WorldWideScience

Sample records for genome institute user

  1. DOE Joint Genome Institute 2008 Progress Report

    International Nuclear Information System (INIS)

    Gilbert, David

    2009-01-01

    While initially a virtual institute, the driving force behind the creation of the DOE Joint Genome Institute in Walnut Creek, California in the Fall of 1999 was the Department of Energy's commitment to sequencing the human genome. With the publication in 2004 of a trio of manuscripts describing the finished 'DOE Human Chromosomes', the Institute successfully completed its human genome mission. In the time between the creation of the Department of Energy Joint Genome Institute (DOE JGI) and completion of the Human Genome Project, sequencing and its role in biology spread to fields extending far beyond what could be imagined when the Human Genome Project first began. Accordingly, the targets of the DOE JGI's sequencing activities changed, moving from a single human genome to the genomes of large numbers of microbes, plants, and other organisms, and the community of users of DOE JGI data similarly expanded and diversified. Transitioning into operating as a user facility, the DOE JGI modeled itself after other DOE user facilities, such as synchrotron light sources and supercomputer facilities, empowering the science of large numbers of investigators working in areas of relevance to energy and the environment. The JGI's approach to being a user facility is based on the concept that by focusing state-of-the-art sequencing and analysis capabilities on the best peer-reviewed ideas drawn from a broad community of scientists, the DOE JGI will effectively encourage creative approaches to DOE mission areas and produce important science. This clearly has occurred, only partially reflected in the fact that the DOE JGI has played a major role in more than 45 papers published in just the past three years alone in Nature and Science. The involvement of a large and engaged community of users working on important problems has helped maximize the impact of JGI science. A seismic technological change is presently underway at the JGI. The Sanger capillary-based sequencing process that

  2. Joint Genome Institute's Automation Approach and History

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, Simon

    2006-07-05

    Department of Energy/Joint Genome Institute (DOE/JGI) collaborates with DOE national laboratories and community users, to advance genome science in support of the DOE missions of clean bio-energy, carbon cycling, and bioremediation.

  3. The genome portal of the Department of Energy Joint Genome Institute: 2014 updates

    Energy Technology Data Exchange (ETDEWEB)

    Nordberg, Henrik [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Cantor, Michael [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Dusheyko, Serge [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Hua, Susan [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Poliakov, Alexander [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Shabalov, Igor [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Smirnova, Tatyana [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Grigoriev, Igor V. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Dubchak, Inna [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)

    2013-11-12

    The U.S. Department of Energy (DOE) Joint Genome Institute (JGI), a national user facility, serves the diverse scientific community by providing integrated high-throughput sequencing and computational analysis to enable system-based scientific approaches in support of DOE missions related to clean energy generation and environmental characterization. The JGI Genome Portal (http://genome.jgi.doe.gov) provides unified access to all JGI genomic databases and analytical tools. The JGI maintains extensive data management systems and specialized analytical capabilities to manage and interpret complex genomic data. A user can search, download and explore multiple data sets available for all DOE JGI sequencing projects including their status, assemblies and annotations of sequenced genomes. In this paper, we describe major updates of the Genome Portal in the past 2 years with a specific emphasis on efficient handling of the rapidly growing amount of diverse genomic data accumulated in JGI.

  4. DOE Joint Genome Institute 2008 Progress Report

    Energy Technology Data Exchange (ETDEWEB)

    Gilbert, David

    2009-03-12

    While initially a virtual institute, the driving force behind the creation of the DOE Joint Genome Institute in Walnut Creek, California in the Fall of 1999 was the Department of Energy's commitment to sequencing the human genome. With the publication in 2004 of a trio of manuscripts describing the finished 'DOE Human Chromosomes', the Institute successfully completed its human genome mission. In the time between the creation of the Department of Energy Joint Genome Institute (DOE JGI) and completion of the Human Genome Project, sequencing and its role in biology spread to fields extending far beyond what could be imagined when the Human Genome Project first began. Accordingly, the targets of the DOE JGI's sequencing activities changed, moving from a single human genome to the genomes of large numbers of microbes, plants, and other organisms, and the community of users of DOE JGI data similarly expanded and diversified. Transitioning into operating as a user facility, the DOE JGI modeled itself after other DOE user facilities, such as synchrotron light sources and supercomputer facilities, empowering the science of large numbers of investigators working in areas of relevance to energy and the environment. The JGI's approach to being a user facility is based on the concept that by focusing state-of-the-art sequencing and analysis capabilities on the best peer-reviewed ideas drawn from a broad community of scientists, the DOE JGI will effectively encourage creative approaches to DOE mission areas and produce important science. This clearly has occurred, only partially reflected in the fact that the DOE JGI has played a major role in more than 45 papers published in just the past three years alone in Nature and Science. The involvement of a large and engaged community of users working on important problems has helped maximize the impact of JGI science. A seismic technological change is presently underway at the JGI. The Sanger capillary

  5. 2012 U.S. Department of Energy: Joint Genome Institute: Progress Report

    Energy Technology Data Exchange (ETDEWEB)

    Gilbert, David [DOE JGI Public Affairs Manager

    2013-01-01

    The mission of the U.S. Department of Energy Joint Genome Institute (DOE JGI) is to serve the diverse scientific community as a user facility, enabling the application of large-scale genomics and analysis of plants, microbes, and communities of microbes to address the DOE mission goals in bioenergy and the environment. The DOE JGI's sequencing efforts fall under the Eukaryote Super Program, which includes the Plant and Fungal Genomics Programs; and the Prokaryote Super Program, which includes the Microbial Genomics and Metagenomics Programs. In 2012, several projects made news for their contributions to energy and environment research.

  6. 2013 Progress Report -- DOE Joint Genome Institute

    Energy Technology Data Exchange (ETDEWEB)

    None

    2013-11-01

    In October 2012, we introduced a 10-Year Strategic Vision [http://bit.ly/JGI-Vision] for the Institute. A central focus of this Strategic Vision is to bridge the gap between sequenced genomes and an understanding of biological functions at the organism and ecosystem level. This involves the continued massive-scale generation of sequence data, complemented by orthogonal new capabilities to functionally annotate these large sequence data sets. Our Strategic Vision lays out a path to guide our decisions and ensure that the evolving set of experimental and computational capabilities available to DOE JGI users will continue to enable groundbreaking science.

  7. MUTAGEN: Multi-user tool for annotating GENomes

    DEFF Research Database (Denmark)

    Brugger, K.; Redder, P.; Skovgaard, Marie

    2003-01-01

    MUTAGEN is a free prokaryotic annotation system. It offers the advantages of genome comparison, graphical sequence browsers, search facilities and open-source for user-specific adjustments. The web-interface allows several users to access the system from standard desktop computers. The Sulfolobus...

  8. 75 FR 8374 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-02-24

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Officer, Scientific Review Branch, National Human Genome Research Institute, National Institutes of Health...

  9. 78 FR 21382 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-04-10

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... applications. Place: National Human Genome Research Institute, Suite 4076, 5635 Fisher's Lane, Bethesda, MD..., National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4075...

  10. 77 FR 8268 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2012-02-14

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... applications. Place: National Human Genome Research Institute, 5635 Fisher's Lane, Room 4076, Rockville, MD..., CIDR, National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite...

  11. 77 FR 71604 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-12-03

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special..., Scientific Review Branch, National Human Genome Research Institute, National Institutes of Health, 5635...

  12. 75 FR 53703 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-09-01

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., Scientific Review Branch, National Human Genome Research Institute, National Institutes of Health, 5635.... (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research, National Institutes of...

  13. 77 FR 74676 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-12-17

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4075, Bethesda.... 93.172, Human Genome Research, National Institutes of Health, HHS) Dated: December 11, 2012. David...

  14. 76 FR 10909 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-02-28

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4076, MSC..., Human Genome Research, National Institutes of Health, HHS). Dated: February 18, 2011. Jennifer S. Spaeth...

  15. 77 FR 35991 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-06-15

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4075, Bethesda.... 93.172, Human Genome Research, National Institutes of Health, HHS) Dated: June 8, 2012. Jennifer S...

  16. 75 FR 8977 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-02-26

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4076, MSC..., Human Genome Research, National Institutes of Health, HHS) Dated: February 18, 2010. Jennifer Spaeth...

  17. 75 FR 67380 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-11-02

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Review Branch, National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane.... (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research, National Institutes of...

  18. 76 FR 29772 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2011-05-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research... of Scientific Review, National Human Genome Research Institute, National Institutes of Health...

  19. 77 FR 5035 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2012-02-01

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research... Officer, Scientific Review Branch, National Human Genome Research Institute, National Institutes of Health...

  20. 78 FR 107 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-01-02

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... evaluate grant applications. Place: National Human Genome Research Institute, 3rd Floor Conference Room....D., Scientific Review Officer, Scientific Review Branch, National Human Genome Research Institute...

  1. 78 FR 64222 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2013-10-28

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research... Review, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, 301...

  2. 78 FR 20933 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-04-08

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... review and evaluate grant applications. Place: National Human Genome Research Institute, Room 3055, 5635...

  3. 78 FR 31953 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-05-28

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... review and evaluate grant applications. Place: National Human Genome Research Institute, 3rd Floor...

  4. 77 FR 22332 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-04-13

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special.... Agenda: To review and evaluate grant applications. Place: National Human Genome Research Institute, 5635...

  5. 75 FR 19984 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2010-04-16

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4075... Nakamura, PhD, Scientific Review Officer, Scientific Review Branch, National Human Genome Research...

  6. 76 FR 28056 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-05-13

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Counselors, National Human Genome Research Institute. The meeting will be closed to the public as indicated... National Human Genome Research Institute, including consideration of personnel qualifications and...

  7. 76 FR 17930 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-03-31

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Review Officer, Scientific Review Branch, National Human Genome Research Institute, 5635 Fishers Lane...

  8. 76 FR 58023 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-09-19

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Initial..., Scientific Review Officer, Office of Scientific Review, National Human Genome Research Institute, National...

  9. 77 FR 28888 - National Human Genome Research Institute Notice of Closed Meeting

    Science.gov (United States)

    2012-05-16

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Initial...: To review and evaluate grant applications. Place: National Human Genome Research Institute, 3635...

  10. 78 FR 70063 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-11-22

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Counselors, National Human Genome Research Institute. The meeting will be closed to the public as indicated... NATIONAL HUMAN GENOME RESEARCH INSTITUTE, including consideration of personnel qualifications and...

  11. 76 FR 5390 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-01-31

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Place: National Human Genome Research Institute Special Emphasis... Officer, Scientific Review Branch, National Human Genome Research Institute, 5635 Fishers Lane, Suite 4076...

  12. 75 FR 13558 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-03-22

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Counselors, National Human Genome Research Institute. The meeting will be closed to the public as indicated... National Human Genome Research Institute, including consideration of personnel qualifications and...

  13. 76 FR 19780 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-04-08

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome Research Institute, National... . (Catalogue of Federal Domestic Assistance Program No. 93.172, Human Genome Research, National Institutes of...

  14. 76 FR 3917 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-01-21

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Branch, National Human Genome Research Institute, 5635 Fishers Lane, Suite 4076, MSC 9306, Rockville, MD...

  15. 75 FR 56115 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-09-15

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Federal Domestic Assistance Program Nos. 93.172, Human Genome Research, National Institutes of Health, HHS...

  16. 76 FR 3643 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-01-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Initial... . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research, National Institutes of...

  17. 78 FR 24223 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-04-24

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Initial...: To review and evaluate grant applications. Place: National Human Genome Research Institute, 3rd floor...

  18. 76 FR 22407 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-04-21

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special.... (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research, National Institutes of...

  19. 75 FR 26762 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-05-12

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Initial... . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research, National Institutes of...

  20. 77 FR 31863 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-05-30

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special..., Human Genome Research, National Institutes of Health, HHS) Dated: May 22, 2012. Jennifer S. Spaeth...

  1. 76 FR 66731 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-10-27

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Program Nos. 93.172, Human Genome Research, National Institutes of Health, HHS) Dated: October 21, 2011...

  2. 76 FR 36930 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-06-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special..., Human Genome Research, National Institutes of Health, HHS) Dated: June 17, 2011. Jennifer S. Spaeth...

  3. 77 FR 61770 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-10-11

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Assistance Program Nos. 93.172, Human Genome Research, National Institutes of Health, HHS) [[Page 61771...

  4. 76 FR 63932 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-10-14

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Assistance Program Nos. 93.172, Human Genome Research, National Institutes of Health, HHS) Dated: October 7...

  5. 77 FR 2735 - National Human Genome Research Institute; Notice of Meetings

    Science.gov (United States)

    2012-01-19

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... personal privacy. Name of Committee: National Advisory Council for Human Genome Research. Date: February 13... Extramural Research National Human Genome Research Institute, 5635 Fishers Lane, Suite 4076, MSC 9305...

  6. 75 FR 51828 - National Human Genome Research Institute; Notice of Meetings

    Science.gov (United States)

    2010-08-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... personal privacy. Name of Committee: National Advisory Council for Human Genome Research. Date: February 7... Research, National Human Genome Research Institute, 5635 Fishers Lane, Suite 4076, MSC 9305, Bethesda, MD...

  7. 78 FR 66752 - National Human Genome Research Institute; Amended Notice of Meeting

    Science.gov (United States)

    2013-11-06

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... National Human Genome Research Institute Special Emphasis Panel, October 15, 2013, 01:00 p.m. to October 15, 2013, 02:30 p.m., National Human Genome Research Institute, 5635 Fishers Lane, Suite 3055, Rockville...

  8. 77 FR 2304 - National Human Genome Research Institute; Notice of Meeting

    Science.gov (United States)

    2012-01-17

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome....S.C. 281(d)(4)), notice is hereby given that the National Human Genome Research Institute (NHGRI... meeting of the National Advisory Council for Human Genome Research. Background materials on the proposed...

  9. 77 FR 64816 - National Human Genome Research Institute; Notice of Meeting

    Science.gov (United States)

    2012-10-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., National Human Genome Research Institute. The meeting will be open to the public as indicated below, with... invasion of personal privacy. Name of Committee: Board of Scientific Counselors, National Human Genome...

  10. 75 FR 2147 - National Human Genome Research Institute; Notice of Meetings

    Science.gov (United States)

    2010-01-14

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Council for Human Genome Research. The meetings will be open to the public as indicated below, with... Extramural Research, National Human Genome Research Institute, 5635 Fishers Lane, Suite 4076, MSC 9305...

  11. 76 FR 65204 - National Human Genome Research Institute; Notice of Meeting

    Science.gov (United States)

    2011-10-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., National Human Genome Research Institute. The meeting will be open to the public as indicated below, with... invasion of personal privacy. Name of Committee: Board of Scientific Counselors, National Human Genome...

  12. 75 FR 60467 - National Human Genome Research Institute; Notice of Meeting

    Science.gov (United States)

    2010-09-30

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., National Human Genome Research Institute. The meeting will be open to the public as indicated below, with... invasion of personal privacy. Name of Committee: Board of Scientific Counselors, National Human Genome...

