarcus spp. BH72, and Serratia proteamaculans 568. From the genomes of the analyzed bacterial strains, a set of bacterial genes orthologs was identified that are predicted to be involved in determining the endophytic behavior of Burkholderia spp. The genes and their possible functions were then investigated to establish a potential connection between their presence and the role they play in bacterial endophytic behavior. Nearly all of the genes identified by this bioinformatics procedure encode function previously suggested in other studies to be involved in endophytic behavior. PMID:24513137

  15. A new physical mapping approach refines the sex-determining gene positions on the Silene latifolia Y-chromosome

    Science.gov (United States)

    Kazama, Yusuke; Ishii, Kotaro; Aonuma, Wataru; Ikeda, Tokihiro; Kawamoto, Hiroki; Koizumi, Ayako; Filatov, Dmitry A.; Chibalina, Margarita; Bergero, Roberta; Charlesworth, Deborah; Abe, Tomoko; Kawano, Shigeyuki

    2016-01-01

    Sex chromosomes are particularly interesting regions of the genome for both molecular genetics and evolutionary studies; yet, for most species, we lack basic information, such as the gene order along the chromosome. Because they lack recombination, Y-linked genes cannot be mapped genetically, leaving physical mapping as the only option for establishing the extent of synteny and homology with the X chromosome. Here, we developed a novel and general method for deletion mapping of non-recombining regions by solving “the travelling salesman problem”, and evaluate its accuracy using simulated datasets. Unlike the existing radiation hybrid approach, this method allows us to combine deletion mutants from different experiments and sources. We applied our method to a set of newly generated deletion mutants in the dioecious plant Silene latifolia and refined the locations of the sex-determining loci on its Y chromosome map.

  16. Identification of bacteria associated with underground parts of Crocus sativus by 16S rRNA gene targeted metagenomic approach.

    Science.gov (United States)

    Ambardar, Sheetal; Sangwan, Naseer; Manjula, A; Rajendhran, J; Gunasekaran, P; Lal, Rup; Vakhlu, Jyoti

    2014-10-01

    Saffron (Crocus sativus L), an autumn-flowering perennial sterile plant, reproduces vegetatively by underground corms. Saffron has biannual corm-root cycle that makes it an interesting candidate to study microbial dynamics in its rhizosphere and cormosphere (area under influence of corm). Culture independent 16S rRNA gene metagenomic study of rhizosphere and cormosphere of Saffron during flowering stage revealed presence of 22 genera but none of the genus was common in all the three samples. Bulk soil bacterial community was represented by 13 genera with Acidobacteria being dominant. In rhizosphere, out of eight different genera identified, Pseudomonas was the most dominant genus. Cormosphere bacteria comprised of six different genera, dominated by the genus Pantoea. This study revealed that the bacterial composition of all the three samples is significantly different (P rhizosphere, cormosphere and bulk soil of Saffron, using cultivation independent 16S rRNA gene targeted metagenomic approach. PMID:24989343

  17. Classification of Micro Array Gene Expression Data using Factor Analysis Approach with Naïve Bayesian Classifier

    Directory of Open Access Journals (Sweden)

    Tamilselvi Madeswaran

    2013-10-01

    Full Text Available Microarray data studies produce large number of data and in order to analyze such large micro array data lies on Data mining or Statistical Analysis. Our objective is to classify the micro arraygene expression data. Usually before going for the classification the dimensionality reduction will be performed on the micro array gene expression dataset. A statistical approach for the extraction of thegene has been proposed. The drawback in the statistical analysis is that, it doesn’t identify the important genes. Here for the classification process we use k-nearest neighbor and SVM and Naïve Bayesian classifiers. From the experimental result our proposed classifiers show increase in the efficiency and accuracy.

  18. Statistical methods for history matching

    DEFF Research Database (Denmark)

    Johansen, Kent

    Denne afhandling beskriver statistiske metoder til history matching af olieproduktion. History matching er en vigtig del af driften af et oliefelt og er ofte forbundet med problemer relateret til kompleksiteten af reservoiret og selve størrelsen af reservoirsimuleringsmodellen. Begrebet history...... matching dækker over arbejdsprocessen, hvor de fysiske parametre i en reservoirsimuleringsmodel bliver justeret således, at en simulering af olieproduktionen stemmer overens med egentlige målte produktionsdata. Mange history matching metoder er baseret på et geostatistisk fundament, hvilket også gør sig...... gældende for de to stokastiske metoder omhandlet i denne afhandling. Derfor er en solid viden om geostatistik en forudsætning for at forstå disse metoder. En anden vigtig del af history matching er reservoir simulering. Den matematiske baggrund for strømning af fluider i porøse medier præsenteres sammen...

  19. Detection of antibiotic resistance genes in wastewater treatment plant – molecular and classical approach

    Directory of Open Access Journals (Sweden)

    Ziembińska-Buczyńska Aleksandra

    2015-12-01

    Full Text Available Antibiotics are a group of substances potentially harmful to the environment. They can play a role in bacterial resistance transfer among pathogenic and non-pathogenic bacteria. In this experiment three representatives of medically important chemotherapeutics, confirmed to be present in high concentrations in wastewater treatment plants with HPLC analysis were used: erythromycin, sulfamethoxazole and trimethoprim. Erythromycin concentration in activated sludge was not higher than 20 ng L−1. N-acetylo-sulfamethoxazole concentration was 3349 ± 719 in winter and 2933 ± 429 ng L−1 in summer. Trimethoprim was present in wastewater at concentrations 400 ± 22 and 364 ± 60 ng L−1, respectively in winter and summer. Due to a wide variety of PCR-detectable resistance mechanisms towards these substances, the most common found in literature was chosen. For erythromycin: erm and mef genes, for sulfamethoxazole: sul1, sul2, sul3 genes, in the case of trimethoprim resistance dhfrA1 and dhfr14 were used in this study. The presence of resistance genes were analyzed in pure strains isolated from activated sludge and in the activated sludge sample itself. The research revealed that the value of minimal inhibitory concentration (MIC did not correspond with the expected presence of more than one resistance mechanisms. Most of the isolates possessed only one of the genes responsible for a particular chemotherapeutic resistance. It was confirmed that it is possible to monitor the presence of resistance genes directly in activated sludge using PCR. Due to the limited isolates number used in the experiment these results should be regarded as preliminary.

  20. Novel approach to abuse the hyperactive K-Ras pathway for adenoviral gene therapy of colorectal cancer

    International Nuclear Information System (INIS)

    Background: Functional activation of oncogenic K-Ras signaling pathway plays an important role in the early events of colorectal carcinogenesis (CRC). K-Ras proto-oncogene is involved in 35–40% of CRC cases. Mutations in the Ras gene trigger the transduction of proliferative and anti-apoptotic signals, even in the absence of extra cellular stimuli. The objective of the current study was to use a gene-targeting approach to kill human CRC cells selectively harboring mutated K-Ras. Results: A recombinant adenovirus that carries a lethal gene, PUMA, under the control of a Ras responsive promoter (Ad-Py4-SV40-PUMA) was used selectively to target CRC cells (HCT116, SW480, DLD1 and RIE-Ras) that possess a hyperactive Ras pathway while using HT29 and RIE cells as a control that harbors wild type Ras and exhibit very low Ras activity. Control vector, without the Ras responsive promoter elements was used to assess the specificity of our “gene therapy” approach. Both adenoviral vectors were assed in vitro and in xenograft model in vivo. Ad-Py4-SV40-PUMA showed high potency to induce ∼ 50% apoptosis in vitro, to abolish completely tumor formation by infecting cells with the Ad-Py4-SV40-PUMA prior xenografting them in nude mice and high ability to suppress by ∼ 35% tumor progression in vivo in already established tumors. Conclusions: Selective targeting of CRC cells with the activated Ras pathway may be a novel and effective therapy in CRC. The high potency of this adenoviral vector may help to overcome an undetectable micro metastasis that is the major hurdle in challenging with CRC.

  1. Novel approach to abuse the hyperactive K-Ras pathway for adenoviral gene therapy of colorectal cancer

    Energy Technology Data Exchange (ETDEWEB)

    Naumov, Inna [Integrated Cancer Prevention Center, Tel Aviv (Israel); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv (Israel); Kazanov, Dina [Integrated Cancer Prevention Center, Tel Aviv (Israel); Lisiansky, Victoria [Integrated Cancer Prevention Center, Tel Aviv (Israel); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv (Israel); Starr, Alex [Lung and Allergy Institute, Tel Aviv Sourasky Medical Center, Tel Aviv (Israel); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv (Israel); Aroch, Ilan; Shapira, Shiran; Kraus, Sarah [Integrated Cancer Prevention Center, Tel Aviv (Israel); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv (Israel); Arber, Nadir, E-mail: narber@post.tau.ac.il [Integrated Cancer Prevention Center, Tel Aviv (Israel); Department of Gastroenterology, Tel Aviv Sourasky Medical Center, Tel Aviv (Israel); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv (Israel)

    2012-01-15

    Background: Functional activation of oncogenic K-Ras signaling pathway plays an important role in the early events of colorectal carcinogenesis (CRC). K-Ras proto-oncogene is involved in 35-40% of CRC cases. Mutations in the Ras gene trigger the transduction of proliferative and anti-apoptotic signals, even in the absence of extra cellular stimuli. The objective of the current study was to use a gene-targeting approach to kill human CRC cells selectively harboring mutated K-Ras. Results: A recombinant adenovirus that carries a lethal gene, PUMA, under the control of a Ras responsive promoter (Ad-Py4-SV40-PUMA) was used selectively to target CRC cells (HCT116, SW480, DLD1 and RIE-Ras) that possess a hyperactive Ras pathway while using HT29 and RIE cells as a control that harbors wild type Ras and exhibit very low Ras activity. Control vector, without the Ras responsive promoter elements was used to assess the specificity of our 'gene therapy' approach. Both adenoviral vectors were assed in vitro and in xenograft model in vivo. Ad-Py4-SV40-PUMA showed high potency to induce {approx} 50% apoptosis in vitro, to abolish completely tumor formation by infecting cells with the Ad-Py4-SV40-PUMA prior xenografting them in nude mice and high ability to suppress by {approx} 35% tumor progression in vivo in already established tumors. Conclusions: Selective targeting of CRC cells with the activated Ras pathway may be a novel and effective therapy in CRC. The high potency of this adenoviral vector may help to overcome an undetectable micro metastasis that is the major hurdle in challenging with CRC.