  13. A Taste of Algal Genomes from the Joint Genome Institute

    Energy Technology Data Exchange (ETDEWEB)

    Kuo, Alan; Grigoriev, Igor

    2012-06-17

    Algae play profound roles in aquatic food chains and the carbon cycle, can impose health and economic costs through toxic blooms, provide models for the study of symbiosis, photosynthesis, and eukaryotic evolution, and are candidate sources for bio-fuels; all of these research areas are part of the mission of DOE's Joint Genome Institute (JGI). To date JGI has sequenced, assembled, annotated, and released to the public the genomes of 18 species and strains of algae, sampling almost all of the major clades of photosynthetic eukaryotes. With more algal genomes currently undergoing analysis, JGI continues its commitment to driving forward basic and applied algal science. Among these ongoing projects are the pan-genome of the dominant coccolithophore Emiliania huxleyi, the interrelationships between the 4 genomes in the nucleomorph-containing Bigelowiella natans and Guillardia theta, and the search for symbiosis genes of lichens.

  14. 77 FR 59933 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2012-10-01

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research....D., Scientific Review Officer, Scientific Review Branch, National Human Genome Research Institute...

  15. 77 FR 58402 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2012-09-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research...: To review and evaluate grant applications. Place: National Human Genome Research Institute, 5635...

  16. 77 FR 60706 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-10-04

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special.... Nakamura, Ph.D., Scientific Review Officer, Scientific Review Branch, National Human Genome Research...

  17. 77 FR 20646 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2012-04-05

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research.... Agenda: To review and evaluate grant applications. Place: National Human Genome Research Institute, 5635...

  18. 76 FR 22112 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-04-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special....nih.gov . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  19. 75 FR 10488 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2010-03-08

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research...- 4280, [email protected]gov . Name of Committee: National Human Genome Research Institute Special...

  20. 76 FR 65204 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2011-10-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... constitute a clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome... Review Officer, Scientific Review Branch, National Human Genome Research Institute, 5635 Fishers Lane...

  1. 75 FR 8373 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-02-24

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  2. 77 FR 12604 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2012-03-01

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. >Name of Committee: National Human Genome Research... review and evaluate contract proposals. Place: National Human Genome Reseach Institute, 5635 Fishers Lane...

  3. 76 FR 3642 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2011-01-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research....nih.gov . Name of Committee: National Human Genome Research Institute Special Emphasis Panel eMERGE...

  4. 75 FR 52537 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-08-26

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Initial....nih.gov . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  5. 75 FR 2148 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-01-14

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Initial....nih.gov . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  6. 78 FR 9707 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2013-02-11

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research... Officer, Scientific Review Branch, National Human Genome Research Institute, 5635 Fishers Lane, Suite 4076...

  7. 75 FR 32957 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-06-10

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... funding cycle. (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  8. 78 FR 14806 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-03-07

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... p.m. Agenda: To review and evaluate grant applications. Place: National Human Genome Research...

  9. 75 FR 52538 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-08-26

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Person: Ken D. Nakamura, PhD, Scientific Review Officer, Scientific Review Branch, National Human Genome...

  10. 76 FR 35223 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-06-16

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... Person: Rudy O. Pozzatti, PhD, Scientific Review Officer, Scientific Review Branch, National Human Genome...

  11. 76 FR 66076 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-10-25

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Call). Contact Person: Camilla E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome... Assistance Program Nos. 93.172, Human Genome Research, National Institutes of Health, HHS) Dated: October 19...

  12. 78 FR 61851 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-10-04

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research Institute Special... a.m. to 4:00 p.m. Agenda: To review and evaluate grant applications. Place: National Human Genome...

  13. 75 FR 80509 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-12-22

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Call). Contact Person: Camilla E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome... Assistance Program Nos. 93.172, Human Genome Research, National Institutes of Health, HHS) Dated: December 16...

  14. Institute for Genomics and Systems Biology

    Science.gov (United States)

    Institute for Genomics and Systems Biology Discover. Predict. Improve. Advancing Human and , 2015 See all Research Papers Featured Video Introduction to Systems Biology Video: Introduction to Systems Biology News Jack Gilbert Heading UChicago Startup that Aims to Predict Behavior of Trillions of

  15. 77 FR 67385 - National Human Genome Research Institute; Amended Notice of Meeting

    Science.gov (United States)

    2012-11-09

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome Research Institute; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Human Genome Research Institute Special Emphasis Panel, October 29, 2012, 8:00 a.m. to October 30...

  16. 78 FR 65342 - National Human Genome Research Institute; Amended Notice of Meeting

    Science.gov (United States)

    2013-10-31

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome Research Institute; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Human Genome Research Institute Special Emphasis Panel, October 17, 2013, 08:00 a.m. to October 17...

  17. 76 FR 65738 - National Human Genome Research Institute; Amended Notice of Meeting

    Science.gov (United States)

    2011-10-24

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome Research Institute; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Human Genome Research Institute Special Emphasis Panel, November 29, 2011, 8 a.m. to November 29...

  18. 76 FR 71581 - National Human Genome Research Institute; Amended Notice of Meeting

    Science.gov (United States)

    2011-11-18

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome Research Institute; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Human Genome Research Institute Special Emphasis Panel, November 22, 2011, 12 p.m. to November 22...

  19. The missing graphical user interface for genomics.

    Science.gov (United States)

    Schatz, Michael C

    2010-01-01

    The Galaxy package empowers regular users to perform rich DNA sequence analysis through a much-needed and user-friendly graphical web interface. See research article http://genomebiology.com/2010/11/8/R86 RESEARCH HIGHLIGHT: With the advent of affordable and high-throughput DNA sequencing, sequencing is becoming an essential component in nearly every genetics lab. These data are being generated to probe sequence variations, to understand transcribed, regulated or methylated DNA elements, and to explore a host of other biological features across the tree of life and across a range of environments and conditions. Given this deluge of data, novices and experts alike are facing the daunting challenge of trying to analyze the raw sequence data computationally. With so many tools available and so many assays to analyze, how can one be expected to stay current with the state of the art? How can one be expected to learn to use each tool and construct robust end-to-end analysis pipelines, all while ensuring that input formats, command-line options, sequence databases and program libraries are set correctly? Finally, once the analysis is complete, how does one ensure the results are reproducible and transparent for others to scrutinize and study?In an article published in Genome Biology, Jeremy Goecks, Anton Nekrutenko, James Taylor and the rest of the Galaxy Team (Goecks et al. 1) make a great advance towards resolving these critical questions with the latest update to their Galaxy Project. The ambitious goal of Galaxy is to empower regular users to carry out their own computational analysis without having to be an expert in computational biology or computer science. Galaxy adds a desperately needed graphical user interface to genomics research, making data analysis universally accessible in a web browser, and freeing users from the minutiae of archaic command-line parameters, data formats and scripting languages. Data inputs and computational steps are selected from

  20. 77 FR 64816 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-10-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., Human Genome Research, National Institutes of Health, HHS) Dated: October 16, 2012. David Clary, Program... Conference Call). Contact Person: Camilla E. Day, Ph.D., Scientific Review Officer, CIDR, National Human...

  1. 78 FR 11898 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-02-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome....172, Human Genome Research, National Institutes of Health, HHS) Dated: February 13, 2013. David Clary... Conference Call). Contact Person: Camilla E. Day, Ph.D., Scientific Review Officer CIDR, National Human...

  2. 78 FR 77477 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-12-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., Human Genome Research, National Institutes of Health, HHS). Dated: December 17, 2013. David Clary... Conference Call). Contact Person: Camilla E. Day, Ph.D., Scientific Review Officer, CIDR, National Human...

  3. 77 FR 50140 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2012-08-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome..., Human Genome Research, National Institutes of Health, HHS) Dated: August 13, 2012. Anna Snouffer, Deputy..., Bethesda, MD 20892. Contact Person: Camilla E. Day, Ph.D., Scientific Review Officer, CIDR, National Human...

  4. Nencki Genomics Database--Ensembl funcgen enhanced with intersections, user data and genome-wide TFBS motifs.

    Science.gov (United States)

    Krystkowiak, Izabella; Lenart, Jakub; Debski, Konrad; Kuterba, Piotr; Petas, Michal; Kaminska, Bozena; Dabrowski, Michal

    2013-01-01

    We present the Nencki Genomics Database, which extends the functionality of Ensembl Regulatory Build (funcgen) for the three species: human, mouse and rat. The key enhancements over Ensembl funcgen include the following: (i) a user can add private data, analyze them alongside the public data and manage access rights; (ii) inside the database, we provide efficient procedures for computing intersections between regulatory features and for mapping them to the genes. To Ensembl funcgen-derived data, which include data from ENCODE, we add information on conserved non-coding (putative regulatory) sequences, and on genome-wide occurrence of transcription factor binding site motifs from the current versions of two major motif libraries, namely, Jaspar and Transfac. The intersections and mapping to the genes are pre-computed for the public data, and the result of any procedure run on the data added by the users is stored back into the database, thus incrementally increasing the body of pre-computed data. As the Ensembl funcgen schema for the rat is currently not populated, our database is the first database of regulatory features for this frequently used laboratory animal. The database is accessible without registration using the mysql client: mysql -h database.nencki-genomics.org -u public. Registration is required only to add or access private data. A WSDL webservice provides access to the database from any SOAP client, including the Taverna Workbench with a graphical user interface.

  5. Implementing genomics and pharmacogenomics in the clinic: The National Human Genome Research Institute's genomic medicine portfolio.

    Science.gov (United States)

    Manolio, Teri A

    2016-10-01

    Increasing knowledge about the influence of genetic variation on human health and growing availability of reliable, cost-effective genetic testing have spurred the implementation of genomic medicine in the clinic. As defined by the National Human Genome Research Institute (NHGRI), genomic medicine uses an individual's genetic information in his or her clinical care, and has begun to be applied effectively in areas such as cancer genomics, pharmacogenomics, and rare and undiagnosed diseases. In 2011 NHGRI published its strategic vision for the future of genomic research, including an ambitious research agenda to facilitate and promote the implementation of genomic medicine. To realize this agenda, NHGRI is consulting and facilitating collaborations with the external research community through a series of "Genomic Medicine Meetings," under the guidance and leadership of the National Advisory Council on Human Genome Research. These meetings have identified and begun to address significant obstacles to implementation, such as lack of evidence of efficacy, limited availability of genomics expertise and testing, lack of standards, and difficulties in integrating genomic results into electronic medical records. The six research and dissemination initiatives comprising NHGRI's genomic research portfolio are designed to speed the evaluation and incorporation, where appropriate, of genomic technologies and findings into routine clinical care. Actual adoption of successful approaches in clinical care will depend upon the willingness, interest, and energy of professional societies, practitioners, patients, and payers to promote their responsible use and share their experiences in doing so. Published by Elsevier Ireland Ltd.

  6. 77 FR 55853 - National Human Genome Research Institute; Amended Notice of Meeting

    Science.gov (United States)

    2012-09-11

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome Research Institute; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Advisory Council for Human Genome Research, September 10, 2012, 8:30 a.m. to September 11, 2012, 5...

  7. Fungal Genomics for Energy and Environment

    Energy Technology Data Exchange (ETDEWEB)

    Grigoriev, Igor V.

    2013-03-11

    Genomes of fungi relevant to energy and environment are in focus of the Fungal Genomic Program at the US Department of Energy Joint Genome Institute (JGI). One of its projects, the Genomics Encyclopedia of Fungi, targets fungi related to plant health (symbionts, pathogens, and biocontrol agents) and biorefinery processes (cellulose degradation, sugar fermentation, industrial hosts) by means of genome sequencing and analysis. New chapters of the Encyclopedia can be opened with user proposals to the JGI Community Sequencing Program (CSP). Another JGI project, the 1000 fungal genomes, explores fungal diversity on genome level at scale and is open for users to nominate new species for sequencing. Over 200 fungal genomes have been sequenced by JGI to date and released through MycoCosm (www.jgi.doe.gov/fungi), a fungal web-portal, which integrates sequence and functional data with genome analysis tools for user community. Sequence analysis supported by functional genomics leads to developing parts list for complex systems ranging from ecosystems of biofuel crops to biorefineries. Recent examples of such parts suggested by comparative genomics and functional analysis in these areas are presented here.

  8. What does it mean to be genomically literate?: National Human Genome Research Institute Meeting Report.

    Science.gov (United States)

    Hurle, Belen; Citrin, Toby; Jenkins, Jean F; Kaphingst, Kimberly A; Lamb, Neil; Roseman, Jo Ellen; Bonham, Vence L

    2013-08-01

    Genomic discoveries will increasingly advance the science of medicine. Limited genomic literacy may adversely impact the public's understanding and use of the power of genetics and genomics in health care and public health. In November 2011, a meeting was held by the National Human Genome Research Institute to examine the challenge of achieving genomic literacy for the general public, from kindergarten to grade 12 to adult education. The role of the media in disseminating scientific messages and in perpetuating or reducing misconceptions was also discussed. Workshop participants agreed that genomic literacy will be achieved only through active engagement between genomics experts and the varied constituencies that comprise the public. This report summarizes the background, content, and outcomes from this meeting, including recommendations for a research agenda to inform decisions about how to advance genomic literacy in our society.

  9. 77 FR 27471 - National Human Genome Research Institute Amended Notice of Meeting

    Science.gov (United States)

    2012-05-10

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome Research Institute Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Advisory Council for Human Genome Research, May 21, 2012, 8:30 a.m. to May 22, 2012, 5:00 p.m...

  10. Phytozome Comparative Plant Genomics Portal

    Energy Technology Data Exchange (ETDEWEB)

    Goodstein, David; Batra, Sajeev; Carlson, Joseph; Hayes, Richard; Phillips, Jeremy; Shu, Shengqiang; Schmutz, Jeremy; Rokhsar, Daniel

    2014-09-09

    The Dept. of Energy Joint Genome Institute is a genomics user facility supporting DOE mission science in the areas of Bioenergy, Carbon Cycling, and Biogeochemistry. The Plant Program at the JGI applies genomic, analytical, computational and informatics platforms and methods to: 1. Understand and accelerate the improvement (domestication) of bioenergy crops 2. Characterize and moderate plant response to climate change 3. Use comparative genomics to identify constrained elements and infer gene function 4. Build high quality genomic resource platforms of JGI Plant Flagship genomes for functional and experimental work 5. Expand functional genomic resources for Plant Flagship genomes

  11. 78 FR 55752 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2013-09-11

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research.... Pozzatti, Ph.D., Scientific Review Officer, Scientific Review Branch, National Human Genome Research...

  12. 78 FR 56905 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-09-16

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research....m. Agenda: To review and evaluate grant applications. Place: National Human Genome Research...

  13. 76 FR 28056 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2011-05-13

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... clearly unwarranted invasion of personal privacy. Name of Committee: National Human Genome Research... D. Nakamura, PhD, Scientific Review Officer, Office of Scientific Review, National Human Genome...

  14. 76 FR 35224 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-06-16

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome...). Contact Person: Camilla E. Day, PhD, Scientific Review Officer, CIR, National Human Genome Research..., [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  15. 75 FR 48977 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-08-12

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome.... Contact Person: Camilla E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome Research..., [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  16. 75 FR 35821 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-06-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Person: Camilla E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome Research [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  17. 78 FR 47715 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-08-06

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Person: Camilla E. Day, Ph.D., Scientific Review Officer, CIDR, National Human Genome Research [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  18. 76 FR 79199 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-12-21

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome.... Contact Person: Camilla E. Day, Ph.D., Scientific Review Officer, CIDR, National Human Genome Research..., [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human Genome Research...