  2. Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cells

    OpenAIRE

    Arasappan, Dhivya; Tong, Weida; Mummaneni, Padmaja; Fang, Hong; Amur, Shashi

    2011-01-01

    Background A number of publications have reported the use of microarray technology to identify gene expression signatures to infer mechanisms and pathways associated with systemic lupus erythematosus (SLE) in human peripheral blood mononuclear cells. However, meta-analysis approaches with microarray data have not been well-explored in SLE. Methods In this study, a pathway-based meta-analysis was applied to four independent gene expression oligonucleotide microarray data sets to identify gene ...

  3. Dietary approaches to stop hypertension influence on insulin receptor substrate-1gene expression: A randomized controlled clinical trial

    Directory of Open Access Journals (Sweden)

    Marzieh Kafeshani

    2015-01-01

    Full Text Available Background: Insulin receptor substrate (IRS Type 1 is a main substrate for the insulin receptor, controls insulin signaling in skeletal muscle, adipose tissue, and the vascular, so it is an important candidate gene for insulin resistance (IR. We aimed to compare the effects of the Dietary Approaches to Stop Hypertension (DASH and Usual Dietary Advices (UDA on IRS1 gene expression in women at risk for cardiovascular disease. Materials and Methods: A randomized controlled clinical trial was performed in 44 women at risk for cardiovascular disease. Participants were randomly assigned to a UDA diet or the DASH diet. The DASH diet was rich in fruits, vegetables, whole grains, and low-fat dairy products and low in saturated fat, total fat, cholesterol, refined grains, and sweets, with a total of 2400 mg/day sodium. The UDA diet was a regular diet with healthy dietary advice. Gene expression was assessed by the real-time polymerase chain reaction at the first of study and after 12 weeks. Independent sample t-test and paired-samples t-test were used to compare means of all variables within and between two groups respectively. Results: IRS1 gene expression was increased in DASH group compared with UDA diet (P = 0.00. Weight and waist circumference decreased in DASH group significantly compared to the UDA group (P < 0.05 but the results between the two groups showed no significant difference. Conclusion: DASH diet increased IRS1 gene expression and probably has beneficial effects on IR risks.

  4. Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data

    Science.gov (United States)

    Müller, Christian; Schillert, Arne; Röthemeier, Caroline; Trégouët, David-Alexandre; Proust, Carole; Binder, Harald; Pfeiffer, Norbert; Beutel, Manfred; Lackner, Karl J.; Schnabel, Renate B.; Tiret, Laurence; Wild, Philipp S.; Blankenberg, Stefan

    2016-01-01

    Technical variation plays an important role in microarray-based gene expression studies, and batch effects explain a large proportion of this noise. It is therefore mandatory to eliminate technical variation while maintaining biological variability. Several strategies have been proposed for the removal of batch effects, although they have not been evaluated in large-scale longitudinal gene expression data. In this study, we aimed at identifying a suitable method for batch effect removal in a large study of microarray-based longitudinal gene expression. Monocytic gene expression was measured in 1092 participants of the Gutenberg Health Study at baseline and 5-year follow up. Replicates of selected samples were measured at both time points to identify technical variability. Deming regression, Passing-Bablok regression, linear mixed models, non-linear models as well as ReplicateRUV and ComBat were applied to eliminate batch effects between replicates. In a second step, quantile normalization prior to batch effect correction was performed for each method. Technical variation between batches was evaluated by principal component analysis. Associations between body mass index and transcriptomes were calculated before and after batch removal. Results from association analyses were compared to evaluate maintenance of biological variability. Quantile normalization, separately performed in each batch, combined with ComBat successfully reduced batch effects and maintained biological variability. ReplicateRUV performed perfectly in the replicate data subset of the study, but failed when applied to all samples. All other methods did not substantially reduce batch effects in the replicate data subset. Quantile normalization plus ComBat appears to be a valuable approach for batch correction in longitudinal gene expression data. PMID:27272489

  5. Advances in combining gene therapy with cell and tissue engineering-based approaches to enhance healing of the meniscus.

    Science.gov (United States)

    Cucchiarini, M; McNulty, A L; Mauck, R L; Setton, L A; Guilak, F; Madry, H

    2016-08-01

    Meniscal lesions are common problems in orthopaedic surgery and sports medicine, and injury or loss of the meniscus accelerates the onset of knee osteoarthritis (OA). Despite a variety of therapeutic options in the clinics, there is a critical need for improved treatments to enhance meniscal repair. In this regard, combining gene-, cell-, and tissue engineering-based approaches is an attractive strategy to generate novel, effective therapies to treat meniscal lesions. In the present work, we provide an overview of the tools currently available to improve meniscal repair and discuss the progress and remaining challenges for potential future translation in patients. PMID:27063441

  6. Use of linkage disequilibrium approaches to map genes for bipolar disorder in the Costa Rican population

    Energy Technology Data Exchange (ETDEWEB)

    Escamilla, M.A.; Reus, V.I.; Smith, L.B.; Freimer, N.B. [Univ. of California, San Francisco, CA (United States)] [and others

    1996-05-31

    Linkage disequilibrium (LD) analysis provides a powerful means for screening the genome to map the location of disease genes, such as those for bipolar disorder (BP). As described in this paper, the population of the Central Valley of Costa Rica, which is descended from a small number of founders, should be suitable for LD mapping; this assertion is supported by reconstruction of extended haplotypes shared by distantly related individuals in this population suffering low-frequency hearing loss (LFHL1), which has previously been mapped by linkage analysis. A sampling strategy is described for applying LD methods to map genes for BP, and clinical and demographic characteristics of an initially collected sample are discussed. This sample will provide a complement to a previously collected set of Costa Rican BP families which is under investigation using standard linkage analysis. 42 refs., 4 figs., 2 tabs.

  7. A PiggyBac-mediated approach for muscle gene transfer or cell therapy

    OpenAIRE

    Déborah Ley; Ruthger Van Zwieten; Stefania Puttini; Pavithra Iyer; Alessia Cochard; Nicolas Mermod

    2014-01-01

    An emerging therapeutic approach for Duchenne muscular dystrophy is the transplantation of autologous myogenic progenitor cells genetically modified to express dystrophin. The use of this approach is challenged by the difficulty in maintaining these cells ex vivo while keeping their myogenic potential, and ensuring sufficient transgene expression following their transplantation and myogenic differentiation in vivo. We investigated the use of the piggyBac transposon system to achieve stable ge...

  8. Characterization of broad-spectrum antibiotic resistance genes in wastewater treatment reactors through metagenomic approaches

    OpenAIRE

    Yang, Ying; 楊穎

    2014-01-01

    The spread of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) have attracted great concerns worldwide. Wastewater treatment plants (WWTPs) are reservoirs of ARGs while wastewater/sludge treatment processes are considered as important means to control these emerging biological pollutants. However, the full profiles of ARGs in WWTPs or the removal efficiency of ARGs by wastewater/sludge treatment process was not well characterized yet. Thus, the major tasks in this st...

  9. EGIA–evolutionary optimisation of gene regulatory networks, an integrative approach

    OpenAIRE

    Sirbu, Alina; Crane, Martin; Ruskin, Heather J

    2013-01-01

    Quantitative modelling of gene regulatory networks (GRNs) is still limited by data issues such as noise and the restricted length of available time series, creating an under-determination problem. However, large amounts of other types of biological data and knowledge are available, such as knockout experiments, annotations and so on, and it has been postulated that integration of these can improve model quality. However, integration has not been fully explored, to date. Here, we present...

  10. An ex vivo Gene Therapy Approach to Treat Muscular Dystrophy Using inducible Pluripotent Stem Cells

    OpenAIRE

    Filareto, Antonio; Parker, Sarah; Darabi, Radbod; Borges, Luciene; Iacovino, Michelina; Schaaf, Tory; Mayerhofer, Timothy; Jeffrey S. Chamberlain; Ervasti, James M.; McIvor, R. Scott; Kyba, Michael; Perlingeiro, Rita C. R.

    2013-01-01

    Duchenne muscular dystrophy is a progressive and incurable neuromuscular disease caused by genetic and biochemical defects of the dystrophin-glycoprotein complex. Here we show the regenerative potential of myogenic progenitors derived from corrected dystrophic induced pluripotent stem (iPS) cells generated from fibroblasts of mice lacking both dystrophin and utrophin. We correct the phenotype of dystrophic iPS cells using a Sleeping Beauty transposon carrying the micro-utrophin (μUTRN) gene, ...

  11. An Evolutionary Genomic Approach to Identify Genes Involved in Human Birth Timing

    OpenAIRE

    Jevon Plunkett; Scott Doniger; Guilherme Orabona; Thomas Morgan; Ritva Haataja; Mikko Hallman; Hilkka Puttonen; Ramkumar Menon; Edward Kuczynski; Errol Norwitz; Victoria Snegovskikh; Aarno Palotie; Leena Peltonen; Vineta Fellman; DeFranco, Emily A

    2010-01-01

    Coordination of fetal maturation with birth timing is essential for mammalian reproduction. In humans, preterm birth is a disorder of profound global health significance. The signals initiating parturition in humans have remained elusive, due to divergence in physiological mechanisms between humans and model organisms typically studied. Because of relatively large human head size and narrow birth canal cross-sectional area compared to other primates, we hypothesized that genes involved in par...

  12. Metagenomic approach reveals variation of microbes with arsenic and antimony metabolism genes from highly contaminated soil.

    Directory of Open Access Journals (Sweden)

    Jinming Luo

    Full Text Available Microbes have great potential for arsenic (As and antimony (Sb bioremediation in heavily contaminated soil because they have the ability to biotransform As and Sb to species that have less toxicity or are more easily removed. In this study, we integrated a metagenomic method with physicochemical characterization to elucidate the composition of microbial community and functional genes (related to As and Sb in a high As (range from 34.11 to 821.23 mg kg-1 and Sb (range from 226.67 to 3923.07 mg kg-1 contaminated mine field. Metagenomic analysis revealed that microbes from 18 phyla were present in the 5 samples of soil contaminated with high As and Sb. Moreover, redundancy analysis (RDA of the relationship between the 18 phyla and the concentration of As and Sb demonstrated that 5 phyla of microbes, i.e. Actinobacteria, Firmicutes, Nitrospirae, Tenericutes and Gemmatimonadetes were positively correlated with As and Sb concentration. The distribution, diversity and abundance of functional genes (including arsC, arrA, aioA, arsB and ACR3 were much higher for the samples containing higher As and Sb concentrations. Based on correlation analysis, the results showed a positive relationship between arsC-like (R2 = 0.871 and aioA-like (R2 = 0.675 gene abundance and As concentration, and indicated that intracellular As(V reduction and As(III oxidation could be the dominant As detoxification mechanism enabling the microbes to survive in the environment. This study provides a direct and reliable reference on the diversity of microbial community and functional genes in an extremely high concentration As- and Sb-contaminated environment.