  19. 78 FR 68856 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2013-11-15

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Nakamura, Ph.D., Scientific Review Officer, Scientific Review Branch, National Human Genome Research...-402-0838. [[Page 68857

  20. 75 FR 44800 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-07-29

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... for Human Genome Research. The meeting will be closed to the public in accordance with the provisions... Committee: National Advisory Council for Human Genome Research. Date: August 18, 2010. Time: 1 p.m. to 3 p.m...

  1. VCFtoTree: a user-friendly tool to construct locus-specific alignments and phylogenies from thousands of anthropologically relevant genome sequences.

    Science.gov (United States)

    Xu, Duo; Jaber, Yousef; Pavlidis, Pavlos; Gokcumen, Omer

    2017-09-26

    Constructing alignments and phylogenies for a given locus from large genome sequencing studies with relevant outgroups allow novel evolutionary and anthropological insights. However, no user-friendly tool has been developed to integrate thousands of recently available and anthropologically relevant genome sequences to construct complete sequence alignments and phylogenies. Here, we provide VCFtoTree, a user friendly tool with a graphical user interface that directly accesses online databases to download, parse and analyze genome variation data for regions of interest. Our pipeline combines popular sequence datasets and tree building algorithms with custom data parsing to generate accurate alignments and phylogenies using all the individuals from the 1000 Genomes Project, Neanderthal and Denisovan genomes, as well as reference genomes of Chimpanzee and Rhesus Macaque. It can also be applied to other phased human genomes, as well as genomes from other species. The output of our pipeline includes an alignment in FASTA format and a tree file in newick format. VCFtoTree fulfills the increasing demand for constructing alignments and phylogenies for a given loci from thousands of available genomes. Our software provides a user friendly interface for a wider audience without prerequisite knowledge in programming. VCFtoTree can be accessed from https://github.com/duoduoo/VCFtoTree_3.0.0 .

  2. Indian Institutional Repositories: A Study of User's Perspective

    Science.gov (United States)

    Sawant, Sarika

    2012-01-01

    Purpose: The present study aims to investigate the experience, contribution and opinions of users of respective institutional repositories (IRs) developed in India. Design/methodology/approach: The survey method was used. The data collection tool was a web questionnaire, which was created with the help of software provided by surveymonkey.com…

  3. JGI Fungal Genomics Program

    Energy Technology Data Exchange (ETDEWEB)

    Grigoriev, Igor V.

    2011-03-14

    Genomes of energy and environment fungi are in focus of the Fungal Genomic Program at the US Department of Energy Joint Genome Institute (JGI). Its key project, the Genomics Encyclopedia of Fungi, targets fungi related to plant health (symbionts, pathogens, and biocontrol agents) and biorefinery processes (cellulose degradation, sugar fermentation, industrial hosts), and explores fungal diversity by means of genome sequencing and analysis. Over 50 fungal genomes have been sequenced by JGI to date and released through MycoCosm (www.jgi.doe.gov/fungi), a fungal web-portal, which integrates sequence and functional data with genome analysis tools for user community. Sequence analysis supported by functional genomics leads to developing parts list for complex systems ranging from ecosystems of biofuel crops to biorefineries. Recent examples of such 'parts' suggested by comparative genomics and functional analysis in these areas are presented here

  4. Genomic Encyclopedia of Fungi

    Energy Technology Data Exchange (ETDEWEB)

    Grigoriev, Igor

    2012-08-10

    Genomes of fungi relevant to energy and environment are in focus of the Fungal Genomic Program at the US Department of Energy Joint Genome Institute (JGI). Its key project, the Genomics Encyclopedia of Fungi, targets fungi related to plant health (symbionts, pathogens, and biocontrol agents) and biorefinery processes (cellulose degradation, sugar fermentation, industrial hosts), and explores fungal diversity by means of genome sequencing and analysis. Over 150 fungal genomes have been sequenced by JGI to date and released through MycoCosm (www.jgi.doe.gov/fungi), a fungal web-portal, which integrates sequence and functional data with genome analysis tools for user community. Sequence analysis supported by functional genomics leads to developing parts list for complex systems ranging from ecosystems of biofuel crops to biorefineries. Recent examples of such parts suggested by comparative genomics and functional analysis in these areas are presented here.

  5. 76 FR 9031 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-02-16

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Call). Contact Person: Camilla E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome...- 402-8837, [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human...

  6. 75 FR 62548 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2010-10-12

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Call). Contact Person: Camilla E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome...- 402-8837, [email protected] . Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human...

  7. 76 FR 50486 - National Human Genome Research Institute; Notice of Closed Meeting

    Science.gov (United States)

    2011-08-15

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Human Genome... Conference Call). Contact Person: Camilla E. Day, PhD, Scientific Review Officer, CIDR, National Human Genome...- 402-8837, [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.172, Human...

  8. Kaptive Web: User-Friendly Capsule and Lipopolysaccharide Serotype Prediction for Klebsiella Genomes.

    Science.gov (United States)

    Wick, Ryan R; Heinz, Eva; Holt, Kathryn E; Wyres, Kelly L

    2018-06-01

    As whole-genome sequencing becomes an established component of the microbiologist's toolbox, it is imperative that researchers, clinical microbiologists, and public health professionals have access to genomic analysis tools for the rapid extraction of epidemiologically and clinically relevant information. For the Gram-negative hospital pathogens such as Klebsiella pneumoniae , initial efforts have focused on the detection and surveillance of antimicrobial resistance genes and clones. However, with the resurgence of interest in alternative infection control strategies targeting Klebsiella surface polysaccharides, the ability to extract information about these antigens is increasingly important. Here we present Kaptive Web, an online tool for the rapid typing of Klebsiella K and O loci, which encode the polysaccharide capsule and lipopolysaccharide O antigen, respectively. Kaptive Web enables users to upload and analyze genome assemblies in a web browser. The results can be downloaded in tabular format or explored in detail via the graphical interface, making it accessible for users at all levels of computational expertise. We demonstrate Kaptive Web's utility by analyzing >500 K. pneumoniae genomes. We identify extensive K and O locus diversity among 201 genomes belonging to the carbapenemase-associated clonal group 258 (25 K and 6 O loci). The characterization of a further 309 genomes indicated that such diversity is common among the multidrug-resistant clones and that these loci represent useful epidemiological markers for strain subtyping. These findings reinforce the need for rapid, reliable, and accessible typing methods such as Kaptive Web. Kaptive Web is available for use at http://kaptive.holtlab.net/, and the source code is available at https://github.com/kelwyres/Kaptive-Web. Copyright © 2018 Wick et al.

  9. Public Procurement of Innovation; Endogenous Institutions in User-Producer Interaction

    DEFF Research Database (Denmark)

    Hjaltadóttir, Rannveig Edda

    2013-01-01

    Introduction 2010 government expenditure on works, goods and services in EU 19.7% of GDP - 2.406,98€ billion. Can be used to stimulate innovation Focus on public procurement of innovation in EU maintain competitive advantage and welfare Governments are important first users for high technology (U...... (Urban & von Hippel, 1988). Need interaction in public procurement of innovation (PPI). The aim of this research is to investigate the institutions that govern this interaction and how they influence performance in PPI. Institutions are “the rules of the game” (North, 1990)......Introduction 2010 government expenditure on works, goods and services in EU 19.7% of GDP - 2.406,98€ billion. Can be used to stimulate innovation Focus on public procurement of innovation in EU maintain competitive advantage and welfare Governments are important first users for high technology...

  10. AutoAssemblyD: a graphical user interface system for several genome assemblers.

    Science.gov (United States)

    Veras, Adonney Allan de Oliveira; de Sá, Pablo Henrique Caracciolo Gomes; Azevedo, Vasco; Silva, Artur; Ramos, Rommel Thiago Jucá

    2013-01-01

    Next-generation sequencing technologies have increased the amount of biological data generated. Thus, bioinformatics has become important because new methods and algorithms are necessary to manipulate and process such data. However, certain challenges have emerged, such as genome assembly using short reads and high-throughput platforms. In this context, several algorithms have been developed, such as Velvet, Abyss, Euler-SR, Mira, Edna, Maq, SHRiMP, Newbler, ALLPATHS, Bowtie and BWA. However, most such assemblers do not have a graphical interface, which makes their use difficult for users without computing experience given the complexity of the assembler syntax. Thus, to make the operation of such assemblers accessible to users without a computing background, we developed AutoAssemblyD, which is a graphical tool for genome assembly submission and remote management by multiple assemblers through XML templates. AssemblyD is freely available at https://sourceforge.net/projects/autoassemblyd. It requires Sun jdk 6 or higher.

  11. Conceptualizing a Genomics Software Institute (GSI).

    Science.gov (United States)

    Gilbert, Jack A; Catlett, Charlie; Desai, Narayan; Knight, Rob; White, Owen; Robbins, Robert; Sankaran, Rajesh; Sansone, Susanna-Assunta; Field, Dawn; Meyer, Folker

    2012-03-19

    Microbial ecology has been enhanced greatly by the ongoing 'omics revolution, bringing half the world's biomass and most of its biodiversity into analytical view for the first time; indeed, it feels almost like the invention of the microscope and the discovery of the new world at the same time. With major microbial ecology research efforts accumulating prodigious quantities of sequence, protein, and metabolite data, we are now poised to address environmental microbial research at macro scales, and to begin to characterize and understand the dimensions of microbial biodiversity on the planet. What is currently impeding progress is the need for a framework within which the research community can develop, exchange and discuss predictive ecosystem models that describe the biodiversity and functional interactions. Such a framework must encompass data and metadata transparency and interoperation; data and results validation, curation, and search; application programming interfaces for modeling and analysis tools; and human and technical processes and services necessary to ensure broad adoption. Here we discuss the need for focused community interaction to augment and deepen established community efforts, beginning with the Genomic Standards Consortium (GSC), to create a science-driven strategic plan for a Genomic Software Institute (GSI).

  12. New Approaches and Technologies to Sequence de novo Plant reference Genomes (2013 DOE JGI Genomics of Energy and Environment 8th Annual User Meeting)

    Energy Technology Data Exchange (ETDEWEB)

    Schmutz, Jeremy

    2013-03-01

    Jeremy Schmutz of the HudsonAlpha Institute for Biotechnology on New approaches and technologies to sequence de novo plant reference genomes at the 8th Annual Genomics of Energy Environment Meeting on March 27, 2013 in Walnut Creek, CA.

  13. Circulation Policies for External Users: A Comparative Study of Public Urban Research Institutions

    Science.gov (United States)

    Weare, William H., Jr.; Stevenson, Matthew

    2012-01-01

    This article is a study of the policies that govern the use of the university library by external users at Indiana University-Purdue University Indianapolis (IUPUI) and 12 peer institutions used by IUPUI for comparative purposes. A search of each institution's Web site was conducted as well as interviews with circulation librarians and managers.…

  14. Understanding the Effects of Users' Behaviors on Effectiveness of Different Exogenous Regulatory Common Pool Resource Management Institutions

    Science.gov (United States)

    Madani, K.; Dinar, A.

    2013-12-01

    Tragedy of the commons is generally recognized as one of the possible destinies for common pool resources (CPRs). To avoid the tragedy of the commons and prolonging the life of CPRs, users may show different behavioral characteristics and use different rationales for CPR planning and management. Furthermore, regulators may adopt different strategies for sustainable management of CPRs. The effectiveness of different regulatory exogenous management institutions cannot be evaluated through conventional CPR models since they assume that either users base their behavior on individual rationality and adopt a selfish behavior (Nash behavior), or that the users seek the system's optimal solution without giving priority to their own interests. Therefore, conventional models fail to reliably predict the outcome of CPR problems in which parties may have a range of behavioral characteristics, putting them somewhere in between the two types of behaviors traditionally considered. This work examines the effectiveness of different regulatory exogenous CPR management institutions through a user-based model (as opposed to a system-based model). The new modeling framework allows for consideration of sensitivity of the results to different behavioral characteristics of interacting CPR users. The suggested modeling approach is applied to a benchmark groundwater management problem. Results indicate that some well-known exogenous management institutions (e.g. taxing) are ineffective in sustainable management of CPRs in most cases. Bankruptcy-based management can be helpful, but determination of the fair level of cutbacks remains challenging under this type of institution. Furthermore, some bankruptcy rules such as the Constrained Equal Award (CEA) method are more beneficial to wealthier users, failing to establish social justice. Quota-based and CPR status-based management perform as the most promising and robust regulatory exogenous institutions in prolonging the CPR's life and

  15. An Irish Cross-Institutional User Needs Analysis of Undergraduate Programming

    Directory of Open Access Journals (Sweden)

    Eileen Mary Costelloe

    2006-07-01

    Full Text Available Research literature and practical experience of subject experts indicate that teaching programming to novices has proven challenging for both learner and lecturer. A number of difficulties arise when teaching novices to program. These ranges from the inadequacy of the undergraduate students’ problem-solving skills, problems with understanding programming constructs, to the complexity of the environments in which the students develop their solutions. This paper outlines a project which aims to address some of the challenges faced by novice programmers by providing them with an innovative learning tool, incorporating a set of Reusable Learning Objects (RLOs, based on sound pedagogical principles and encapsulated in a Constructivist Learning Environment (CLE. The Learning Objects will focus on the common areas of weaknesses that are determined by an Irish cross-institutional User Needs Analysis. The initial research activity was to conduct a User Needs Analysis, which was carried out in the three third level academic partner institutions and which will inform and direct the remainder of the research project. The User Needs Analysis confirmed that first year undergraduate students find programming the most challenging module they study. Programming constructs such as Arrays, Looping and Selection were shown to be the most problematic in semester one, and Methods and Polymorphism posing difficulties in semester two. Interestingly the students’ actual and perceived difficulties with the concepts were not in-line, with the students perceiving their difficulties to be less than they actually were. The students acknowledge that problem-solving abilities impacted on their performance but only 20% of students in one college admitted to thinking about their approach in designing programming solutions. The results of the User Needs Analysis directs the design and development of the RLOs and the learning tool.

  16. STORMSeq: an open-source, user-friendly pipeline for processing personal genomics data in the cloud.

    Science.gov (United States)

    Karczewski, Konrad J; Fernald, Guy Haskin; Martin, Alicia R; Snyder, Michael; Tatonetti, Nicholas P; Dudley, Joel T

    2014-01-01

    The increasing public availability of personal complete genome sequencing data has ushered in an era of democratized genomics. However, read mapping and variant calling software is constantly improving and individuals with personal genomic data may prefer to customize and update their variant calls. Here, we describe STORMSeq (Scalable Tools for Open-Source Read Mapping), a graphical interface cloud computing solution that does not require a parallel computing environment or extensive technical experience. This customizable and modular system performs read mapping, read cleaning, and variant calling and annotation. At present, STORMSeq costs approximately $2 and 5-10 hours to process a full exome sequence and $30 and 3-8 days to process a whole genome sequence. We provide this open-access and open-source resource as a user-friendly interface in Amazon EC2.

  17. Differential profiles of crack users in respondent-driven and institutional samples: a three-site comparison

    OpenAIRE

    Oteo Pérez, A.; Benschop, A.; Korf, D.J.

    2012-01-01

    Background/Aim: Respondent-driven sampling (RDS) is increasingly applied in social epidemiological surveys among ‘hidden populations’ of hard drug users. The objective of the present study was to assess whether the profile of frequent crack users recruited through RDS differed from those surveyed in two random institutional samples, i.e. low-threshold opiate substitution treatment (ST) and user rooms (URs). Methods: A total of 1,039 crack users (mean age 45.1 8 9.1 years; 81.5% males; 49.5% n...

  18. STORMSeq: an open-source, user-friendly pipeline for processing personal genomics data in the cloud.

    Directory of Open Access Journals (Sweden)

    Konrad J Karczewski

    Full Text Available The increasing public availability of personal complete genome sequencing data has ushered in an era of democratized genomics. However, read mapping and variant calling software is constantly improving and individuals with personal genomic data may prefer to customize and update their variant calls. Here, we describe STORMSeq (Scalable Tools for Open-Source Read Mapping, a graphical interface cloud computing solution that does not require a parallel computing environment or extensive technical experience. This customizable and modular system performs read mapping, read cleaning, and variant calling and annotation. At present, STORMSeq costs approximately $2 and 5-10 hours to process a full exome sequence and $30 and 3-8 days to process a whole genome sequence. We provide this open-access and open-source resource as a user-friendly interface in Amazon EC2.

  19. Ten years of maintaining and expanding a microbial genome and metagenome analysis system.

    Science.gov (United States)

    Markowitz, Victor M; Chen, I-Min A; Chu, Ken; Pati, Amrita; Ivanova, Natalia N; Kyrpides, Nikos C

    2015-11-01

    Launched in March 2005, the Integrated Microbial Genomes (IMG) system is a comprehensive data management system that supports multidimensional comparative analysis of genomic data. At the core of the IMG system is a data warehouse that contains genome and metagenome datasets sequenced at the Joint Genome Institute or provided by scientific users, as well as public genome datasets available at the National Center for Biotechnology Information Genbank sequence data archive. Genomes and metagenome datasets are processed using IMG's microbial genome and metagenome sequence data processing pipelines and are integrated into the data warehouse using IMG's data integration toolkits. Microbial genome and metagenome application specific data marts and user interfaces provide access to different subsets of IMG's data and analysis toolkits. This review article revisits IMG's original aims, highlights key milestones reached by the system during the past 10 years, and discusses the main challenges faced by a rapidly expanding system, in particular the complexity of maintaining such a system in an academic setting with limited budgets and computing and data management infrastructure. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. National Human Genome Research Institute

    Science.gov (United States)

    ... Care Genomic Medicine Working Group New Horizons and Research Patient Management Policy and Ethics Issues Quick Links for Patient Care Education All About the Human Genome Project Fact Sheets Genetic Education Resources for ...

  1. 77 FR 6810 - National Human Genome Research Institute; Notice of Closed Meetings

    Science.gov (United States)

    2012-02-09

    .... Pozzatti, Ph.D., Scientific Review Officer, Scientific Review Branch, National Human Genome Research... Institute Special Emphasis Panel; ENCODE Production SEP (M1). Date: March 5, 2012. Time: 8 a.m. to 5 p.m... Potomac Avenue, Studio 6, Arlington, VA 22202. Contact Person: Keith McKenney, Ph.D., Scientific Review...

  2. Visualization for genomics: the Microbial Genome Viewer.

    NARCIS (Netherlands)

    Kerkhoven, R.; Enckevort, F.H.J. van; Boekhorst, J.; Molenaar, D; Siezen, R.J.

    2004-01-01

    SUMMARY: A Web-based visualization tool, the Microbial Genome Viewer, is presented that allows the user to combine complex genomic data in a highly interactive way. This Web tool enables the interactive generation of chromosome wheels and linear genome maps from genome annotation data stored in a

  3. Genomics on the Half Shell: So, What do Oysters Have to do with Energy? (2010 JGI User Meeting)

    Energy Technology Data Exchange (ETDEWEB)

    Hedgecock, Dennis

    2010-03-24

    Dennis Hedgecock from the University of Southern California answers the question, "Genomics on the Half Shell: So, What Do Oysters Have to Do with Energy?" on March 24, 2010 at the 5th Annual DOE JGI User Meeting.

  4. ChloroMitoCU: Codon patterns across organelle genomes for functional genomics and evolutionary applications.

    Science.gov (United States)

    Sablok, Gaurav; Chen, Ting-Wen; Lee, Chi-Ching; Yang, Chi; Gan, Ruei-Chi; Wegrzyn, Jill L; Porta, Nicola L; Nayak, Kinshuk C; Huang, Po-Jung; Varotto, Claudio; Tang, Petrus

    2017-06-01

    Organelle genomes are widely thought to have arisen from reduction events involving cyanobacterial and archaeal genomes, in the case of chloroplasts, or α-proteobacterial genomes, in the case of mitochondria. Heterogeneity in base composition and codon preference has long been the subject of investigation of topics ranging from phylogenetic distortion to the design of overexpression cassettes for transgenic expression. From the overexpression point of view, it is critical to systematically analyze the codon usage patterns of the organelle genomes. In light of the importance of codon usage patterns in the development of hyper-expression organelle transgenics, we present ChloroMitoCU, the first-ever curated, web-based reference catalog of the codon usage patterns in organelle genomes. ChloroMitoCU contains the pre-compiled codon usage patterns of 328 chloroplast genomes (29,960 CDS) and 3,502 mitochondrial genomes (49,066 CDS), enabling genome-wide exploration and comparative analysis of codon usage patterns across species. ChloroMitoCU allows the phylogenetic comparison of codon usage patterns across organelle genomes, the prediction of codon usage patterns based on user-submitted transcripts or assembled organelle genes, and comparative analysis with the pre-compiled patterns across species of interest. ChloroMitoCU can increase our understanding of the biased patterns of codon usage in organelle genomes across multiple clades. ChloroMitoCU can be accessed at: http://chloromitocu.cgu.edu.tw/. © The Author 2017. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

  5. Ploidy and genome composition of Musa germplasm at the International Institute of Tropical Agriculture (IITA)

    Czech Academy of Sciences Publication Activity Database

    Pillay, M.; Ogundiwin, E.; Tenkouano, A.; Doležel, Jaroslav

    2006-01-01

    Roč. 5, - (2006), s. 1224-1232 ISSN 1684-5315 R&D Projects: GA MŠk(CZ) LC06004 Institutional research plan: CEZ:AV0Z50380511 Keywords : Banana * plantain * genomes Subject RIV: EB - Genetics ; Molecular Biology

  6. MycoCosm, an Integrated Fungal Genomics Resource

    Energy Technology Data Exchange (ETDEWEB)

    Shabalov, Igor; Grigoriev, Igor

    2012-03-16

    MycoCosm is a web-based interactive fungal genomics resource, which was first released in March 2010, in response to an urgent call from the fungal community for integration of all fungal genomes and analytical tools in one place (Pan-fungal data resources meeting, Feb 21-22, 2010, Alexandria, VA). MycoCosm integrates genomics data and analysis tools to navigate through over 100 fungal genomes sequenced at JGI and elsewhere. This resource allows users to explore fungal genomes in the context of both genome-centric analysis and comparative genomics, and promotes user community participation in data submission, annotation and analysis. MycoCosm has over 4500 unique visitors/month or 35000+ visitors/year as well as hundreds of registered users contributing their data and expertise to this resource. Its scalable architecture allows significant expansion of the data expected from JGI Fungal Genomics Program, its users, and integration with external resources used by fungal community.

  7. GenColors-based comparative genome databases for small eukaryotic genomes.

    Science.gov (United States)

    Felder, Marius; Romualdi, Alessandro; Petzold, Andreas; Platzer, Matthias; Sühnel, Jürgen; Glöckner, Gernot

    2013-01-01

    Many sequence data repositories can give a quick and easily accessible overview on genomes and their annotations. Less widespread is the possibility to compare related genomes with each other in a common database environment. We have previously described the GenColors database system (http://gencolors.fli-leibniz.de) and its applications to a number of bacterial genomes such as Borrelia, Legionella, Leptospira and Treponema. This system has an emphasis on genome comparison. It combines data from related genomes and provides the user with an extensive set of visualization and analysis tools. Eukaryote genomes are normally larger than prokaryote genomes and thus pose additional challenges for such a system. We have, therefore, adapted GenColors to also handle larger datasets of small eukaryotic genomes and to display eukaryotic gene structures. Further recent developments include whole genome views, genome list options and, for bacterial genome browsers, the display of horizontal gene transfer predictions. Two new GenColors-based databases for two fungal species (http://fgb.fli-leibniz.de) and for four social amoebas (http://sacgb.fli-leibniz.de) were set up. Both new resources open up a single entry point for related genomes for the amoebozoa and fungal research communities and other interested users. Comparative genomics approaches are greatly facilitated by these resources.

  8. Fueling the Future with Fungal Genomes

    Energy Technology Data Exchange (ETDEWEB)

    Grigoriev, Igor V.

    2014-10-27

    Genomes of fungi relevant to energy and environment are in focus of the JGI Fungal Genomic Program. One of its projects, the Genomics Encyclopedia of Fungi, targets fungi related to plant health (symbionts and pathogens) and biorefinery processes (cellulose degradation and sugar fermentation) by means of genome sequencing and analysis. New chapters of the Encyclopedia can be opened with user proposals to the JGI Community Science Program (CSP). Another JGI project, the 1000 fungal genomes, explores fungal diversity on genome level at scale and is open for users to nominate new species for sequencing. Over 400 fungal genomes have been sequenced by JGI to date and released through MycoCosm (www.jgi.doe.gov/fungi), a fungal web-portal, which integrates sequence and functional data with genome analysis tools for user community. Sequence analysis supported by functional genomics will lead to developing parts list for complex systems ranging from ecosystems of biofuel crops to biorefineries. Recent examples of such ‘parts’ suggested by comparative genomics and functional analysis in these areas are presented here.

  9. MBGD update 2015: microbial genome database for flexible ortholog analysis utilizing a diverse set of genomic data.

    Science.gov (United States)

    Uchiyama, Ikuo; Mihara, Motohiro; Nishide, Hiroyo; Chiba, Hirokazu

    2015-01-01

    The microbial genome database for comparative analysis (MBGD) (available at http://mbgd.genome.ad.jp/) is a comprehensive ortholog database for flexible comparative analysis of microbial genomes, where the users are allowed to create an ortholog table among any specified set of organisms. Because of the rapid increase in microbial genome data owing to the next-generation sequencing technology, it becomes increasingly challenging to maintain high-quality orthology relationships while allowing the users to incorporate the latest genomic data available into an analysis. Because many of the recently accumulating genomic data are draft genome sequences for which some complete genome sequences of the same or closely related species are available, MBGD now stores draft genome data and allows the users to incorporate them into a user-specific ortholog database using the MyMBGD functionality. In this function, draft genome data are incorporated into an existing ortholog table created only from the complete genome data in an incremental manner to prevent low-quality draft data from affecting clustering results. In addition, to provide high-quality orthology relationships, the standard ortholog table containing all the representative genomes, which is first created by the rapid classification program DomClust, is now refined using DomRefine, a recently developed program for improving domain-level clustering using multiple sequence alignment information. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

  10. The national cancer institute (NCI) and cancer biology in a 'post genome world'

    International Nuclear Information System (INIS)

    Klausner, Richard D.

    1996-01-01

    The National Cancer Institute (NCI) exists to reduce the burden of all cancers through research and discovery. Extensive restructuring of the NCI over the past year has been aimed at assuring that the institution functions in all ways to promote opportunities for discovery in the laboratory, in the clinic, and in the community. To do this well requires the difficult and almost paradoxical problem of planning for scientific discovery which, in turn is based on the freedom to pursue the unanticipated. The intellectual and structural landscape of science is changing and it places new challenges, new demands and new opportunities for facilitating discovery. The nature of cancer as a disease of genomic instability and of accumulated genetic change, coupled with a possibility of the development of new technologies for reading, utilizing, interpreting and manipulating the genome of single cells, provides unprecedented opportunities for a new type of high through-put biology that will change the nature of discovery, cancer detection, diagnosis, prognosis, therapeutic decision-making and therapeutic discovery. To capture these new opportunities will require attention to be paid to integrate the development of technology and new scientific discoveries with the ability to apply advances rapidly and efficiently through clinical trials

  11. GGRaSP: A R-package for selecting representative genomes using Gaussian mixture models.

    Science.gov (United States)

    Clarke, Thomas H; Brinkac, Lauren M; Sutton, Granger; Fouts, Derrick E

    2018-04-14

    The vast number of available sequenced bacterial genomes occasionally exceeds the facilities of comparative genomic methods or is dominated by a single outbreak strain, and thus a diverse and representative subset is required. Generation of the reduced subset currently requires a priori supervised clustering and sequence-only selection of medoid genomic sequences, independent of any additional genome metrics or strain attributes. The GGRaSP R-package described below generates a reduced subset of genomes that prioritizes maintaining genomes of interest to the user as well as minimizing the loss of genetic variation. The package also allows for unsupervised clustering by modeling the genomic relationships using a Gaussian Mixture Model to select an appropriate cluster threshold. We demonstrate the capabilities of GGRaSP by generating a reduced list of 315 genomes from a genomic dataset of 4600 Escherichia coli genomes, prioritizing selection by type strain and by genome completeness. GGRaSP is available at https://github.com/JCVenterInstitute/ggrasp/. tclarke@jcvi.org. Supplementary data are available at the GitHub site.

  12. Protecting genomic data analytics in the cloud: state of the art and opportunities.

    Science.gov (United States)

    Tang, Haixu; Jiang, Xiaoqian; Wang, Xiaofeng; Wang, Shuang; Sofia, Heidi; Fox, Dov; Lauter, Kristin; Malin, Bradley; Telenti, Amalio; Xiong, Li; Ohno-Machado, Lucila

    2016-10-13

    The outsourcing of genomic data into public cloud computing settings raises concerns over privacy and security. Significant advancements in secure computation methods have emerged over the past several years, but such techniques need to be rigorously evaluated for their ability to support the analysis of human genomic data in an efficient and cost-effective manner. With respect to public cloud environments, there are concerns about the inadvertent exposure of human genomic data to unauthorized users. In analyses involving multiple institutions, there is additional concern about data being used beyond agreed research scope and being prcoessed in untrused computational environments, which may not satisfy institutional policies. To systematically investigate these issues, the NIH-funded National Center for Biomedical Computing iDASH (integrating Data for Analysis, 'anonymization' and SHaring) hosted the second Critical Assessment of Data Privacy and Protection competition to assess the capacity of cryptographic technologies for protecting computation over human genomes in the cloud and promoting cross-institutional collaboration. Data scientists were challenged to design and engineer practical algorithms for secure outsourcing of genome computation tasks in working software, whereby analyses are performed only on encrypted data. They were also challenged to develop approaches to enable secure collaboration on data from genomic studies generated by multiple organizations (e.g., medical centers) to jointly compute aggregate statistics without sharing individual-level records. The results of the competition indicated that secure computation techniques can enable comparative analysis of human genomes, but greater efficiency (in terms of compute time and memory utilization) are needed before they are sufficiently practical for real world environments.