  13. Comparison of Merging and Meta-Analysis as Alternative Approaches for Integrative Gene Expression Analysis

    OpenAIRE

    Jonatan Taminau; Cosmin Lazar; Stijn Meganck; Ann Nowé

    2014-01-01

    An increasing amount of microarray gene expression data sets is available through public repositories. Their huge potential in making new findings is yet to be unlocked by making them available for large-scale analysis. In order to do so it is essential that independent studies designed for similar biological problems can be integrated, so that new insights can be obtained. These insights would remain undiscovered when analyzing the individual data sets because it is well known that the small...

  14. Evaluation of matching cost on the ISPRS stereo matching benchmark

    Science.gov (United States)

    Yue, Qingxing; Tang, Xinming; Gao, Xiaoming

    2015-12-01

    In this paper we evaluated several typical matching costs including CENSUS, mutual information (MI) and the normalized cross correlation using the ISPRS Stereo Matching Benchmark datasets for DSM generation by stereo matching. Two kinds of global optimization algorithms including semi-global matching (SGM) and graph cuts (GC) were used as optimization method. We used a sub-pixel method to obtain more accurate MI lookup table and a sub-pixel method was also used when computing cost by MI lookup table. MI itself is sensitive to partial radiation differences. So we used a kind of cost combined MI and CENSUS. After DSM generation, the deviation data between the generated DSM and Lidar was statistics out to compute the mean deviation (Mean), the median deviation (Med), the standard deviation (Stdev), the normalized median absolute deviation (NMAD), the percentage of deviation in tolerance etc., which were used to evaluate the accuracy of DSM generated from different cost.

  15. COMPUTATIONAL APPROACH FOR DESIGNING AND DEVELOPMENT OF POTENT DRUG INHIBITOR FOR APP GENE IN ALZHEIMER'S DISEASE

    Directory of Open Access Journals (Sweden)

    Santosh Kumar Behera*, Ritesh Kumar Behera and Manas Ranjan Barik

    2013-03-01

    Full Text Available ABSTRACT: Alzheimer’s disease (AD is an irreversible, progressive brain disease that slowly destroys memory and thinking skills, reasoning, planning, language, and perception, and eventually even the ability to carry out the simplest tasks. Many scientists believe that Alzheimer's disease results from an increase in the production or accumulation of a specific protein (beta-amyloid protein in the brain that leads to nerve cell death. The brains of people with AD have an abundance of two abnormal structures amyloid plaques and neurofibrillary tangles that are made of misfolded proteins. This is especially true in certain regions of the brain that are important in memory. In people with Alzheimer's disease, deposits called amyloid plaques build up in the brain. These are composed, in part, of a protein called beta-amyloid, which is a fragment of the amyloid precursor protein (APP. A mutation in the gene that makes APP is believed to be responsible for 5 to 20 percent of all early onset familial Alzheimer's disease. People with a mutation in the APP gene tend to develop Alzheimer's disease at around age 50. The present work deals with the designing a suitable drug by molecular docking which acts on the APP gene to regulate the amyloid plagues formation in the brain.

  16. History Matching in Parallel Computational Environments

    Energy Technology Data Exchange (ETDEWEB)

    Steven Bryant; Sanjay Srinivasan; Alvaro Barrera; Yonghwee Kim; Sharad Yadav

    2006-08-31

    A novel methodology for delineating multiple reservoir domains for the purpose of history matching in a distributed computing environment has been proposed. A fully probabilistic approach to perturb permeability within the delineated zones is implemented. The combination of robust schemes for identifying reservoir zones and distributed computing significantly increase the accuracy and efficiency of the probabilistic approach. The information pertaining to the permeability variations in the reservoir that is contained in dynamic data is calibrated in terms of a deformation parameter rD. This information is merged with the prior geologic information in order to generate permeability models consistent with the observed dynamic data as well as the prior geology. The relationship between dynamic response data and reservoir attributes may vary in different regions of the reservoir due to spatial variations in reservoir attributes, well configuration, flow constrains etc. The probabilistic approach then has to account for multiple r{sub D} values in different regions of the reservoir. In order to delineate reservoir domains that can be characterized with different r{sub D} parameters, principal component analysis (PCA) of the Hessian matrix has been done. The Hessian matrix summarizes the sensitivity of the objective function at a given step of the history matching to model parameters. It also measures the interaction of the parameters in affecting the objective function. The basic premise of PC analysis is to isolate the most sensitive and least correlated regions. The eigenvectors obtained during the PCA are suitably scaled and appropriate grid block volume cut-offs are defined such that the resultant domains are neither too large (which increases interactions between domains) nor too small (implying ineffective history matching). The delineation of domains requires calculation of Hessian, which could be computationally costly and as well as restricts the current

  17. Optimizing matching and analysis combinations for estimating causal effects

    Science.gov (United States)

    Colson, K. Ellicott; Rudolph, Kara E.; Zimmerman, Scott C.; Goin, Dana E.; Stuart, Elizabeth A.; Laan, Mark Van Der; Ahern, Jennifer

    2016-03-01

    Matching methods are common in studies across many disciplines. However, there is limited evidence on how to optimally combine matching with subsequent analysis approaches to minimize bias and maximize efficiency for the quantity of interest. We conducted simulations to compare the performance of a wide variety of matching methods and analysis approaches in terms of bias, variance, and mean squared error (MSE). We then compared these approaches in an applied example of an employment training program. The results indicate that combining full matching with double robust analysis performed best in both the simulations and the applied example, particularly when combined with machine learning estimation methods. To reduce bias, current guidelines advise researchers to select the technique with the best post-matching covariate balance, but this work finds that such an approach does not always minimize mean squared error (MSE). These findings have important implications for future research utilizing matching. To minimize MSE, investigators should consider additional diagnostics, and use of simulations tailored to the study of interest to identify the optimal matching and analysis combination.

  18. No difference in the frequency of locus-specific methylation in the peripheral blood DNA of women diagnosed with breast cancer and age-matched controls

    DEFF Research Database (Denmark)

    Wojdacz, Tomasz K; Thestrup, Britta Boserup; Cold, Søren;

    2011-01-01

    might predispose for cancer development. Here, we have used the methlyation-sensitive high-resolution melting approach to examine the methylation status of the BRCA1, BRCA2, APC, RASSF1A and RARβ2 genes in PBLs of a group of women diagnosed with breast cancer, and an age-matched control group with no...... signs of breast cancer. No significant differences in the frequency of methylation of the above genes were found between cases and controls in our study. Hence, testing for the presence of methylation of cancer-related genes in PBL DNA from women diagnosed with sporadic breast cancer and classified for...

  19. Unintended Changes in Genetically Modified Rice Expressing the Lysine-Rich Fusion Protein Gene Revealed by a Proteomics Approach

    Institute of Scientific and Technical Information of China (English)

    ZHAO Xiang-xiang; TANG Tang; LIU Fu-xia; LU Chang-li; HU Xiao-lan; JI Li-lian; LIU Qiao-quan

    2013-01-01

    Development of new technologies for evaluating genetically modiifed (GM) crops has revealed that there are unintended insertions and expression changes in GM crops. Proifling techniques are non-targeted approaches and are capable of detecting more unintended changes in GM crops. Here, we report the application of a comparative proteomic approach to investigate the protein proifle differences between a GM rice line, which has a lysine-rich protein gene, and its non-transgenic parental line. Proteome analysis by two-dimensional gel electrophoresis (2-DE) and mass spectrum analysis of the seeds identiifed 22 differentially expressed protein spots. Apart from a number of glutelins that were detected as targeted proteins in the GM line, the majority of the other changed proteins were involved in carbohydrate metabolism, protein synthesis and stress responses. These results indicated that the altered proteins were not associated with plant allergens or toxicity.

  20. Algorithmics of matching under preferences

    CERN Document Server

    Manlove, David

    2013-01-01

    Matching problems with preferences are all around us - they arise when agents seek to be allocated to one another on the basis of ranked preferences over potential outcomes. Efficient algorithms are needed for producing matchings that optimise the satisfaction of the agents according to their preference lists.In recent years there has been a sharp increase in the study of algorithmic aspects of matching problems with preferences, partly reflecting the growing number of applications of these problems worldwide. This book describes the most important results in this area, providing a timely upda

  1. Automated spectral classification using template matching

    Institute of Scientific and Technical Information of China (English)

    Fu-Qing Duan; Rong Liu; Ping Guo; Ming-Quan Zhou; Fu-Chao Wu

    2009-01-01

    An automated spectral classification technique for large sky surveys is pro-posed. We firstly perform spectral line matching to determine redshift candidates for an observed spectrum, and then estimate the spectral class by measuring the similarity be-tween the observed spectrum and the shifted templates for each redshift candidate. As a byproduct of this approach, the spectral redshift can also be obtained with high accuracy. Compared with some approaches based on computerized learning methods in the liter-ature, the proposed approach needs no training, which is time-consuming and sensitive to selection of the training set. Both simulated data and observed spectra are used to test the approach; the results show that the proposed method is efficient, and it can achieve a correct classification rate as high as 92.9%, 97.9% and 98.8% for stars, galaxies and quasars, respectively.