  13. Visualization for genomics: the Microbial Genome Viewer.

    Science.gov (United States)

    Kerkhoven, Robert; van Enckevort, Frank H J; Boekhorst, Jos; Molenaar, Douwe; Siezen, Roland J

    2004-07-22

    A Web-based visualization tool, the Microbial Genome Viewer, is presented that allows the user to combine complex genomic data in a highly interactive way. This Web tool enables the interactive generation of chromosome wheels and linear genome maps from genome annotation data stored in a MySQL database. The generated images are in scalable vector graphics (SVG) format, which is suitable for creating high-quality scalable images and dynamic Web representations. Gene-related data such as transcriptome and time-course microarray experiments can be superimposed on the maps for visual inspection. The Microbial Genome Viewer 1.0 is freely available at http://www.cmbi.kun.nl/MGV

  14. Informing the Design of Direct-to-Consumer Interactive Personal Genomics Reports.

    Science.gov (United States)

    Shaer, Orit; Nov, Oded; Okerlund, Johanna; Balestra, Martina; Stowell, Elizabeth; Ascher, Laura; Bi, Joanna; Schlenker, Claire; Ball, Madeleine

    2015-06-12

    In recent years, people who sought direct-to-consumer genetic testing services have been increasingly confronted with an unprecedented amount of personal genomic information, which influences their decisions, emotional state, and well-being. However, these users of direct-to-consumer genetic services, who vary in their education and interests, frequently have little relevant experience or tools for understanding, reasoning about, and interacting with their personal genomic data. Online interactive techniques can play a central role in making personal genomic data useful for these users. We sought to (1) identify the needs of diverse users as they make sense of their personal genomic data, (2) consequently develop effective interactive visualizations of genomic trait data to address these users' needs, and (3) evaluate the effectiveness of the developed visualizations in facilitating comprehension. The first two user studies, conducted with 63 volunteers in the Personal Genome Project and with 36 personal genomic users who participated in a design workshop, respectively, employed surveys and interviews to identify the needs and expectations of diverse users. Building on the two initial studies, the third study was conducted with 730 Amazon Mechanical Turk users and employed a controlled experimental design to examine the effectiveness of different design interventions on user comprehension. The first two studies identified searching, comparing, sharing, and organizing data as fundamental to users' understanding of personal genomic data. The third study demonstrated that interactive and visual design interventions could improve the understandability of personal genomic reports for consumers. In particular, results showed that a new interactive bubble chart visualization designed for the study resulted in the highest comprehension scores, as well as the highest perceived comprehension scores. These scores were significantly higher than scores received using the

  15. Institutional Responsibility and the Flawed Genomic Biomarkers at Duke University: A Missed Opportunity for Transparency and Accountability.

    Science.gov (United States)

    DeMets, David L; Fleming, Thomas R; Geller, Gail; Ransohoff, David F

    2017-08-01

    When there have been substantial failures by institutional leadership in their oversight responsibility to protect research integrity, the public should demand that these be recognized and addressed by the institution itself, or the funding bodies. This commentary discusses a case of research failures in developing genomic predictors for cancer risk assessment and treatment at a leading university. In its review of this case, the Office of Research Integrity, an agency within the US Department of Health and Human Services, focused their report entirely on one individual faculty member and made no comment on the institution's responsibility and its failure to provide adequate oversight and investigation. These actions missed an important opportunity to emphasize the institution's critical responsibilities in oversight of research integrity and the importance of institutional transparency and accountability.

  16. Protecting genomic data analytics in the cloud: state of the art and opportunities

    Directory of Open Access Journals (Sweden)

    Haixu Tang

    2016-10-01

    Full Text Available Abstract The outsourcing of genomic data into public cloud computing settings raises concerns over privacy and security. Significant advancements in secure computation methods have emerged over the past several years, but such techniques need to be rigorously evaluated for their ability to support the analysis of human genomic data in an efficient and cost-effective manner. With respect to public cloud environments, there are concerns about the inadvertent exposure of human genomic data to unauthorized users. In analyses involving multiple institutions, there is additional concern about data being used beyond agreed research scope and being prcoessed in untrused computational environments, which may not satisfy institutional policies. To systematically investigate these issues, the NIH-funded National Center for Biomedical Computing iDASH (integrating Data for Analysis, ‘anonymization’ and SHaring hosted the second Critical Assessment of Data Privacy and Protection competition to assess the capacity of cryptographic technologies for protecting computation over human genomes in the cloud and promoting cross-institutional collaboration. Data scientists were challenged to design and engineer practical algorithms for secure outsourcing of genome computation tasks in working software, whereby analyses are performed only on encrypted data. They were also challenged to develop approaches to enable secure collaboration on data from genomic studies generated by multiple organizations (e.g., medical centers to jointly compute aggregate statistics without sharing individual-level records. The results of the competition indicated that secure computation techniques can enable comparative analysis of human genomes, but greater efficiency (in terms of compute time and memory utilization are needed before they are sufficiently practical for real world environments.

  17. "Less Clicking, More Watching": Results from the User-Centered Design of a Multi-Institutional Web Site for Art and Culture.

    Science.gov (United States)

    Vergo, John; Karat, Clare-Marie; Karat, John; Pinhanez, Claudio; Arora, Renee; Cofino, Thomas; Riecken, Doug; Podlaseck, Mark

    This paper summarizes a 10-month long research project conducted at the IBM T.J. Watson Research Center aimed at developing the design concept of a multi-institutional art and culture web site. The work followed a user-centered design (UCD) approach, where interaction with prototypes and feedback from potential users of the web site were sought…

  18. Genomics With Cloud Computing

    OpenAIRE

    Sukhamrit Kaur; Sandeep Kaur

    2015-01-01

    Abstract Genomics is study of genome which provides large amount of data for which large storage and computation power is needed. These issues are solved by cloud computing that provides various cloud platforms for genomics. These platforms provides many services to user like easy access to data easy sharing and transfer providing storage in hundreds of terabytes more computational power. Some cloud platforms are Google genomics DNAnexus and Globus genomics. Various features of cloud computin...

  19. Graphical user interfaces and visually disabled users

    NARCIS (Netherlands)

    Poll, L.H.D.; Waterham, R.P.

    1995-01-01

    From February 1992 until the end of 1993, the authors ((IPO) Institute for Perception Research) participated in a European ((TIDE) Technology Initiative for Disabled and Elderly) project which addressed the problem arising for visually disabled computer-users from the growing use of Graphical User

  20. The Virtual Institute for Integrative Biology (VIIB)

    International Nuclear Information System (INIS)

    Rivera, G.; Gonzalez-Nieto, F.; Perez-Acle, T.; Isea, R.; Holmes, D. S.

    2007-01-01

    The Virtual Institute for Integrative Biology (VII B) is a Latin American initiative for achieving global collaborative e-Science in the areas of bioinformatics, genome biology, systems biology, Metagenomic, medical applications and nanobiotechnolgy. The scientific agenda of VIIB includes: construction of databases for comparative genomic, the AlterORF database for alternate open reading frames discovery in genomes, bioinformatics services and protein simulations for biotechnological and medical applications. Human resource development has been promoted through co-sponsored students and shared teaching and seminars via video conferencing. E-Science challenges include: inter operability and connectivity concerns, high performance computing limitations, and the development of customized computational frameworks and flexible work flows to efficiently exploit shared resources without causing impediments to the user. Outreach programs include training workshops and classes for high school teachers and students and the new Adopt-a-Gene initiative. The VIIB has proved an effective way for small teams to transcend the critical mass problem, to overcome geographic limitations, to harness the power of large scale, collaborative science and improve the visibility of Latin American science It may provide a useful paradigm for developing further e-Science initiatives in Latin America and other emerging regions. (Author)

  1. Cardiovascular genomics, personalized medicine, and the National Heart, Lung, and Blood Institute: part I: the beginning of an era.

    Science.gov (United States)

    O'Donnell, Christopher J; Nabel, Elizabeth G

    2008-10-01

    The inaugural issue of Circulation: Cardiovascular Genetics arrives at a remarkable time in the history of genetic research and cardiovascular medicine. Despite tremendous progress in knowledge gained, cardiovascular disease(CVD) remains the leading cause of death in the United States,1 and it has overcome infectious diseases as the leading cause of death worldwide.2 In addition, rates of CVD remain higher in black and Hispanic populations in the United States.1 The recent Strategic Plan of the National Heart, Lung,and Blood Institute (NHLBI) emphasizes research areas to fill the significant knowledge gaps needed to improve the diagnosis,treatment, and control of known risk factors and clinically apparent disease. Simultaneously, the NHLBI Strategic Plan recognizes a tremendous opportunity that is available for use of genetic and genomic research to generate new knowledge that might reduce the morbidity and mortality from CVD in US populations.3 Public availability of vast amounts of detailed sequence information about the human genome, completed sequence data on dozens of other animal genomes, and private sector development of high-throughput genetic technologies has transformed in a few short years the conduct of cardiovascular genetics and genomics research from a primary focus on mendelian disorders to a current emphasis on genome-wide association studies (GWAS; Figure1). In this review, we describe the rationale for the current emphasis on large-scale genomic studies, summarize the evolving approaches and progress to date, and identify immediate-term research needs. The National Institutes of Health (NIH) and the NHLBI are supporting a portfolio of large-scale genetic and genomic programs in diverse US populations with the longer-term objective of translating knowledge into the prediction, prevention, and preemption of CVD, as well as lung, sleep, and blood disorders. Underlying this portfolio is a strong commitment to make available participant-level data and

  2. Viral Genome DataBase: storing and analyzing genes and proteins from complete viral genomes.

    Science.gov (United States)

    Hiscock, D; Upton, C

    2000-05-01

    The Viral Genome DataBase (VGDB) contains detailed information of the genes and predicted protein sequences from 15 completely sequenced genomes of large (&100 kb) viruses (2847 genes). The data that is stored includes DNA sequence, protein sequence, GenBank and user-entered notes, molecular weight (MW), isoelectric point (pI), amino acid content, A + T%, nucleotide frequency, dinucleotide frequency and codon use. The VGDB is a mySQL database with a user-friendly JAVA GUI. Results of queries can be easily sorted by any of the individual parameters. The software and additional figures and information are available at http://athena.bioc.uvic.ca/genomes/index.html .

  3. Ensembl Genomes 2016: more genomes, more complexity.

    Science.gov (United States)

    Kersey, Paul Julian; Allen, James E; Armean, Irina; Boddu, Sanjay; Bolt, Bruce J; Carvalho-Silva, Denise; Christensen, Mikkel; Davis, Paul; Falin, Lee J; Grabmueller, Christoph; Humphrey, Jay; Kerhornou, Arnaud; Khobova, Julia; Aranganathan, Naveen K; Langridge, Nicholas; Lowy, Ernesto; McDowall, Mark D; Maheswari, Uma; Nuhn, Michael; Ong, Chuang Kee; Overduin, Bert; Paulini, Michael; Pedro, Helder; Perry, Emily; Spudich, Giulietta; Tapanari, Electra; Walts, Brandon; Williams, Gareth; Tello-Ruiz, Marcela; Stein, Joshua; Wei, Sharon; Ware, Doreen; Bolser, Daniel M; Howe, Kevin L; Kulesha, Eugene; Lawson, Daniel; Maslen, Gareth; Staines, Daniel M

    2016-01-04

    Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of programmatic and interactive interfaces to a rich range of data including reference sequence, gene models, transcriptional data, genetic variation and comparative analysis. This paper provides an update to the previous publications about the resource, with a focus on recent developments. These include the development of new analyses and views to represent polyploid genomes (of which bread wheat is the primary exemplar); and the continued up-scaling of the resource, which now includes over 23 000 bacterial genomes, 400 fungal genomes and 100 protist genomes, in addition to 55 genomes from invertebrate metazoa and 39 genomes from plants. This dramatic increase in the number of included genomes is one part of a broader effort to automate the integration of archival data (genome sequence, but also associated RNA sequence data and variant calls) within the context of reference genomes and make it available through the Ensembl user interfaces. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  4. Analyzing the influence of institutions on health policy development in Uganda: a case study of the decision to abolish user fees.

    Science.gov (United States)

    Moat, K A; Abelson, J

    2011-12-01

    During the 2001 election campaign, President Yoweri Museveni announced he was abolishing user fees for health services in Uganda. No analysis has been carried out to explain how he was able to initiate such an important policy decision without encountering any immediate barriers. To explain this outcome through in-depth policy analysis driven by the application of key analytical frameworks. An explanatory case study informed by analytical frameworks from the institutionalism literature was undertaken. Multiple data sources were used including: academic literature, key government documents, grey literature, and a variety of print media. According to the analytical frameworks employed, several formal institutional constraints existed that would have reduced the prospects for the abolition of user fees. However, prevalent informal institutions such as "Big Man" presidentialism and clientelism that were both 'competing' and 'complementary' can be used to explain the policy outcome. The analysis suggests that these factors trumped the impact of more formal institutional structures in the Ugandan context. Consideration should be given to the interactions between formal and informal institutions in the analysis of health policy processes in Uganda, as they provide a more nuanced understanding of how each set of factors influence policy outcomes.

  5. Dana-Farber Cancer Institute: Identification of Therapeutic Targets Across Cancer Types | Office of Cancer Genomics

    Science.gov (United States)

    The Dana Farber Cancer Institute CTD2 Center focuses on the use of high-throughput genetic and bioinformatic approaches to identify and credential oncogenes and co-dependencies in cancers. This Center aims to provide the cancer research community with information that will facilitate the prioritization of targets based on both genomic and functional evidence, inform the most appropriate genetic context for downstream mechanistic and validation studies, and enable the translation of this information into therapeutics and diagnostics.

  6. Savant Genome Browser 2: visualization and analysis for population-scale genomics.

    Science.gov (United States)

    Fiume, Marc; Smith, Eric J M; Brook, Andrew; Strbenac, Dario; Turner, Brian; Mezlini, Aziz M; Robinson, Mark D; Wodak, Shoshana J; Brudno, Michael

    2012-07-01

    High-throughput sequencing (HTS) technologies are providing an unprecedented capacity for data generation, and there is a corresponding need for efficient data exploration and analysis capabilities. Although most existing tools for HTS data analysis are developed for either automated (e.g. genotyping) or visualization (e.g. genome browsing) purposes, such tools are most powerful when combined. For example, integration of visualization and computation allows users to iteratively refine their analyses by updating computational parameters within the visual framework in real-time. Here we introduce the second version of the Savant Genome Browser, a standalone program for visual and computational analysis of HTS data. Savant substantially improves upon its predecessor and existing tools by introducing innovative visualization modes and navigation interfaces for several genomic datatypes, and synergizing visual and automated analyses in a way that is powerful yet easy even for non-expert users. We also present a number of plugins that were developed by the Savant Community, which demonstrate the power of integrating visual and automated analyses using Savant. The Savant Genome Browser is freely available (open source) at www.savantbrowser.com.