  2. Stress-sensitive neurosignalling in depression: an integrated network biology approach to candidate gene selection for genetic association analysis

    Directory of Open Access Journals (Sweden)

    J. Anke M. van Eekelen

    2012-07-01

    Full Text Available Genetic risk for depressive disorders is poorly understood despite consistent suggestions of a high heritable component. Most genetic studies have focused on risk associated with single variants, a strategy which has so far only yielded small (often non-replicable risks for depressive disorders. In this paper we argue that more substantial risks are likely to emerge from genetic variants acting in synergy within and across larger neurobiological systems (polygenic risk factors. We show how knowledge of major integrated neurobiological systems provides a robust basis for defining and testing theoretically defensible polygenic risk factors. We do this by describing the architecture of the overall stress response. Maladaptation via impaired stress responsiveness is central to the aetiology of depression and anxiety and provides a framework for a systems biology approach to candidate gene selection. We propose principles for identifying genes and gene networks within the neurosystems involved in the stress response and for defining polygenic risk factors based on the neurobiology of stress-related behaviour. We conclude that knowledge of the neurobiology of the stress response system is likely to play a central role in future efforts to improve genetic prediction of depression and related disorders.

  3. Direct detection and differentiation of pathogenic Leptospira species using a multi-gene targeted real time PCR approach.

    Science.gov (United States)

    Ferreira, Ana Sofia; Costa, Pedro; Rocha, Teresa; Amaro, Ana; Vieira, Maria Luísa; Ahmed, Ahmed; Thompson, Gertrude; Hartskeerl, Rudy A; Inácio, João

    2014-01-01

    Leptospirosis is a growing public and veterinary health concern caused by pathogenic species of Leptospira. Rapid and reliable laboratory tests for the direct detection of leptospiral infections in animals are in high demand not only to improve diagnosis but also for understanding the epidemiology of the disease. In this work we describe a novel and simple TaqMan-based multi-gene targeted real-time PCR approach able to detect and differentiate Leptospira interrogans, L. kirschneri, L. borgpeteresenii and L. noguchii, which constitute the veterinary most relevant pathogenic species of Leptospira. The method uses sets of species-specific probes, and respective flanking primers, designed from ompL1 and secY gene sequences. To monitor the presence of inhibitors, a duplex amplification assay targeting both the mammal β-actin and the leptospiral lipL32 genes was implemented. The analytical sensitivity of all primer and probe sets was estimated to be Dolichotis patagonum and Sus domesticus). Two samples were infected with L. borgpetersenii, two with L. interrogans and one with L. kirschneri. The possibility to detect and identify these pathogenic agents to the species level in domestic and wildlife animals reinforces the diagnostic information and will enhance our understanding of the epidemiology of leptopirosis. PMID:25398140

  4. PR gene families of citrus: their organ specific-biotic and abiotic inducible expression profiles based on ESTs approach

    Directory of Open Access Journals (Sweden)

    Magnólia A. Campos

    2007-01-01

    Full Text Available In silico expression profiles, of the discovered 3,103 citrus ESTs putatively encoding for PR protein families (PR-1 to PR-17, were evaluated using the Brazil citrus genome EST CitEST/database. Hierarchical clustering was displayed to identify similarities in expression patterns among citrus PR-like gene families (PRlgf in 33 selected cDNA libraries. In this way, PRlgf preferentially expressed by organ and citrus species, and library conditions were highlighted. Changes in expression profiles of clusters for each of the 17 PRlgf expressed in organs infected by pathogens or drought-stressed citrus species were displayed for relative suppression or induction gene expression in relation to the counterpart control. Overall, few PRlgf showed expression 2-fold higher in pathogen-infected than in uninfected organs, even though the differential expression profiles displayed have been quite diverse among studied species and organs. Furthermore, an insight into some contigs from four PRlgf pointed out putative members of multigene families. They appear to be evolutionarily conserved within citrus species and/or organ- or stress-specifically expressed. Our results represent a starting point regarding the extent of expression pattern differences underlying PRlgf expression and reveal genes that may prove to be useful in studies regarding biotechnological approaches or citrus resistance markers.

  5. ANGIOTENSIN I CONVERTING ENZYME GENE POLYMORPHISM AND EXERCISE TRAINABILITY IN ELDERLY WOMEN: AN ELECTROCARDIOLOGICAL APPROACH

    Directory of Open Access Journals (Sweden)

    Takuro Tobina

    2007-06-01

    Full Text Available Angiotensin I converting enzyme (ACE gene Insertion / Deletion (I/D polymorphism is associated with exercise trainability and exercise induced left ventricular hypertrophy. However, it is unclear whether this polymorphism influences exercise trainability in the elderly, and the electrocardiological alterations by exercise training is unknown among the genotypes. We herein investigated the association between ACE gene insertion/deletion (I/D polymorphism, exercise trainability and the electrocardiological alternations by exercise in elderly women. Eighty four elderly women participated in this study. In all subjects the leg extension power (LEP and lactate threshold (LT were determined in order to evaluate the muscle strength, aerobic capacity and to also select the appropriate training intensity for each individual. They performed bench step exercise training for 12 weeks. A resting electrocardiogram was recorded for the obtained QTc interval in before and after the program. The baseline of aerobic capacity was higher in I/I than that in I/D, and the QTc interval was shorter in I/I than that in I/D. All other characteristics were similar among the genotypes. The QTc interval tended to be shorten only in the D/D. Furthermore, the value of the QTc interval change showed a significant difference between the I/I and D/D genotype after the program. The LT and LEP demonstrated a similar response among the genotypes. The D allele of ACE gene I/D polymorphism may therefore play a role in the electrocardiological aspect during exercise training, however, it was not found to influence the aerobic capacity

  6. A multi-gene approach reveals a complex evolutionary history in the Cyanistes species group.

    Science.gov (United States)

    Illera, Juan Carlos; Koivula, Kari; Broggi, Juli; Päckert, Martin; Martens, Jochen; Kvist, Laura

    2011-10-01

    Quaternary climatic oscillations have been considered decisive in shaping much of the phylogeographic structure around the Mediterranean Basin. Within this paradigm, peripheral islands are usually considered as the endpoints of the colonization processes. Here, we use nuclear and mitochondrial markers to investigate the phylogeography of the blue tit complex (blue tit Cyanistes caeruleus, Canary blue tit C. teneriffae and azure tit C. cyanus), and assess the role of the Canary Islands for the geographic structuring of genetic variation. The Canary blue tit exhibits strong genetic differentiation within the Canary Islands and, in combination with other related continental species, provides an ideal model in which to examine recent differentiation within a closely related group of continental and oceanic island avian species. We analysed DNA sequences from 51 breeding populations and more than 400 individuals in the blue tit complex. Discrepancies in the nuclear and mitochondrial gene trees provided evidence of a complex evolutionary process around the Mediterranean Basin. Coalescent analyses revealed gene flow between C. caeruleus and C. teneriffae suggesting a dynamic process with multiple phases of colonization and geographic overlapping ranges. Microsatellite data indicated strong genetic differentiation among the Canary Islands and between the Canary archipelago and the close continental areas, indicating limited contemporary gene flow. Diversification of the blue tit complex is estimated to have started during the early Pliocene (≈ 5 Ma), coincident with the end of Messinian salinity crisis. Phylogenetic analyses indicated that the North African blue tit is derived from the Canary blue tits, a pattern is avian 'back colonization' that contrasts with more traditionally held views of islands being sinks rather than sources. PMID:21880092

  7. Rational design of modular circuits for gene transcription: A test of the bottom-up approach

    OpenAIRE

    Giordano Emanuele; Furini Simone; Ceroni Francesca; Cavalcanti Silvio

    2010-01-01

    Abstract Background Most of synthetic circuits developed so far have been designed by an ad hoc approach, using a small number of components (i.e. LacI, TetR) and a trial and error strategy. We are at the point where an increasing number of modular, inter-changeable and well-characterized components is needed to expand the construction of synthetic devices and to allow a rational approach to the design. Results We used interchangeable modular biological parts to create a set of novel syntheti...

  8. Approximate Matching of Hierarchial Data

    DEFF Research Database (Denmark)

    Augsten, Nikolaus

    formally proof that the pq-gram index can be incrementally updated based on the log of edit operations without reconstructing intermediate tree versions. The incremental update is independent of the data size and scales to a large number of changes in the data. We introduce windowed pq-grams for the......-gram based distance between streets, introduces a global greedy matching that guarantees stable pairs, and links addresses that are stored with different granularity. The connector has been successfully tested with public administration databases. Our extensive experiments on both synthetic and real world......The goal of this thesis is to design, develop, and evaluate new methods for the approximate matching of hierarchical data represented as labeled trees. In approximate matching scenarios two items should be matched if they are similar. Computing the similarity between labeled trees is hard as in...

  9. Matched Spectral Filter Imager Project

    Data.gov (United States)

    National Aeronautics and Space Administration — OPTRA proposes the development of an imaging spectrometer for greenhouse gas and volcanic gas imaging based on matched spectral filtering and compressive imaging....

  10. Designing self-matching linacs

    International Nuclear Information System (INIS)

    The present trend in ion-linac design is to begin with a radio-frequency quadrupole (RFQ) linac followed by one or more drift-tube linac (DTL) tanks in which permanent-magnet quadrupoles are used for transverse focusing. The lack of adjustable elements (knobs) strongly suggests that one should seek linac designs with intertank matching solutions that are insensitive to beam currents and emittances, which can be accomplished if there are no sharp discontinuities in the focusing properties along the entire linac. Guidelines are presented for linac design and describe techniques for longitudinal as well as transverse matching between tanks. For a wide range of beam currents and emittances, a beam matched at the entrance to the RFQ should remain well matched throughout the entire linac

  11. New Effective Multithreaded Matching Algorithms

    Energy Technology Data Exchange (ETDEWEB)

    Manne, Fredrik; Halappanavar, Mahantesh

    2014-05-19

    Matching is an important combinatorial problem with a number of applications in areas such as community detection, sparse linear algebra, and network alignment. Since computing optimal matchings can be very time consuming, several fast approximation algorithms, both sequential and parallel, have been suggested. Common to the algorithms giving the best solutions is that they tend to be sequential by nature, while algorithms more suitable for parallel computation give solutions of less quality. We present a new simple 1 2 -approximation algorithm for the weighted matching problem. This algorithm is both faster than any other suggested sequential 1 2 -approximation algorithm on almost all inputs and also scales better than previous multithreaded algorithms. We further extend this to a general scalable multithreaded algorithm that computes matchings of weight comparable with the best sequential algorithms. The performance of the suggested algorithms is documented through extensive experiments on different multithreaded architectures.