  7. A Thousand Fly Genomes: An Expanded Drosophila Genome Nexus.

    Science.gov (United States)

    Lack, Justin B; Lange, Jeremy D; Tang, Alison D; Corbett-Detig, Russell B; Pool, John E

    2016-12-01

    The Drosophila Genome Nexus is a population genomic resource that provides D. melanogaster genomes from multiple sources. To facilitate comparisons across data sets, genomes are aligned using a common reference alignment pipeline which involves two rounds of mapping. Regions of residual heterozygosity, identity-by-descent, and recent population admixture are annotated to enable data filtering based on the user's needs. Here, we present a significant expansion of the Drosophila Genome Nexus, which brings the current data object to a total of 1,121 wild-derived genomes. New additions include 305 previously unpublished genomes from inbred lines representing six population samples in Egypt, Ethiopia, France, and South Africa, along with another 193 genomes added from recently-published data sets. We also provide an aligned D. simulans genome to facilitate divergence comparisons. This improved resource will broaden the range of population genomic questions that can addressed from multi-population allele frequencies and haplotypes in this model species. The larger set of genomes will also enhance the discovery of functionally relevant natural variation that exists within and between populations. © The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

  8. The integrated microbial genome resource of analysis.

    Science.gov (United States)

    Checcucci, Alice; Mengoni, Alessio

    2015-01-01

    Integrated Microbial Genomes and Metagenomes (IMG) is a biocomputational system that allows to provide information and support for annotation and comparative analysis of microbial genomes and metagenomes. IMG has been developed by the US Department of Energy (DOE)-Joint Genome Institute (JGI). IMG platform contains both draft and complete genomes, sequenced by Joint Genome Institute and other public and available genomes. Genomes of strains belonging to Archaea, Bacteria, and Eukarya domains are present as well as those of viruses and plasmids. Here, we provide some essential features of IMG system and case study for pangenome analysis.

  9. A web-based multi-genome synteny viewer for customized data

    Directory of Open Access Journals (Sweden)

    Revanna Kashi V

    2012-08-01

    Full Text Available Abstract Background Web-based synteny visualization tools are important for sharing data and revealing patterns of complicated genome conservation and rearrangements. Such tools should allow biologists to upload genomic data for their own analysis. This requirement is critical because individual biologists are generating large amounts of genomic sequences that quickly overwhelm any centralized web resources to collect and display all those data. Recently, we published a web-based synteny viewer, GSV, which was designed to satisfy the above requirement. However, GSV can only compare two genomes at a given time. Extending the functionality of GSV to visualize multiple genomes is important to meet the increasing demand of the research community. Results We have developed a multi-Genome Synteny Viewer (mGSV. Similar to GSV, mGSV is a web-based tool that allows users to upload their own genomic data files for visualization. Multiple genomes can be presented in a single integrated view with an enhanced user interface. Users can navigate through all the selected genomes in either pairwise or multiple viewing mode to examine conserved genomic regions as well as the accompanying genome annotations. Besides serving users who manually interact with the web server, mGSV also provides Web Services for machine-to-machine communication to accept data sent by other remote resources. The entire mGSV package can also be downloaded for easy local installation. Conclusions mGSV significantly enhances the original functionalities of GSV. A web server hosting mGSV is provided at http://cas-bioinfo.cas.unt.edu/mgsv.

  10. Genome Context Viewer: visual exploration of multiple annotated genomes using microsynteny.

    Science.gov (United States)

    Cleary, Alan; Farmer, Andrew

    2018-05-01

    The Genome Context Viewer is a visual data-mining tool that allows users to search across multiple providers of genome data for regions with similarly annotated content that may be aligned and visualized at the level of their shared functional elements. By handling ordered sequences of gene family memberships as a unit of search and comparison, the user interface enables quick and intuitive assessment of the degree of gene content divergence and the presence of various types of structural events within syntenic contexts. Insights into functionally significant differences seen at this level of abstraction can then serve to direct the user to more detailed explorations of the underlying data in other interconnected, provider-specific tools. GCV is provided under the GNU General Public License version 3 (GPL-3.0). Source code is available at https://github.com/legumeinfo/lis_context_viewer. adf@ncgr.org. Supplementary data are available at Bioinformatics online.

  11. Institutional ethical review and ethnographic research involving injection drug users: a case study.

    Science.gov (United States)

    Small, Will; Maher, Lisa; Kerr, Thomas

    2014-03-01

    Ethnographic research among people who inject drugs (PWID) involves complex ethical issues. While ethical review frameworks have been critiqued by social scientists, there is a lack of social science research examining institutional ethical review processes, particularly in relation to ethnographic work. This case study describes the institutional ethical review of an ethnographic research project using observational fieldwork and in-depth interviews to examine injection drug use. The review process and the salient concerns of the review committee are recounted, and the investigators' responses to the committee's concerns and requests are described to illustrate how key issues were resolved. The review committee expressed concerns regarding researcher safety when conducting fieldwork, and the investigators were asked to liaise with the police regarding the proposed research. An ongoing dialogue with the institutional review committee regarding researcher safety and autonomy from police involvement, as well as formal consultation with a local drug user group and solicitation of opinions from external experts, helped to resolve these issues. This case study suggests that ethical review processes can be particularly challenging for ethnographic projects focused on illegal behaviours, and that while some challenges could be mediated by modifying existing ethical review procedures, there is a need for legislation that provides legal protection of research data and participant confidentiality. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. Genomics With Cloud Computing

    Directory of Open Access Journals (Sweden)

    Sukhamrit Kaur

    2015-04-01

    Full Text Available Abstract Genomics is study of genome which provides large amount of data for which large storage and computation power is needed. These issues are solved by cloud computing that provides various cloud platforms for genomics. These platforms provides many services to user like easy access to data easy sharing and transfer providing storage in hundreds of terabytes more computational power. Some cloud platforms are Google genomics DNAnexus and Globus genomics. Various features of cloud computing to genomics are like easy access and sharing of data security of data less cost to pay for resources but still there are some demerits like large time needed to transfer data less network bandwidth.

  13. Marketing activities of higher education institutions

    OpenAIRE

    Varađanin Vladimir

    2017-01-01

    Public sector marketing is a modern-day scientific discipline which is getting more and more attention. Institutions of higher education provide a specific kind of services to their users, which makes these institutions a part of the public sector. Due to dynamic changes in the environment, the demands and needs of higher education institution's users change, which makes it necessary to monitor these changes through certain marketing activities and adjust to them in order to satisfy the users...

  14. Why size really matters when sequencing plant genomes

    Czech Academy of Sciences Publication Activity Database

    Kelly, L.J.; Leitch, A.R.; Fay, M. F.; Renny-Byfield, S.; Pellicer, J.; Macas, Jiří; Leitch, I.J.

    2012-01-01

    Roč. 5, č. 4 (2012), s. 415-425 ISSN 1755-0874 Institutional research plan: CEZ:AV0Z50510513 Institutional support: RVO:60077344 Keywords : C-value * genome assembly * genome size evolution * genome sequencing Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 0.924, year: 2012

  15. Rat Genome Database (RGD)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Rat Genome Database (RGD) is a collaborative effort between leading research institutions involved in rat genetic and genomic research to collect, consolidate,...

  16. MIPS plant genome information resources.

    Science.gov (United States)

    Spannagl, Manuel; Haberer, Georg; Ernst, Rebecca; Schoof, Heiko; Mayer, Klaus F X

    2007-01-01

    The Munich Institute for Protein Sequences (MIPS) has been involved in maintaining plant genome databases since the Arabidopsis thaliana genome project. Genome databases and analysis resources have focused on individual genomes and aim to provide flexible and maintainable data sets for model plant genomes as a backbone against which experimental data, for example from high-throughput functional genomics, can be organized and evaluated. In addition, model genomes also form a scaffold for comparative genomics, and much can be learned from genome-wide evolutionary studies.

  17. Fungal Genomics Program

    Energy Technology Data Exchange (ETDEWEB)

    Grigoriev, Igor

    2012-03-12

    The JGI Fungal Genomics Program aims to scale up sequencing and analysis of fungal genomes to explore the diversity of fungi important for energy and the environment, and to promote functional studies on a system level. Combining new sequencing technologies and comparative genomics tools, JGI is now leading the world in fungal genome sequencing and analysis. Over 120 sequenced fungal genomes with analytical tools are available via MycoCosm (www.jgi.doe.gov/fungi), a web-portal for fungal biologists. Our model of interacting with user communities, unique among other sequencing centers, helps organize these communities, improves genome annotation and analysis work, and facilitates new larger-scale genomic projects. This resulted in 20 high-profile papers published in 2011 alone and contributing to the Genomics Encyclopedia of Fungi, which targets fungi related to plant health (symbionts, pathogens, and biocontrol agents) and biorefinery processes (cellulose degradation, sugar fermentation, industrial hosts). Our next grand challenges include larger scale exploration of fungal diversity (1000 fungal genomes), developing molecular tools for DOE-relevant model organisms, and analysis of complex systems and metagenomes.

  18. ABrowse - a customizable next-generation genome browser framework

    Directory of Open Access Journals (Sweden)

    Kong Lei

    2012-01-01

    Full Text Available Abstract Background With the rapid growth of genome sequencing projects, genome browser is becoming indispensable, not only as a visualization system but also as an interactive platform to support open data access and collaborative work. Thus a customizable genome browser framework with rich functions and flexible configuration is needed to facilitate various genome research projects. Results Based on next-generation web technologies, we have developed a general-purpose genome browser framework ABrowse which provides interactive browsing experience, open data access and collaborative work support. By supporting Google-map-like smooth navigation, ABrowse offers end users highly interactive browsing experience. To facilitate further data analysis, multiple data access approaches are supported for external platforms to retrieve data from ABrowse. To promote collaborative work, an online user-space is provided for end users to create, store and share comments, annotations and landmarks. For data providers, ABrowse is highly customizable and configurable. The framework provides a set of utilities to import annotation data conveniently. To build ABrowse on existing annotation databases, data providers could specify SQL statements according to database schema. And customized pages for detailed information display of annotation entries could be easily plugged in. For developers, new drawing strategies could be integrated into ABrowse for new types of annotation data. In addition, standard web service is provided for data retrieval remotely, providing underlying machine-oriented programming interface for open data access. Conclusions ABrowse framework is valuable for end users, data providers and developers by providing rich user functions and flexible customization approaches. The source code is published under GNU Lesser General Public License v3.0 and is accessible at http://www.abrowse.org/. To demonstrate all the features of ABrowse, a live demo for

  19. ABrowse--a customizable next-generation genome browser framework.

    Science.gov (United States)

    Kong, Lei; Wang, Jun; Zhao, Shuqi; Gu, Xiaocheng; Luo, Jingchu; Gao, Ge

    2012-01-05

    With the rapid growth of genome sequencing projects, genome browser is becoming indispensable, not only as a visualization system but also as an interactive platform to support open data access and collaborative work. Thus a customizable genome browser framework with rich functions and flexible configuration is needed to facilitate various genome research projects. Based on next-generation web technologies, we have developed a general-purpose genome browser framework ABrowse which provides interactive browsing experience, open data access and collaborative work support. By supporting Google-map-like smooth navigation, ABrowse offers end users highly interactive browsing experience. To facilitate further data analysis, multiple data access approaches are supported for external platforms to retrieve data from ABrowse. To promote collaborative work, an online user-space is provided for end users to create, store and share comments, annotations and landmarks. For data providers, ABrowse is highly customizable and configurable. The framework provides a set of utilities to import annotation data conveniently. To build ABrowse on existing annotation databases, data providers could specify SQL statements according to database schema. And customized pages for detailed information display of annotation entries could be easily plugged in. For developers, new drawing strategies could be integrated into ABrowse for new types of annotation data. In addition, standard web service is provided for data retrieval remotely, providing underlying machine-oriented programming interface for open data access. ABrowse framework is valuable for end users, data providers and developers by providing rich user functions and flexible customization approaches. The source code is published under GNU Lesser General Public License v3.0 and is accessible at http://www.abrowse.org/. To demonstrate all the features of ABrowse, a live demo for Arabidopsis thaliana genome has been built at http://arabidopsis.cbi.edu.cn/.

  20. ABrowse - a customizable next-generation genome browser framework

    Science.gov (United States)

    2012-01-01

    Background With the rapid growth of genome sequencing projects, genome browser is becoming indispensable, not only as a visualization system but also as an interactive platform to support open data access and collaborative work. Thus a customizable genome browser framework with rich functions and flexible configuration is needed to facilitate various genome research projects. Results Based on next-generation web technologies, we have developed a general-purpose genome browser framework ABrowse which provides interactive browsing experience, open data access and collaborative work support. By supporting Google-map-like smooth navigation, ABrowse offers end users highly interactive browsing experience. To facilitate further data analysis, multiple data access approaches are supported for external platforms to retrieve data from ABrowse. To promote collaborative work, an online user-space is provided for end users to create, store and share comments, annotations and landmarks. For data providers, ABrowse is highly customizable and configurable. The framework provides a set of utilities to import annotation data conveniently. To build ABrowse on existing annotation databases, data providers could specify SQL statements according to database schema. And customized pages for detailed information display of annotation entries could be easily plugged in. For developers, new drawing strategies could be integrated into ABrowse for new types of annotation data. In addition, standard web service is provided for data retrieval remotely, providing underlying machine-oriented programming interface for open data access. Conclusions ABrowse framework is valuable for end users, data providers and developers by providing rich user functions and flexible customization approaches. The source code is published under GNU Lesser General Public License v3.0 and is accessible at http://www.abrowse.org/. To demonstrate all the features of ABrowse, a live demo for Arabidopsis thaliana genome

  1. Use and User Perception of Electronic Information Resources: A Case Study of Siva Institute of Frontier Technology, India

    Directory of Open Access Journals (Sweden)

    Velmurugan Chandran

    2013-12-01

    Full Text Available The present study aims to explore the use and user perception of electronic resources in Siva Institute of Frontier Technology, India. A total number of 123 users were taken into account for the study through a questionnaire-based survey method. A well-structured questionnaire was designed and distributed to the selected 200 students and staff members. 123 copies of the questionnaires were returned dully filled in and the overall response rate was 61.50 percent. The questionnaire contained both open- and close-ended questions. The collected data were classified, analyzed, and tabulated by using simple statistical methods. This study covers the impact of electronic resources on students and faculty in their academic pursuit.

  2. Importing statistical measures into Artemis enhances gene identification in the Leishmania genome project

    Directory of Open Access Journals (Sweden)

    McDonagh Paul D

    2003-06-01

    Full Text Available Abstract Background Seattle Biomedical Research Institute (SBRI as part of the Leishmania Genome Network (LGN is sequencing chromosomes of the trypanosomatid protozoan species Leishmania major. At SBRI, chromosomal sequence is annotated using a combination of trained and untrained non-consensus gene-prediction algorithms with ARTEMIS, an annotation platform with rich and user-friendly interfaces. Results Here we describe a methodology used to import results from three different protein-coding gene-prediction algorithms (GLIMMER, TESTCODE and GENESCAN into the ARTEMIS sequence viewer and annotation tool. Comparison of these methods, along with the CODONUSAGE algorithm built into ARTEMIS, shows the importance of combining methods to more accurately annotate the L. major genomic sequence. Conclusion An improvised and powerful tool for gene prediction has been developed by importing data from widely-used algorithms into an existing annotation platform. This approach is especially fruitful in the Leishmania genome project where there is large proportion of novel genes requiring manual annotation.