  12. A high throughput Chromatin ImmunoPrecipitation approach reveals principles of dynamic gene regulation in mammals

    OpenAIRE

    Garber, Manuel; Yosef, Nir; Goren, Alon; Raychowdhury, Raktima; Thielke, Anne; Guttman, Mitchell; Robinson, James; Minie, Brian; Chevrier, Nicolas; Itzhaki, Zohar; Blecher-Gonen, Ronnie; Bornstein, Chamutal; Amann-Zalcenstein, Daniela; Weiner, Assaf; Friedrich, Dennis

    2012-01-01

    Understanding the principles governing mammalian gene regulation has been hampered by the difficulty in measuring in-vivo binding dynamics of large numbers of transcription factors (TF) to DNA. Here, we develop a high-throughput Chromatin ImmunoPrecipitation (HT-ChIP) method to systematically map protein-DNA interactions. HT-ChIP was applied to define the dynamics of DNA binding by 25 TFs and 4 chromatin marks at 4 time-points following pathogen stimulus of dendritic cells. Analyzing over 180...

  13. The Genetic Basis of Quality of Life in Healthy Swedish Women: A Candidate Gene Approach

    OpenAIRE

    Dounya Schoormans; Jingmei Li; Hatef Darabi; Yvonne Brandberg; Sprangers, Mirjam A. G.; Mikael Eriksson; Zwinderman, Koos H.; Per Hall

    2015-01-01

    Background Quality of life (QoL) is an increasingly important parameter in clinical practice as it predicts mortality and poor health outcomes. It is hypothesized that one may have a genetic predisposition for QoL. We therefore related 139 candidate genes, selected through a literature search, to QoL in healthy females. Methods In 5,142 healthy females, background characteristics (i.e. demographic, clinical, lifestyle, and psychological factors) were assessed. QoL was measured by the EORTC QL...

  14. Computational Approaches to the Identification and Characterization of Non-Coding RNA Genes

    OpenAIRE

    Larsson, Pontus

    2009-01-01

    Non-coding RNAs (ncRNAs) have emerged as highly diverse and powerful key players in the cell, the range of capabilities spanning from catalyzing essential processes in all living organisms, e.g. protein synthesis, to being highly specific regulators of gene expression. To fully understand the functional significance of ncRNAs, it is of critical importance to identify and characterize the repertoire of ncRNAs in the cell. Practically every genome-wide screen to identify ncRNAs has revealed lar...

  15. AN APPROACH TO THE PARASITISM GENES OF THE ROOT KNOT NEMATODE

    Directory of Open Access Journals (Sweden)

    Nongmaithem B. Devi

    2012-12-01

    Full Text Available Plant parasitic nematodes which are highly successful parasites evolved a very specialized feeding relationship with the host plant to cause the destructive root-knot disease. They initiate their parasitic relationship with the host by releasing their secretions into root cells which in turn stimulate the root cells of the host to become specialized feeding cells which are considered as the single source of nutrients essential for the nematode's survival. The parasitism genes expressed in nematode's esophageal gland cells encode secretory proteins that are released through its stylet to direct the interactions of the nematode with its host plants.

  16. An Incentive Theory of Matching

    OpenAIRE

    Dennis Snower; Christian Merkl; Alessio J. G. Brown

    2010-01-01

    We construct a theoretical model explaining two-sided selection through microeconomic incentives. Firms face adjustment costs in responding to heterogeneous variations in the characteristics of workers and jobs. Matches and separations are described through firms' job offer and firing decisions and workers' job acceptance and quit decisions. Our calibrated model for the U.S. can account for important empirical regularities that the conventional matching model cannot.

  17. Matching games with partial information

    OpenAIRE

    Paolo Laureti Yi-Cheng Zhang

    2003-01-01

    We analyze different ways of pairing agents in a bipartite matching problem, with regard to its scaling properties and to the distribution of individual ``satisfactions''. Then we explore the role of partial information and bounded rationality in a generalized {\\it Marriage Problem}, comparing the benefits obtained by self-searching and by a matchmaker. Finally we propose a modified matching game intended to mimic the way consumers' information makes firms to enhance the quality of their prod...

  18. Minimalist surface-colour matching

    OpenAIRE

    Amano, Kinjiro; Foster, David H.; Nascimento, Sérgio M. C.

    2005-01-01

    Some theories of surface-colour perception assume that observers estimate the illuminant on a scene so that its effects can be discounted. A critical test of this interpretation of colour constancy is whether surface-colour matching is worse when the number of surfaces in a scene is so small that any illuminant estimate is unreliable. In the experiment reported here, observers made asymmetric colour matches between pairs of simultaneously presented Mondrian-like patterns under different dayli...

  19. Procedurally fair and stable matching

    OpenAIRE

    Klaus, Bettina; Klijn, Flip

    2006-01-01

    We motivate procedural fairness for matching mechanisms and study two procedurally fair and stable mechanisms: employment by lotto (Aldershof et al., 1999) and the random order mechanism (Roth and Vande Vate, 1990, Ma, 1996). For both mechanisms we give various examples of probability distributions on the set of stable matchings and discuss properties that differentiate employment by lotto and the random order mechanism. Finally, we consider an adjustment of the random order mechanism, the eq...

  20. SEMI-GLOBAL MATCHING IN OBJECT SPACE

    OpenAIRE

    Bethmann, F.; T. Luhmann

    2015-01-01

    Semi-Global Matching (SGM) is a widespread algorithm for image matching which is used for very different applications, ranging from real-time applications (e.g. for generating 3D data for driver assistance systems) to aerial image matching. Originally developed for stereo-image matching, several extensions have been proposed to use more than two images within the matching process (multi-baseline matching, multi-view stereo). These extensions still perform the image matching in (rectified) ste...

  1. An ex vivo gene therapy approach to treat muscular dystrophy using inducible pluripotent stem cells.

    Science.gov (United States)

    Filareto, Antonio; Parker, Sarah; Darabi, Radbod; Borges, Luciene; Iacovino, Michelina; Schaaf, Tory; Mayerhofer, Timothy; Chamberlain, Jeffrey S; Ervasti, James M; McIvor, R Scott; Kyba, Michael; Perlingeiro, Rita C R

    2013-01-01

    Duchenne muscular dystrophy is a progressive and incurable neuromuscular disease caused by genetic and biochemical defects of the dystrophin-glycoprotein complex. Here we show the regenerative potential of myogenic progenitors derived from corrected dystrophic induced pluripotent stem cells generated from fibroblasts of mice lacking both dystrophin and utrophin. We correct the phenotype of dystrophic induced pluripotent stem cells using a Sleeping Beauty transposon system carrying the micro-utrophin gene, differentiate these cells into skeletal muscle progenitors and transplant them back into dystrophic mice. Engrafted muscles displayed large numbers of micro-utrophin-positive myofibers, with biochemically restored dystrophin-glycoprotein complex and improved contractile strength. The transplanted cells seed the satellite cell compartment, responded properly to injury and exhibit neuromuscular synapses. We also detect muscle engraftment after systemic delivery of these corrected progenitors. These results represent an important advance towards the future treatment of muscular dystrophies using genetically corrected autologous induced pluripotent stem cells. PMID:23462992

  2. Self-organizing Approach for Automated Gene Identification in Whole Genomes

    CERN Document Server

    Gorban, A N; Popova, T G; Gorban, Alexander N.; Zinovyev, Andrey Yu.; Popova, Tatyana G.

    2001-01-01

    An approach based on using the idea of distinguished coding phase in explicit form for identification of protein-coding regions (exons) in whole genome has been proposed. For several genomes an optimal window length for averaging GC-content function and calculating codon frequencies has been found. Self-training procedure based on clustering in multidimensional space of triplet frequencies is proposed. For visualization of data in the space of triplet requiencies method of elastic maps was applied.

  3. Genome-wide approaches for identifying genes involved in the maintenance of genomic stability

    OpenAIRE

    Segura Wang, Maia

    2015-01-01

    The maintenance of genomic stability and the repair of DNA damage are essential for the survival of all cells. Despite diverse pathways for repair of DNA lesions, different mutations can arise, ranging from Single Nucleotide Variants (SNVs) to larger Structu- ral Variants (SVs). The processes that play a role in the formation of these alterations are not fully understood. In this thesis, I present two complementary approaches for accumulating genomic variants and for identifying pathways invo...

  4. Self-organizing Approach for Automated Gene Identification in Whole Genomes

    OpenAIRE

    Gorban, Alexander N; Zinovyev, Andrey Yu.; Popova, Tatyana G.

    2001-01-01

    An approach based on using the idea of distinguished coding phase in explicit form for identification of protein-coding regions (exons) in whole genome has been proposed. For several genomes an optimal window length for averaging GC-content function and calculating codon frequencies has been found. Self-training procedure based on clustering in multidimensional space of triplet frequencies is proposed. For visualization of data in the space of triplet requiencies method of elastic maps was ap...

  5. Fingerprint Matching and Non-Matching Analysis for Different Tolerance Rotation Degrees in Commercial Matching Algorithms

    Directory of Open Access Journals (Sweden)

    A. J. Perez-Diaz

    2010-08-01

    Full Text Available Fingerprint verification is the most important step in the fingerprint-based biometric systems. The matching score islinked to the chance of identifying a person. Nowadays, two fingerprint matching methods are the most popular: thecorrelation-based method and the minutiae-based method. In this work, three biometric systems were evaluated:Neurotechnology Verifinger 6.0 Extended, Innovatrics IDKit SDK and Griaule Fingerprint SDK 2007. The evaluationwas performed according to the experiments of the Fingerprint Verification Competition (FVC. The influence of thefingerprint rotation degrees on false match rate (FMR and false non-match rate (FNMR was evaluated. The resultsshowed that the FMR values increase as rotation degrees increase too, meanwhile, the FNMR values decrease.Experimental results demonstrate that Verifinger SDK shows good performance on false non-match testing, with anFNMR mean of 7%, followed by IDKit SDK (6.71% ~ 13.66% and Fingerprint SDK (50%. However, Fingerprint SDKdemonstrates a better performance on false match testing, with an FMR mean of ~0%, followed by Verifinger SDK(7.62% - 9% and IDKit SDK (above 28%. As result of the experiments, Verifinger SDK had, in general, the bestperformance. Subsequently, we calculated the regression functions to predict the behavior of FNMR and FMR fordifferent threshold values with different rotation degrees.

  6. Association study of inflammatory genes with rheumatic heart disease in North Indian population: A multi-analytical approach.

    Science.gov (United States)

    Gupta, Usha; Mir, Snober S; Garg, Naveen; Agarwal, Surendra K; Pande, Shantanu; Mittal, Balraj

    2016-06-01

    Rheumatic heart disease (RHD) is an inflammatory, autoimmune disease; occurring as a consequence of group A streptococcal infection complicated by rheumatic fever (RF). An inappropriate immune response is the central signature tune to the complex pathogenesis of RHD. However, some of those infected develop RHD, and genetic host susceptibility factors are thought to play a key role in diseasedevelopment. Therefore, the present study was designed to explore the role of genetic variants in inflammatory genes in conferring risk of RHD. The study recruited total of 700 subjects, including 400 RHD patients and 300 healthy controls. We examined the associations of 8 selected polymorphisms in seven inflammatory genes: IL-6 [rs1800795G/C], IL-10 [rs1800896G/A], TNF-A [rs1800629G/A], IL-1β [rs2853550C/T], IL-1VNTR [rs2234663], TGF-β1 [rs1800469C/T]; [rs1982073T/C], and CTLA-4 [rs5742909C/T] with RHD risk. Genotyping for all the polymorphisms was done using PCR-ARMS/PCR/RFLP methods. Multifactor dimensionality reduction and classification and regression tree approaches were combined with logistic regression to discover high-order gene-gene interactions in studiedgenes involved in RHD susceptibility.In univariate logistic regression analysis, we found significant association of variant-containing genotypes (CT&TT) of TGF-β1 869T/C [rs1982073]; [p=0.0.004 & 0.001, OR (95% CI)=1.65 (1.2-2.3) & 2.25 (1.4-3.6) respectively], variant genotype (CC) of IL-1β -511C/T [rs2853550]; [p=0.001, OR (95% CI)=2.33 (1.4-3.8)] and IL-1 VNTR [rs2234663]; [p=0.03, OR (95% CI)=5.25 (1.2-23.4)] SNPs with RHD risk. CART analysis revealed that individuals with the combined genotypes of TGF-β1T/C_ rs1982073 (CT/TT) and IL-1 β_ rs2853550 (CC) had significantly higher susceptibility for RHD [p=0.0005, OR (95% CI)=5.91 (2.9-12.5)]. In MDR analysis, TGF-β1 869T>C yielded the highest testing accuracy of 0.562. In conclusion, using multi-analytical approaches, our study revealed important role of TGF

  7. Time Series Analysis Using Geometric Template Matching.

    Science.gov (United States)

    Frank, Jordan; Mannor, Shie; Pineau, Joelle; Precup, Doina

    2013-03-01

    We present a novel framework for analyzing univariate time series data. At the heart of the approach is a versatile algorithm for measuring the similarity of two segments of time series called geometric template matching (GeTeM). First, we use GeTeM to compute a similarity measure for clustering and nearest-neighbor classification. Next, we present a semi-supervised learning algorithm that uses the similarity measure with hierarchical clustering in order to improve classification performance when unlabeled training data are available. Finally, we present a boosting framework called TDEBOOST, which uses an ensemble of GeTeM classifiers. TDEBOOST augments the traditional boosting approach with an additional step in which the features used as inputs to the classifier are adapted at each step to improve the training error. We empirically evaluate the proposed approaches on several datasets, such as accelerometer data collected from wearable sensors and ECG data. PMID:22641699

  8. State of the Art : Automatic Ontology Matching

    OpenAIRE

    Feiyu, Lin

    2007-01-01

    This report describes the theoretical foundations and relevant background in the domain of automatic ontology matching. It aims to show the range of ontology matching, matching strategies, and an overview of ontology matching systems. The measures for evaluating ontology matching are discussed. This report also summarizes interesting research questions in the field.

  9. New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach

    Czech Academy of Sciences Publication Activity Database

    Petretto, E.; Bottolo, L.; Langley, S. R.; Heinig, M.; McDermott-Roe, Ch.; Sarwar, R.; Pravenec, Michal; Hübner, N.; Aitman, T. J.; Cook, S.A.; Richardson, S.

    2010-01-01

    Roč. 6, č. 4 (2010), e1000737. ISSN 1553-734X R&D Projects: GA ČR(CZ) GA301/08/0166; GA MŠk(CZ) 1M0520; GA ČR GAP301/10/0290 Grant ostatní: EC(XE) LSHG-CT-2005-019015; Fondation Leducq(FR) 06 CVD 03 Institutional research plan: CEZ:AV0Z50110509 Keywords : expression profiles * Bayesian multi- tissue approach * genetical genomics Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 5.515, year: 2010

  10. Bayesian computational approaches for gene regulation studies of bioethanol and biohydrogen production

    Energy Technology Data Exchange (ETDEWEB)

    Lawrence, Charles E [Brown Univ., Providence, RI (United States); Newberg, Lee [Wadsworth Center; McCue, LeeAnn [Pacific Northwest Labs; Thomspon, Williams [Brown University

    2012-03-01

    It has recently become clear that regulatory RNAs play a major role in regulation of gene expression in bacteria. RNA secondary structures play a major role in the function of many regulatory RNAs, and structural features are often key to their interaction with other cellular components. Thus, there has been considerable interest in the prediction of the secondary structures for RNA families. A paper describing our new algorithm, RNAG, to predict consensus secondary structures for unaligned sequences using the blocked Gibbs sampler has been published[1]. This sampling algorithm iteratively samples from the conditional probability distributions: P(Structure | Alignment) and P(Alignment | Structure). Subsequent to publication of the RNAG paper we have employed the technology from RNAG in the development of an RNA motif finding algorithm. To develop and RNA motif finding algorithm, RGibbs, we capitalized on our long experience in DNA motif finding and RNA secondary structure prediction. We applied RGibbs to three data sets from the literature and compared it to existing methods: one for training and two others for tests sets. In both test sets we found RGibbs out performed existing procedures.

  11. Controlling HIV-1: Non-coding RNA gene therapy approaches to a functional cure

    Directory of Open Access Journals (Sweden)

    Chantelle L Ahlenstiel

    2015-09-01

    Full Text Available The current treatment strategy for HIV-1 involves prolonged and intensive combined antiretroviral therapy (cART, which successfully suppresses plasma viremia. It has transformed HIV-1 infection into a chronic disease. However, despite the success of cART, a latent form of HIV-1 infection persists as integrated provirus in resting memory CD4+ T cells. Virus can reactivate from this reservoir upon cessation of treatment and hence HIV requires lifelong therapy. The reservoir represents a major barrier to eradication. Understanding molecular mechanisms regulating HIV-1 transcription and latency are crucial to developing alternate treatment strategies which impact upon the reservoir and provide a path towards a functional cure in which there is no detectable viremia in the absence of cART. Numerous reports have suggested ncRNAs are involved in regulating viral transcription and latency. This review will discuss the latest developments in ncRNAs, specifically short interfering (siRNA and short hairpin (shRNA, targeting molecular mechanisms of HIV-1 transcription, which may represent potential future therapeutics. It will also briefly address animal models available for testing potential therapeutics and current gene therapy clinical trials.

  12. A novel approach to cancer treatment using structural hybrids of the p53 gene family.

    Science.gov (United States)

    Sasaki, Y; Oshima, Y; Koyama, R; Tamura, M; Kashima, L; Idogawa, M; Yamashita, T; Toyota, M; Imai, K; Shinomura, Y; Tokino, T

    2012-11-01

    The p53 tumor suppressor belongs to a gene family that includes two other structurally and functionally related members: p73 and p63. The regulation of p53 activity differs significantly from that of p73 and p63. To enhance the tumor suppressive activity of p53, we constructed six recombinant adenoviruses that encode hybrid proteins with three functional domains derived from either p53 or TAp63γ. The potency of these hybrid molecules in suppressing tumorigenesis was evaluated using in vitro and in vivo models. Of the hybrid molecules tested, one hybrid named p63-53O was the most potent activator of apoptosis in human cancer cells. The p63-53O hybrid is composed of the transcriptional activation domain and DNA-binding domain of TAp63γ and the oligomerization domain of p53. The p63-53O hybrid efficiently transactivated p53AIP1. Moreover, silencing of p53AIP1 partially abolished the apoptotic response to p63-53O in human cancer cells. The p53-p63 hybrid molecule is a novel potent anti-proliferative agent for the treatment of cancer. PMID:22956039

  13. Towards optimal packed string matching

    DEFF Research Database (Denmark)

    Ben-Kiki, Oren; Bille, Philip; Breslauer, Dany;

    2014-01-01

    -time, achieving a factor α speedup over traditional algorithms that examine each character individually. Our macro-level algorithm only uses the standard AC0 instructions of the word-RAM model (i.e. no integer multiplication) plus two specialized micro-level AC0 word-size packed-string instructions. The main word-size...... string-matching instruction wssm is available in contemporary commodity processors. The other word-size maximum-suffix instruction wslm is only required during the pattern pre-processing. Benchmarks show that our solution can be efficiently implemented, unlike some prior theoretical packed string...... matching work.(b) We also consider the complexity of the packed string matching problem in the classical word-RAM model in the absence of the specialized micro-level instructions wssm and wslm. We propose micro-level algorithms for the theoretically efficient emulation using parallel algorithms techniques...

  14. Effective anisotropy through traveltime and amplitude matching

    KAUST Repository

    Wang, Hui

    2014-08-05

    Introducing anisotropy to seismic wave propagation reveals more realistic physics of our Earth\\'s subsurface as compared to the isotropic assumption. However wavefield modeling, the engine of seismic inverse problems, in anisotropic media still suffers from computational burdens, in particular with complex anisotropy such as transversely isotropic (TI) and Orthorhombic anisotropy. We develop effective isotropic velocity and density models to package the effects of anisotropy such that the wave propagation behavior using these effective models approximate those of the original anisotropic model. We build these effective models through the high frequency asymptotic approximation based on the eikonal and transport equations. We match the geometrical behavior of the wave-fields, given by traveltimes, from the anisotropic and isotropic eikonal equations. This matching yields the effective isotropic velocity that approximates the kinematics of the anisotropic wavefield. Equivalently, we calculate the effective densities by equating the anisotropic and isotropic transport equations. The effective velocities and densities are then fed into the isotropic acoustic variable density wave equation to obtain cheaper anisotropic wavefields. We justify our approach by testing it on an elliptical anisotropic model. The numerical results demonstrate a good matching of both traveltime and amplitude between anisotropic and effective isotropic wavefields.