  3. Development of disposal technologies for radioactive waste generated from radioisotope users and research institutes

    International Nuclear Information System (INIS)

    Sakai, Akihiro; Yoshimori, Michiro

    2001-01-01

    In order to safely dispose of a radioactive waste, which is generated from radioisotope users and research institutes, investigation of characteristics of the waste and conceptual design of disposal facility were carried out. As a result of investigating JAERI that the waste has mainly been stored, it became clear that radioactivities of 19 nuclides are important from the viewpoint of the safety of the disposal. And the result of the conceptual design of disposal facilities on the assumption of 3 kinds of sites, the differences on the safety could not be recognized in either case, though the installation depth to construct the facilities influenced the economical efficiency. (author)

  4. BLAST Ring Image Generator (BRIG: simple prokaryote genome comparisons

    Directory of Open Access Journals (Sweden)

    Beatson Scott A

    2011-08-01

    Full Text Available Abstract Background Visualisation of genome comparisons is invaluable for helping to determine genotypic differences between closely related prokaryotes. New visualisation and abstraction methods are required in order to improve the validation, interpretation and communication of genome sequence information; especially with the increasing amount of data arising from next-generation sequencing projects. Visualising a prokaryote genome as a circular image has become a powerful means of displaying informative comparisons of one genome to a number of others. Several programs, imaging libraries and internet resources already exist for this purpose, however, most are either limited in the number of comparisons they can show, are unable to adequately utilise draft genome sequence data, or require a knowledge of command-line scripting for implementation. Currently, there is no freely available desktop application that enables users to rapidly visualise comparisons between hundreds of draft or complete genomes in a single image. Results BLAST Ring Image Generator (BRIG can generate images that show multiple prokaryote genome comparisons, without an arbitrary limit on the number of genomes compared. The output image shows similarity between a central reference sequence and other sequences as a set of concentric rings, where BLAST matches are coloured on a sliding scale indicating a defined percentage identity. Images can also include draft genome assembly information to show read coverage, assembly breakpoints and collapsed repeats. In addition, BRIG supports the mapping of unassembled sequencing reads against one or more central reference sequences. Many types of custom data and annotations can be shown using BRIG, making it a versatile approach for visualising a range of genomic comparison data. BRIG is readily accessible to any user, as it assumes no specialist computational knowledge and will perform all required file parsing and BLAST comparisons

  5. BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons.

    Science.gov (United States)

    Alikhan, Nabil-Fareed; Petty, Nicola K; Ben Zakour, Nouri L; Beatson, Scott A

    2011-08-08

    Visualisation of genome comparisons is invaluable for helping to determine genotypic differences between closely related prokaryotes. New visualisation and abstraction methods are required in order to improve the validation, interpretation and communication of genome sequence information; especially with the increasing amount of data arising from next-generation sequencing projects. Visualising a prokaryote genome as a circular image has become a powerful means of displaying informative comparisons of one genome to a number of others. Several programs, imaging libraries and internet resources already exist for this purpose, however, most are either limited in the number of comparisons they can show, are unable to adequately utilise draft genome sequence data, or require a knowledge of command-line scripting for implementation. Currently, there is no freely available desktop application that enables users to rapidly visualise comparisons between hundreds of draft or complete genomes in a single image. BLAST Ring Image Generator (BRIG) can generate images that show multiple prokaryote genome comparisons, without an arbitrary limit on the number of genomes compared. The output image shows similarity between a central reference sequence and other sequences as a set of concentric rings, where BLAST matches are coloured on a sliding scale indicating a defined percentage identity. Images can also include draft genome assembly information to show read coverage, assembly breakpoints and collapsed repeats. In addition, BRIG supports the mapping of unassembled sequencing reads against one or more central reference sequences. Many types of custom data and annotations can be shown using BRIG, making it a versatile approach for visualising a range of genomic comparison data. BRIG is readily accessible to any user, as it assumes no specialist computational knowledge and will perform all required file parsing and BLAST comparisons automatically. There is a clear need for a user

  6. Family genome browser: visualizing genomes with pedigree information.

    Science.gov (United States)

    Juan, Liran; Liu, Yongzhuang; Wang, Yongtian; Teng, Mingxiang; Zang, Tianyi; Wang, Yadong

    2015-07-15

    Families with inherited diseases are widely used in Mendelian/complex disease studies. Owing to the advances in high-throughput sequencing technologies, family genome sequencing becomes more and more prevalent. Visualizing family genomes can greatly facilitate human genetics studies and personalized medicine. However, due to the complex genetic relationships and high similarities among genomes of consanguineous family members, family genomes are difficult to be visualized in traditional genome visualization framework. How to visualize the family genome variants and their functions with integrated pedigree information remains a critical challenge. We developed the Family Genome Browser (FGB) to provide comprehensive analysis and visualization for family genomes. The FGB can visualize family genomes in both individual level and variant level effectively, through integrating genome data with pedigree information. Family genome analysis, including determination of parental origin of the variants, detection of de novo mutations, identification of potential recombination events and identical-by-decent segments, etc., can be performed flexibly. Diverse annotations for the family genome variants, such as dbSNP memberships, linkage disequilibriums, genes, variant effects, potential phenotypes, etc., are illustrated as well. Moreover, the FGB can automatically search de novo mutations and compound heterozygous variants for a selected individual, and guide investigators to find high-risk genes with flexible navigation options. These features enable users to investigate and understand family genomes intuitively and systematically. The FGB is available at http://mlg.hit.edu.cn/FGB/. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  7. Guidelines for collecting vouchers and tissues intended for genomic work (Smithsonian Institution: Botany Best Practices

    Directory of Open Access Journals (Sweden)

    Vicki Funk

    2017-01-01

    Full Text Available The introduction of Next Generation Sequencing into the disciplines of plant systematics, ecology, and metagenomics, among others, has resulted in a phenomenal increase in the collecting and storing of tissue samples and their respective vouchers. This manual suggests standard practices that will insure the quality and preservation of the tissue and vouchers and their respective data. Although written for use by the Smithsonian Institution botanists it suggests a framework for collecting tissues and vouchers that other research programs can adapt to their own needs. It includes information on collecting voucher specimens, collecting plant tissue intended for genomic analysis, how to manage these collections, and how to incorporate the data into a database management system. It also includes many useful references for collecting and processing collections. We hope it will be useful for a variety of botanists but especially those who know how to collect plants and want to collect tissue samples that will be useful for genomic research, and those who are skilled in lab work and want to know how to properly voucher and record their tissue collections.

  8. Dana-Farber Cancer Institute: Identification of Therapeutic Targets in KRAS Driven Lung Cancer | Office of Cancer Genomics

    Science.gov (United States)

    The CTD2 Center at Dana Farber Cancer Institute focuses on the use of high-throughput genetic and bioinformatic approaches to identify and credential oncogenes and co-dependencies in cancers. This Center aims to provide the cancer research community with information that will facilitate the prioritization of targets based on both genomic and functional evidence, inform the most appropriate genetic context for downstream mechanistic and validation studies, and enable the translation of this information into therapeutics and diagnostics.

  9. Genome Variation Map: a data repository of genome variations in BIG Data Center

    OpenAIRE

    Song, Shuhui; Tian, Dongmei; Li, Cuiping; Tang, Bixia; Dong, Lili; Xiao, Jingfa; Bao, Yiming; Zhao, Wenming; He, Hang; Zhang, Zhang

    2017-01-01

    Abstract The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. As a core resource in the BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, GVM dedicates to collect, integrate and visualize genome variations for a wide range of species, accepts submissions of different types of genome variations from all over the world and provides free open access to all publicly available data in support of worldwide research a...

  10. eGenomics: Cataloguing Our Complete Genome Collection III

    Directory of Open Access Journals (Sweden)

    Dawn Field

    2007-01-01

    Full Text Available This meeting report summarizes the proceedings of the “eGenomics: Cataloguing our Complete Genome Collection III” workshop held September 11–13, 2006, at the National Institute for Environmental eScience (NIEeS, Cambridge, United Kingdom. This 3rd workshop of the Genomic Standards Consortium was divided into two parts. The first half of the three-day workshop was dedicated to reviewing the genomic diversity of our current and future genome and metagenome collection, and exploring linkages to a series of existing projects through formal presentations. The second half was dedicated to strategic discussions. Outcomes of the workshop include a revised “Minimum Information about a Genome Sequence” (MIGS specification (v1.1, consensus on a variety of features to be added to the Genome Catalogue (GCat, agreement by several researchers to adopt MIGS for imminent genome publications, and an agreement by the EBI and NCBI to input their genome collections into GCat for the purpose of quantifying the amount of optional data already available (e.g., for geographic location coordinates and working towards a single, global list of all public genomes and metagenomes.

  11. CAGO: a software tool for dynamic visual comparison and correlation measurement of genome organization.

    Directory of Open Access Journals (Sweden)

    Yi-Feng Chang

    Full Text Available CAGO (Comparative Analysis of Genome Organization is developed to address two critical shortcomings of conventional genome atlas plotters: lack of dynamic exploratory functions and absence of signal analysis for genomic properties. With dynamic exploratory functions, users can directly manipulate chromosome tracks of a genome atlas and intuitively identify distinct genomic signals by visual comparison. Signal analysis of genomic properties can further detect inconspicuous patterns from noisy genomic properties and calculate correlations between genomic properties across various genomes. To implement dynamic exploratory functions, CAGO presents each genome atlas in Scalable Vector Graphics (SVG format and allows users to interact with it using a SVG viewer through JavaScript. Signal analysis functions are implemented using R statistical software and a discrete wavelet transformation package waveslim. CAGO is not only a plotter for generating complex genome atlases, but also a platform for exploring genome atlases with dynamic exploratory functions for visual comparison and with signal analysis for comparing genomic properties across multiple organisms. The web-based application of CAGO, its source code, user guides, video demos, and live examples are publicly available and can be accessed at http://cbs.ym.edu.tw/cago.

  12. Linked data and user interaction

    CERN Document Server

    Cervone, H Frank

    2015-01-01

    This collection of research papers provides extensive information on deploying services, concepts, and approaches for using open linked data from libraries and other cultural heritage institutions. With a special emphasis on how libraries and other cultural heritage institutions can create effective end user interfaces using open, linked data or other datasets. These papers are essential reading for any one interesting in user interface design or the semantic web.

  13. CrusView: a Java-based visualization platform for comparative genomics analyses in Brassicaceae species.

    Science.gov (United States)

    Chen, Hao; Wang, Xiangfeng

    2013-09-01

    In plants and animals, chromosomal breakage and fusion events based on conserved syntenic genomic blocks lead to conserved patterns of karyotype evolution among species of the same family. However, karyotype information has not been well utilized in genomic comparison studies. We present CrusView, a Java-based bioinformatic application utilizing Standard Widget Toolkit/Swing graphics libraries and a SQLite database for performing visualized analyses of comparative genomics data in Brassicaceae (crucifer) plants. Compared with similar software and databases, one of the unique features of CrusView is its integration of karyotype information when comparing two genomes. This feature allows users to perform karyotype-based genome assembly and karyotype-assisted genome synteny analyses with preset karyotype patterns of the Brassicaceae genomes. Additionally, CrusView is a local program, which gives its users high flexibility when analyzing unpublished genomes and allows users to upload self-defined genomic information so that they can visually study the associations between genome structural variations and genetic elements, including chromosomal rearrangements, genomic macrosynteny, gene families, high-frequency recombination sites, and tandem and segmental duplications between related species. This tool will greatly facilitate karyotype, chromosome, and genome evolution studies using visualized comparative genomics approaches in Brassicaceae species. CrusView is freely available at http://www.cmbb.arizona.edu/CrusView/.

  14. CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline

    OpenAIRE

    Agrawal, Sonia; Arze, Cesar; Adkins, Ricky S.; Crabtree, Jonathan; Riley, David; Vangala, Mahesh; Galens, Kevin; Fraser, Claire M.; Tettelin, Herv?; White, Owen; Angiuoli, Samuel V.; Mahurkar, Anup; Fricke, W. Florian

    2017-01-01

    Background The benefit of increasing genomic sequence data to the scientific community depends on easy-to-use, scalable bioinformatics support. CloVR-Comparative combines commonly used bioinformatics tools into an intuitive, automated, and cloud-enabled analysis pipeline for comparative microbial genomics. Results CloVR-Comparative runs on annotated complete or draft genome sequences that are uploaded by the user or selected via a taxonomic tree-based user interface and downloaded from NCBI. ...

  15. Marketing activities of higher education institutions

    Directory of Open Access Journals (Sweden)

    Varađanin Vladimir

    2017-01-01

    Full Text Available Public sector marketing is a modern-day scientific discipline which is getting more and more attention. Institutions of higher education provide a specific kind of services to their users, which makes these institutions a part of the public sector. Due to dynamic changes in the environment, the demands and needs of higher education institution's users change, which makes it necessary to monitor these changes through certain marketing activities and adjust to them in order to satisfy the users' needs. Each higher education institution sets its own goals which, broadly speaking, are to meet their own needs, the needs of students and the society as a whole. Therefore, when formulating a strategy for achieving the objectives of higher education institutions, it is necessary to have timely information from the environment. The modern approach to business puts forward the service users' needs. When it comes to institutions of higher education, the users are primarily students, who thus get the most attention. Keeping this in mind, we have conducted a research among students in order to identify the choice factors influencing their higher education institution selection process. The results obtained should provide guidelines for creating an adequate marketing mix in order to gain competitive advantage on the market for higher education. In the research descriptive and comparative methods were used. In the practical part of the research, survey technique was applied by means of a non-standardized questionnaire. The research results imply that the analysis of the factors influencing the process of selecting the higher education institution enables the creation of an adequate combination of instruments in a marketing mix which can then be used as an instrument for gaining competitive advantage.

  16. Marine Genomics: A clearing-house for genomic and transcriptomic data of marine organisms

    Directory of Open Access Journals (Sweden)

    Trent Harold F

    2005-03-01

    Full Text Available Abstract Background The Marine Genomics project is a functional genomics initiative developed to provide a pipeline for the curation of Expressed Sequence Tags (ESTs and gene expression microarray data for marine organisms. It provides a unique clearing-house for marine specific EST and microarray data and is currently available at http://www.marinegenomics.org. Description The Marine Genomics pipeline automates the processing, maintenance, storage and analysis of EST and microarray data for an increasing number of marine species. It currently contains 19 species databases (over 46,000 EST sequences that are maintained by registered users from local and remote locations in Europe and South America in addition to the USA. A collection of analysis tools are implemented. These include a pipeline upload tool for EST FASTA file, sequence trace file and microarray data, an annotative text search, automated sequence trimming, sequence quality control (QA/QC editing, sequence BLAST capabilities and a tool for interactive submission to GenBank. Another feature of this resource is the integration with a scientific computing analysis environment implemented by MATLAB. Conclusion The conglomeration of multiple marine organisms with integrated analysis tools enables users to focus on the comprehensive descriptions of transcriptomic responses to typical marine stresses. This cross species data comparison and integration enables users to contain their research within a marine-oriented data management and analysis environment.