  15. One-loop effective lagrangians after matching

    Science.gov (United States)

    del Aguila, F.; Kunszt, Z.; Santiago, J.

    2016-05-01

    We discuss the limitations of the covariant derivative expansion prescription advocated to compute the one-loop Standard Model (SM) effective lagrangian when the heavy fields couple linearly to the SM. In particular, one-loop contributions resulting from the exchange of both heavy and light fields must be explicitly taken into account through matching because the proposed functional approach alone does not account for them. We review a simple case with a heavy scalar singlet of charge -1 to illustrate the argument. As two other examples where this matching is needed and this functional method gives a vanishing result, up to renormalization of the heavy sector parameters, we re-evaluate the one-loop corrections to the T-parameter due to a heavy scalar triplet with vanishing hypercharge coupling to the Brout-Englert-Higgs boson and to a heavy vector-like quark singlet of charged 2 / 3 mixing with the top quark, respectively. In all cases we make use of a new code for matching fundamental and effective theories in models with arbitrary heavy field additions.

  16. One-loop effective lagrangians after matching

    CERN Document Server

    del Aguila, Francisco; Santiago, Jose

    2016-01-01

    We discuss the shortcomings of the recently proposed functional method to compute the one-loop Standard Model (SM) effective lagrangian when the heavy fields couple linearly to the SM. In particular, one-loop contributions resulting from the exchange of both heavy and light fields must be explicitly taken into account through matching because the proposed functional approach alone does not account for them. We review a simple case with a heavy scalar singlet of charge $-1$ to illustrate the argument. As two other examples where this matching is needed and the functional method gives a vanishing result, up to renormalization of the heavy sector parameters, we re-evaluate the one-loop corrections to the T--parameter due to a heavy scalar triplet of hypercharge $-1$ coupling to the Brout-Englert-Higgs boson and to a heavy vector-like quark singlet of charged $2/3$ mixing with the top quark, respectively. In all cases we make use of a new code for matching fundamental and effective theories in models with arbitra...

  17. Fingerprint matching algorithm for poor quality images

    Directory of Open Access Journals (Sweden)

    Vedpal Singh

    2015-04-01

    Full Text Available The main aim of this study is to establish an efficient platform for fingerprint matching for low-quality images. Generally, fingerprint matching approaches use the minutiae points for authentication. However, it is not such a reliable authentication method for low-quality images. To overcome this problem, the current study proposes a fingerprint matching methodology based on normalised cross-correlation, which would improve the performance and reduce the miscalculations during authentication. It would decrease the computational complexities. The error rate of the proposed method is 5.4%, which is less than the two-dimensional (2D dynamic programming (DP error rate of 5.6%, while Lee's method produces 5.9% and the combined method has 6.1% error rate. Genuine accept rate at 1% false accept rate is 89.3% but at 0.1% value it is 96.7%, which is higher. The outcome of this study suggests that the proposed methodology has a low error rate with minimum computational effort as compared with existing methods such as Lee's method and 2D DP and the combined method.

  18. Typed and unambiguous pattern matching on strings using regular expressions

    DEFF Research Database (Denmark)

    Brabrand, Claus; Thomsen, Jakob G.

    2010-01-01

    pinpointing all ambiguities in terms of the structure of the regular expression and report shortest ambiguous strings. We also show how pattern matching can be integrated into statically typed programming languages for deconstructing strings and reproducing typed and structured values. We validate our...... approach by giving a full implementation of the approach presented in this paper. The resulting tool, reg-exp-rec, adds typed and unambiguous pattern matching to Java in a stand-alone and non-intrusive manner. We evaluate the approach using several realistic examples....

  19. Typed and Unambiguous Pattern Matching on Strings using Regular Expressions

    DEFF Research Database (Denmark)

    Brabrand, Claus; Thomsen, Jakob Grauenkjær

    2010-01-01

    pinpointing all ambiguities in terms of the structure of the regular expression and report shortest ambiguous strings. We also show how pattern matching can be integrated into statically typed programming languages for deconstructing strings and reproducing typed and structured values. We validate our...... approach by giving a full implementation of the approach presented in this paper.  The resulting tool, reg-exp-rec, adds typed and unambiguous pattern matching to Java in a stand-alone and non-intrusive manner.  We evaluate the approach using several realistic examples....

  20. Approaches to systems biology. Four methods to study single-cell gene expression, cell motility, antibody reactivity, and respiratory metabolism

    DEFF Research Database (Denmark)

    Hagedorn, Peter

    To understand how complex systems, such as cells, function, comprehensive Measurements of their constituent parts must be made. This can be achieved by combining methods that are each optimized to measure specific parts of the system. Four such methods,each covering a different area, are presented......: Transcript profiling of one cell type extracted from a complex tissue containing several cell types; observation and recording of cell motility; measurement of antibody reactivities using microarrays; and invivo measurement of free and bound NADH in mitochondria. Detailed statistical analysis of the data...... from such measurements allows models of the system to be developed and tested. For each of the methods, such analysis and modelling approaches have beenapplied and are presented: Differentially regulated genes are identified and classified according to function; cell-specfic motility models are...

  1. Direct detection and differentiation of pathogenic Leptospira species using a multi-gene targeted real time PCR approach.

    Directory of Open Access Journals (Sweden)

    Ana Sofia Ferreira

    Full Text Available Leptospirosis is a growing public and veterinary health concern caused by pathogenic species of Leptospira. Rapid and reliable laboratory tests for the direct detection of leptospiral infections in animals are in high demand not only to improve diagnosis but also for understanding the epidemiology of the disease. In this work we describe a novel and simple TaqMan-based multi-gene targeted real-time PCR approach able to detect and differentiate Leptospira interrogans, L. kirschneri, L. borgpeteresenii and L. noguchii, which constitute the veterinary most relevant pathogenic species of Leptospira. The method uses sets of species-specific probes, and respective flanking primers, designed from ompL1 and secY gene sequences. To monitor the presence of inhibitors, a duplex amplification assay targeting both the mammal β-actin and the leptospiral lipL32 genes was implemented. The analytical sensitivity of all primer and probe sets was estimated to be <10 genome equivalents (GE in the reaction mixture. Application of the amplification reactions on genomic DNA from a variety of pathogenic and non-pathogenic Leptospira strains and other non-related bacteria revealed a 100% analytical specificity. Additionally, pathogenic leptospires were successfully detected in five out of 29 tissue samples from animals (Mus spp., Rattus spp., Dolichotis patagonum and Sus domesticus. Two samples were infected with L. borgpetersenii, two with L. interrogans and one with L. kirschneri. The possibility to detect and identify these pathogenic agents to the species level in domestic and wildlife animals reinforces the diagnostic information and will enhance our understanding of the epidemiology of leptopirosis.

  2. Matched molecular pair analysis in drug discovery.

    Science.gov (United States)

    Dossetter, Alexander G; Griffen, Edward J; Leach, Andrew G

    2013-08-01

    Multiple parameter optimisation in drug discovery is difficult, but Matched Molecular Pair Analysis (MMPA) can help. Computer algorithms can process data in an unbiased way to yield design rules and suggest better molecules, cutting the number of design cycles. The approach often makes more suggestions than can be processed manually and methods to deal with this are proposed. However, there is a paucity of contextually specific design rules, which would truly make the technique powerful. By combining extracted information from multiple sources there is an opportunity to solve this problem and advance medicinal chemistry in a matter of months rather than years. PMID:23557664

  3. Symmetric Circular Matchings and RNA Folding

    DEFF Research Database (Denmark)

    Hofacker, Ivo L.; Reidys, Christian; Stadler, Peter F.

    2012-01-01

    RNA secondary structures can be computed as optimal solutions of certain circular matching problems. An accurate treatment of this energy minimization problem has to account for the small --- but non-negligible --- entropic destabilization of secondary structures with non-trivial automorphisms....... Such intrinsic symmetries are typically excluded from algorithmic approaches, however, because the effects are small, they play a role only for RNAs with symmetries at sequence level, and they appear only in particular settings that are less frequently used in practical application, such as circular...... asymptotic results for both the circular and the co-folding version are derived....

  4. Differential distribution and abundance of diazotrophic bacterial communities across different soil niches using a gene-targeted clone library approach.

    Science.gov (United States)

    Yousuf, Basit; Kumar, Raghawendra; Mishra, Avinash; Jha, Bhavanath

    2014-11-01

    Diazotrophs are key players of the globally important biogeochemical nitrogen cycle, having a significant role in maintaining ecosystem sustainability. Saline soils are pristine and unexplored habitats representing intriguing ecosystems expected to harbour potential diazotrophs capable of adapting in extreme conditions, and these implicated organisms are largely obscure. Differential occurrence of diazotrophs was studied by the nifH gene-targeted clone library approach. Four nifH gene clone libraries were constructed from different soil niches, that is saline soils (low and high salinity; EC 3.8 and 7.1 ds m(-1) ), and agricultural and rhizosphere soil. Additionally, the abundance of diazotrophic community members was assessed using quantitative PCR. Results showed environment-dependent metabolic versatility and the presence of nitrogen-fixing bacteria affiliated with a range of taxa, encompassing members of the Alphaproteobacteria, Betaproteobacteria, Deltaproteobacteria, Gammaproteobacteria, Cyanobacteria and Firmicutes. The analyses unveiled the dominance of Alphaproteobacteria and Gammaproteobacteria (Pseudomonas, Halorhodospira, Ectothiorhodospira, Bradyrhizobium, Agrobacterium, Amorphomonas) as nitrogen fixers in coastal-saline soil ecosystems, and Alphaproteobacteria and Betaproteobacteria (Bradyrhizobium, Azohydromonas, Azospirillum, Ideonella) in agricultural/rhizosphere ecosystems. The results revealed a repertoire of novel nitrogen-fixing bacterial guilds particularly in saline soil ecosystems. PMID:25196726

  5. Production of transgenic mice carrying green fluorescence protein gene by a lentiviral vector-mediated approach

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jingzhi; GUO Xinbing; XIE Shuyang; ZHU Yiwen; HUANG Ying; WANG Shu; REN Zhaorui

    2006-01-01

    A pseudo-lentivirus, which carries green fluorescence protein (GFP) expressing cassette, was injected into the perivitelline space of murine fertilized oocytes before transplanting into the oviducts of the foster mothers. The GFP transgenic pups were then obtained. By PCR amplification, fluorescent microscopy and flow assisted cytometry sorting analysis, we found that the integration rate of the transgene was estimated at above 40%. Real-time PCR analysis indicated that the copy number of the integrated GFP cassette was around 40. Fluorescent in situ hybridization analysis demonstrated that the integration pattern was random but inheritable. The transgenic mice with multi-integration sites and various expression levels possessed a great value in practice as well as research. The approach reported herein provides an efficient way to generate and screen the transgenic mouse strains.

  6. Ice Hockey Match Prediction Using Data Mining Model

    OpenAIRE

    Matuš, Martin

    2014-01-01

    This thesis focuses on creation and comparison of ice hockey matches prediction models with the view on ice hockey world championship matches. The first part is dedicated to collecting theoretical knowledge needed for solving this problem and the second to applying this set of knowledge. The model creation approach is intertwined with the CRISP-DM data mining methodology, which also defines several chapters of this work. As input data for the models I used performance statistics of individual...

  7. New avenues for phase matching in nonlinear hyperbolic metamaterials

    OpenAIRE

    Duncan, C; L. Perret; Palomba, S; Lapine, M.; Kuhlmey, B. T.; Martijn de Sterke, C.

    2015-01-01

    Nonlinear optical processes, which are of paramount importance in science and technology, involve the generation of new frequencies. This requires phase matching to avoid that light generated at different positions interferes destructively. Of the two original approaches to achieve this, one relies on birefringence in optical crystals, and is therefore limited by the dispersion of naturally occurring materials, whereas the other, quasi-phase-matching, requires direct modulation of material pr...

  8. Light bullets by synthetic diffraction-dispersion matching

    OpenAIRE

    Lobanov, Valery E.; Kartashov, Yaroslav; Torner Sabata, Lluís

    2010-01-01

    We put forward a new approach to generate stable, fully three-dimensional light bullets, which is based on the matching of the intrinsic material dispersion with a suitable effective diffraction. The matching is achieved in adequate waveguide arrays whose refractive index is periodically modulated along the direction of light propagation. We show that by using non-conventional, out-of-phase longitudinal modulation of the refractive index of neighboring channels, it is possible to tune the eff...

  9. Brood parasites lay eggs matching the appearance of host clutches

    OpenAIRE

    Honza, Marcel; Šulc, Michal; Jelínek, Václav; Požgayová, Milica; Procházka, Petr

    2014-01-01

    Interspecific brood parasitism represents a prime example of the coevolutionary arms race where each party has evolved strategies in response to the other. Here, we investigated whether common cuckoos (Cuculus canorus) actively select nests within a host population to match the egg appearance of a particular host clutch. To achieve this goal, we quantified the degree of egg matching using the avian vision modelling approach. Randomization tests revealed that cuckoo eggs in naturally parasitiz...

  10. Establish keypoint matches on multispectral images utilizing descriptor and global information over entire image

    Science.gov (United States)

    Li, Yong; Zou, Junwei; Jing, Jing; Jin, Hongbin; Yu, Hang

    2016-05-01

    This paper proposes an approach to registering multispectral images by establishing keypoint matches. The matching ability of descriptors is characterized by the repeatability and distinctiveness that typically decrease on multispectral images. The decrease of matching ability often yields a set of keypoint matches containing a high rate of incorrect matches, and in this case the outlier matches are very difficult to be removed. To establish reliable keypoint matches, this paper proposes an approach of two stages. Firstly, keypoint matches of smaller descriptor distance are obtained as an initial set. Secondly, complementary information to the local window for computing descriptors is employed to evaluate keypoint matches and find good matches. A smaller descriptor distance for a keypoint match implies a greater probability of being correct and hence the initial set contains a higher rate of correct matches. The global information can be viewed as a means of enhancing the matching ability of descriptors, compensating the decrease of common information between multispectral images. Experimental results show that the proposed method can effectively establish keypoint matches on multispectral images of large spectral difference.

  11. The aggregate effect of dopamine genes on dependence symptoms among cocaine users: Cross-validation of a candidate system scoring approach

    OpenAIRE

    Derringer, Jaime; Robert F Krueger; Dick, Danielle M; Aliev, Fazil; Grucza, Richard A.; Saccone, Scott; Agrawal, Arpana; Edenberg, Howard J.; Goate, Alison M.; Hesselbrock, Victor M.; Kramer, John R.; Lin, Peng; Neuman, Rosalind J; Nurnberger, John I.; Rice, John P.

    2012-01-01

    Genome-wide studies of psychiatric conditions frequently fail to explain a substantial proportion of variance, and replication of individual SNP effects is rare. We demonstrate a selective scoring approach, in which variants from several genes known to directly affect the dopamine system are considered concurrently to explain individual differences in cocaine dependence symptoms. 273 SNPs from eight dopamine-related genes were tested for association with cocaine dependence symptoms in an init...

  12. Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cells

    OpenAIRE

    Fang Hong; Mummaneni Padmaja; Tong Weida; Arasappan Dhivya; Amur Shashi

    2011-01-01

    Abstract Background A number of publications have reported the use of microarray technology to identify gene expression signatures to infer mechanisms and pathways associated with systemic lupus erythematosus (SLE) in human peripheral blood mononuclear cells. However, meta-analysis approaches with microarray data have not been well-explored in SLE. Methods In this study, a pathway-based meta-analysis was applied to four independent gene expression oligonucleotide microarray data sets to ident...

  13. Synthesis of a gene for the HIV transactivator protein TAT by a novel single stranded approach involving in vivo gap repair.

    OpenAIRE

    Adams, S E; Johnson, I D; Braddock, M; Kingsman, A J; Kingsman, S M; Edwards, R M

    1988-01-01

    The synthesis of a gene for the HIV TAT protein is described using a novel approach that capitalises on the ability to synthesise oligonucleotides of greater than 100 bp in length. It involves the synthesis of large oligomers covering one strand of the desired gene in its entirety and the use of small complementary bridging and adapter oligonucleotides to direct the assembly and cloning of the large oligomers. After ligation to the cloning vector the partially single stranded intermediate is ...

  14. Monetary Exchange with Multilateral Matching

    DEFF Research Database (Denmark)

    Julien, Benoît; Kennes, John; King, Ian

    This paper analyzes monetary exchange in a search model allowing for multilateral matches to be formed, according to a standard urn-ballprocess. We consider three physical environments: indivisible goods and money, divisible goods and indivisible money, and divisible goods and money. We compare the...

  15. Acceptable Ungrammaticality in Sentence Matching

    Science.gov (United States)

    Duffield, Nigel; Matsuo, Ayumi; Roberts, Leah

    2007-01-01

    This article presents a new set of experiments using the "sentence-matching paradigm" (Forster, 1979; Freedman and Forster, 1985; see also Bley-Vroman and Masterson, 1989), investigating native speakers' and second language (L2) learners' knowledge of constraints on clitic placement in French. Our purpose is three-fold: (1) to shed more light on…

  16. Hirschberg's Algorithm for Approximate Matching

    Directory of Open Access Journals (Sweden)

    Adam Drozdek

    2002-01-01

    Full Text Available The Hirschberg algorithm was devised to solve the longest common subsequence problem. The paper discusses the way of adopting the algorithm to solve the string matching problem in linear space to determine edit distance for two strings and their alignment.

  17. Topics in combinatorial pattern matching

    DEFF Research Database (Denmark)

    Vildhøj, Hjalte Wedel

    This dissertation studies problems in the general theme of combinatorial pattern matching. More specifically, we study the following topics: Longest Common Extensions. We revisit the longest common extension (LCE) problem, that is, preprocess a string T into a compact data structure that supports...

  18. Matching of equivalent field regions

    DEFF Research Database (Denmark)

    Appel-Hansen, Jørgen; Rengarajan, S.B.

    2005-01-01

    In aperture problems, integral equations for equivalent currents are often found by enforcing matching of equivalent fields. The enforcement is made in the aperture surface region adjoining the two volumes on each side of the aperture. In the case of an aperture in a planar perfectly conducting s...

  19. Decreased approach behavior and nucleus accumbens immediate early gene expression in response to Parkinsonian ultrasonic vocalizations in rats.

    Science.gov (United States)

    Pultorak, Joshua D; Kelm-Nelson, Cynthia A; Holt, Lauren R; Blue, Katherine V; Ciucci, Michelle R; Johnson, Aaron M

    2016-08-01

    Many individuals with Parkinson disease (PD) have difficulty producing normal speech and voice, resulting in problems with interpersonal communication and reduced quality of life. Translational animal models of communicative dysfunction have been developed to assess disease pathology. However, it is unknown whether acoustic feature changes associated with vocal production deficits in these animal models lead to compromised communication. In rodents, male ultrasonic vocalizations (USVs) have a well-established role in functional inter-sexual communication. To test whether acoustic deficits in USVs observed in a PTEN-induced putative kinase 1 (PINK1) knockout (KO) PD rat model compromise communication, we presented recordings of male PINK1 KO USVs and normal wild-type (WT) USVs to female rat listeners. We measured approached behavior and immediate early gene expression (c-Fos) in brain regions implicated in auditory processing and sexual motivation. Our results suggest that females show reduced approach in response to PINK1 KO USVs compared with WT. Moreover, females exposed to PINK1 KO USVs had lower c-Fos immunolabeling in the nucleus accumbens, a region implicated in sexual motivation. These results are the first to demonstrate that vocalization deficits in a rat PD model result in compromised communication. Thus, the PINK1 KO PD model may be valuable for assessing treatments aimed at restoring vocal communicative function. PMID:26313334

  20. The approaches to mathematical modeling of recA, umuD genes expression in bacteria Escherichia coli after UV-irradiation

    International Nuclear Information System (INIS)

    The modern data of recA, umuD genes expression of the system of SOS-repair at classical object of radiation genetic researches - bacteria Escherichia coli, after ultraviolet irradiation are presented. Essentially a new method of analysis of SOS-genes expression is considered. It was shown that using this method it is possible to determine the character of induction of some SOS-genes more precisely. The possible approach to the mathematical description of SOS-response of cells by construction of the system of the differential equations is presented