  17. LocusTrack: Integrated visualization of GWAS results and genomic annotation.

    Science.gov (United States)

    Cuellar-Partida, Gabriel; Renteria, Miguel E; MacGregor, Stuart

    2015-01-01

    Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and diseases. Visual inspection of genomic annotations may be used to generate insights into the biological mechanisms underlying GWAS-identified loci. We developed LocusTrack, a web-based application that annotates and creates plots of regional GWAS results and incorporates user-specified tracks that display annotations such as linkage disequilibrium (LD), phylogenetic conservation, chromatin state, and other genomic and regulatory elements. Currently, LocusTrack can integrate annotation tracks from the UCSC genome-browser as well as from any tracks provided by the user. LocusTrack is an easy-to-use application and can be accessed at the following URL: http://gump.qimr.edu.au/general/gabrieC/LocusTrack/. Users can upload and manage GWAS results and select from and/or provide annotation tracks using simple and intuitive menus. LocusTrack scripts and associated data can be downloaded from the website and run locally.

  18. The YH database: the first Asian diploid genome database

    DEFF Research Database (Denmark)

    Li, Guoqing; Ma, Lijia; Song, Chao

    2009-01-01

    genome consensus. The YH database is currently one of the three personal genome database, organizing the original data and analysis results in a user-friendly interface, which is an endeavor to achieve fundamental goals for establishing personal medicine. The database is available at http://yh.genomics.org.cn....

  19. The Vigna Genome Server, 'VigGS': A Genomic Knowledge Base of the Genus Vigna Based on High-Quality, Annotated Genome Sequence of the Azuki Bean, Vigna angularis (Willd.) Ohwi & Ohashi.

    Science.gov (United States)

    Sakai, Hiroaki; Naito, Ken; Takahashi, Yu; Sato, Toshiyuki; Yamamoto, Toshiya; Muto, Isamu; Itoh, Takeshi; Tomooka, Norihiko

    2016-01-01

    The genus Vigna includes legume crops such as cowpea, mungbean and azuki bean, as well as >100 wild species. A number of the wild species are highly tolerant to severe environmental conditions including high-salinity, acid or alkaline soil; drought; flooding; and pests and diseases. These features of the genus Vigna make it a good target for investigation of genetic diversity in adaptation to stressful environments; however, a lack of genomic information has hindered such research in this genus. Here, we present a genome database of the genus Vigna, Vigna Genome Server ('VigGS', http://viggs.dna.affrc.go.jp), based on the recently sequenced azuki bean genome, which incorporates annotated exon-intron structures, along with evidence for transcripts and proteins, visualized in GBrowse. VigGS also facilitates user construction of multiple alignments between azuki bean genes and those of six related dicot species. In addition, the database displays sequence polymorphisms between azuki bean and its wild relatives and enables users to design primer sequences targeting any variant site. VigGS offers a simple keyword search in addition to sequence similarity searches using BLAST and BLAT. To incorporate up to date genomic information, VigGS automatically receives newly deposited mRNA sequences of pre-set species from the public database once a week. Users can refer to not only gene structures mapped on the azuki bean genome on GBrowse but also relevant literature of the genes. VigGS will contribute to genomic research into plant biotic and abiotic stresses and to the future development of new stress-tolerant crops. © The Author 2015. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

  20. Specialized microbial databases for inductive exploration of microbial genome sequences

    Directory of Open Access Journals (Sweden)

    Cabau Cédric

    2005-02-01

    Full Text Available Abstract Background The enormous amount of genome sequence data asks for user-oriented databases to manage sequences and annotations. Queries must include search tools permitting function identification through exploration of related objects. Methods The GenoList package for collecting and mining microbial genome databases has been rewritten using MySQL as the database management system. Functions that were not available in MySQL, such as nested subquery, have been implemented. Results Inductive reasoning in the study of genomes starts from "islands of knowledge", centered around genes with some known background. With this concept of "neighborhood" in mind, a modified version of the GenoList structure has been used for organizing sequence data from prokaryotic genomes of particular interest in China. GenoChore http://bioinfo.hku.hk/genochore.html, a set of 17 specialized end-user-oriented microbial databases (including one instance of Microsporidia, Encephalitozoon cuniculi, a member of Eukarya has been made publicly available. These databases allow the user to browse genome sequence and annotation data using standard queries. In addition they provide a weekly update of searches against the world-wide protein sequences data libraries, allowing one to monitor annotation updates on genes of interest. Finally, they allow users to search for patterns in DNA or protein sequences, taking into account a clustering of genes into formal operons, as well as providing extra facilities to query sequences using predefined sequence patterns. Conclusion This growing set of specialized microbial databases organize data created by the first Chinese bacterial genome programs (ThermaList, Thermoanaerobacter tencongensis, LeptoList, with two different genomes of Leptospira interrogans and SepiList, Staphylococcus epidermidis associated to related organisms for comparison.

  1. Comparative Genome Viewer

    International Nuclear Information System (INIS)

    Molineris, I.; Sales, G.

    2009-01-01

    The amount of information about genomes, both in the form of complete sequences and annotations, has been exponentially increasing in the last few years. As a result there is the need for tools providing a graphical representation of such information that should be comprehensive and intuitive. Visual representation is especially important in the comparative genomics field since it should provide a combined view of data belonging to different genomes. We believe that existing tools are limited in this respect as they focus on a single genome at a time (conservation histograms) or compress alignment representation to a single dimension. We have therefore developed a web-based tool called Comparative Genome Viewer (Cgv): it integrates a bidimensional representation of alignments between two regions, both at small and big scales, with the richness of annotations present in other genome browsers. We give access to our system through a web-based interface that provides the user with an interactive representation that can be updated in real time using the mouse to move from region to region and to zoom in on interesting details.

  2. Genome Modeling System: A Knowledge Management Platform for Genomics.

    Directory of Open Access Journals (Sweden)

    Malachi Griffith

    2015-07-01

    Full Text Available In this work, we present the Genome Modeling System (GMS, an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395 and matched lymphoblastoid line (HCC1395BL. These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms.

  3. The Human Gene Mutation Database: building a comprehensive mutation repository for clinical and molecular genetics, diagnostic testing and personalized genomic medicine.

    Science.gov (United States)

    Stenson, Peter D; Mort, Matthew; Ball, Edward V; Shaw, Katy; Phillips, Andrew; Cooper, David N

    2014-01-01

    The Human Gene Mutation Database (HGMD®) is a comprehensive collection of germline mutations in nuclear genes that underlie, or are associated with, human inherited disease. By June 2013, the database contained over 141,000 different lesions detected in over 5,700 different genes, with new mutation entries currently accumulating at a rate exceeding 10,000 per annum. HGMD was originally established in 1996 for the scientific study of mutational mechanisms in human genes. However, it has since acquired a much broader utility as a central unified disease-oriented mutation repository utilized by human molecular geneticists, genome scientists, molecular biologists, clinicians and genetic counsellors as well as by those specializing in biopharmaceuticals, bioinformatics and personalized genomics. The public version of HGMD (http://www.hgmd.org) is freely available to registered users from academic institutions/non-profit organizations whilst the subscription version (HGMD Professional) is available to academic, clinical and commercial users under license via BIOBASE GmbH.

  4. Radio- and magnetobiology program GENOM at Nuclear Institute

    Energy Technology Data Exchange (ETDEWEB)

    Molchanov, E

    1985-01-01

    The five-year program called GENOM was adopted at OIYAI five years ago. The main task of this program has been the study of mechanisms that determine differences in the biological effectiveness of ionizing radiations with different stopping powers, as well as regularities involved in the action of magnetic fields. A unit called GENOM, which is controlled by a computer, was built at OIYAI. With this unit, living cells have been irradiated with charged particles of various energies, using the U-200. Magnetic-field generators and a unit which makes it possible to weaken the strength of the earth's magnetic field by a million times have been developed for magnetobiology research. DNA molecules, bacteria, yeasts, plant cells, normal and tumor cells of animals, and nerve cells of mollusks have been objects of research.

  5. CyanoBase: the cyanobacteria genome database update 2010

    OpenAIRE

    Nakao, Mitsuteru; Okamoto, Shinobu; Kohara, Mitsuyo; Fujishiro, Tsunakazu; Fujisawa, Takatomo; Sato, Shusei; Tabata, Satoshi; Kaneko, Takakazu; Nakamura, Yasukazu

    2009-01-01

    CyanoBase (http://genome.kazusa.or.jp/cyanobase) is the genome database for cyanobacteria, which are model organisms for photosynthesis. The database houses cyanobacteria species information, complete genome sequences, genome-scale experiment data, gene information, gene annotations and mutant information. In this version, we updated these datasets and improved the navigation and the visual display of the data views. In addition, a web service API now enables users to retrieve the data in var...

  6. CrusView: A Java-Based Visualization Platform for Comparative Genomics Analyses in Brassicaceae Species[OPEN

    Science.gov (United States)

    Chen, Hao; Wang, Xiangfeng

    2013-01-01

    In plants and animals, chromosomal breakage and fusion events based on conserved syntenic genomic blocks lead to conserved patterns of karyotype evolution among species of the same family. However, karyotype information has not been well utilized in genomic comparison studies. We present CrusView, a Java-based bioinformatic application utilizing Standard Widget Toolkit/Swing graphics libraries and a SQLite database for performing visualized analyses of comparative genomics data in Brassicaceae (crucifer) plants. Compared with similar software and databases, one of the unique features of CrusView is its integration of karyotype information when comparing two genomes. This feature allows users to perform karyotype-based genome assembly and karyotype-assisted genome synteny analyses with preset karyotype patterns of the Brassicaceae genomes. Additionally, CrusView is a local program, which gives its users high flexibility when analyzing unpublished genomes and allows users to upload self-defined genomic information so that they can visually study the associations between genome structural variations and genetic elements, including chromosomal rearrangements, genomic macrosynteny, gene families, high-frequency recombination sites, and tandem and segmental duplications between related species. This tool will greatly facilitate karyotype, chromosome, and genome evolution studies using visualized comparative genomics approaches in Brassicaceae species. CrusView is freely available at http://www.cmbb.arizona.edu/CrusView/. PMID:23898041

  7. GeNemo: a search engine for web-based functional genomic data.

    Science.gov (United States)

    Zhang, Yongqing; Cao, Xiaoyi; Zhong, Sheng

    2016-07-08

    A set of new data types emerged from functional genomic assays, including ChIP-seq, DNase-seq, FAIRE-seq and others. The results are typically stored as genome-wide intensities (WIG/bigWig files) or functional genomic regions (peak/BED files). These data types present new challenges to big data science. Here, we present GeNemo, a web-based search engine for functional genomic data. GeNemo searches user-input data against online functional genomic datasets, including the entire collection of ENCODE and mouse ENCODE datasets. Unlike text-based search engines, GeNemo's searches are based on pattern matching of functional genomic regions. This distinguishes GeNemo from text or DNA sequence searches. The user can input any complete or partial functional genomic dataset, for example, a binding intensity file (bigWig) or a peak file. GeNemo reports any genomic regions, ranging from hundred bases to hundred thousand bases, from any of the online ENCODE datasets that share similar functional (binding, modification, accessibility) patterns. This is enabled by a Markov Chain Monte Carlo-based maximization process, executed on up to 24 parallel computing threads. By clicking on a search result, the user can visually compare her/his data with the found datasets and navigate the identified genomic regions. GeNemo is available at www.genemo.org. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  8. Genomecmp: computer software to detect genomic rearrangements using markers

    Science.gov (United States)

    Kulawik, Maciej; Nowak, Robert M.

    2017-08-01

    Detection of genomics rearrangements is a tough task, because of the size of data to be processed. As genome sequences may consist of hundreds of millions symbols, it is not only practically impossible to compare them by hand, but it is also complex problem for computer software. The way to significantly accelerate the process is to use rearrangement detection algorithm based on unique short sequences called markers. The algorithm described in this paper develops markers using base genome and find the markers positions on other genome. The algorithm has been extended by support for ambiguity symbols. Web application with graphical user interface has been created using three-layer architecture, where users could run the task simultaneously. The accuracy and efficiency of proposed solution has been studied using generated and real data.

  9. G-InforBIO: integrated system for microbial genomics

    Directory of Open Access Journals (Sweden)

    Abe Takashi

    2006-08-01

    Full Text Available Abstract Background Genome databases contain diverse kinds of information, including gene annotations and nucleotide and amino acid sequences. It is not easy to integrate such information for genomic study. There are few tools for integrated analyses of genomic data, therefore, we developed software that enables users to handle, manipulate, and analyze genome data with a variety of sequence analysis programs. Results The G-InforBIO system is a novel tool for genome data management and sequence analysis. The system can import genome data encoded as eXtensible Markup Language documents as formatted text documents, including annotations and sequences, from DNA Data Bank of Japan and GenBank encoded as flat files. The genome database is constructed automatically after importing, and the database can be exported as documents formatted with eXtensible Markup Language or tab-deliminated text. Users can retrieve data from the database by keyword searches, edit annotation data of genes, and process data with G-InforBIO. In addition, information in the G-InforBIO database can be analyzed seamlessly with nine different software programs, including programs for clustering and homology analyses. Conclusion The G-InforBIO system simplifies genome analyses by integrating several available software programs to allow efficient handling and manipulation of genome data. G-InforBIO is freely available from the download site.

  10. Human Genome Project

    Energy Technology Data Exchange (ETDEWEB)

    Block, S. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Cornwall, J. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Dally, W. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Dyson, F. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Fortson, N. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Joyce, G. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Kimble, H. J. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Lewis, N. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Max, C. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Prince, T. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Schwitters, R. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Weinberger, P. [The MITRE Corporation, McLean, VA (US). JASON Program Office; Woodin, W. H. [The MITRE Corporation, McLean, VA (US). JASON Program Office

    1998-01-04

    The study reviews Department of Energy supported aspects of the United States Human Genome Project, the joint National Institutes of Health/Department of Energy program to characterize all human genetic material, to discover the set of human genes, and to render them accessible for further biological study. The study concentrates on issues of technology, quality assurance/control, and informatics relevant to current effort on the genome project and needs beyond it. Recommendations are presented on areas of the genome program that are of particular interest to and supported by the Department of Energy.

  11. Goodbye genome paper, hello genome report: the increasing popularity of 'genome announcements' and their impact on science.

    Science.gov (United States)

    Smith, David Roy

    2017-05-01

    Next-generation sequencing technologies have revolutionized genomics and altered the scientific publication landscape. Life-science journals abound with genome papers-peer-reviewed descriptions of newly sequenced chromosomes. Although they once filled the pages of Nature and Science, genome papers are now mostly relegated to journals with low-impact factors. Some have forecast the death of the genome paper and argued that they are using up valuable resources and not advancing science. However, the publication rate of genome papers is on the rise. This increase is largely because some journals have created a new category of manuscript called genome reports, which are short, fast-tracked papers describing a chromosome sequence(s), its GenBank accession number and little else. In 2015, for example, more than 2000 genome reports were published, and 2016 is poised to bring even more. Here, I highlight the growing popularity of genome reports and discuss their merits, drawbacks and impact on science and the academic publication infrastructure. Genome reports can be excellent assets for the research community, but they are also being used as quick and easy routes to a publication, and in some instances they are not peer reviewed. One of the best arguments for genome reports is that they are a citable, user-generated genomic resource providing essential methodological and biological information, which may not be present in the sequence database. But they are expensive and time-consuming avenues for achieving such a goal. © The Author 2016. Published by Oxford University Press.

  12. Ensembl Genomes 2013: scaling up access to genome-wide data.

    Science.gov (United States)

    Kersey, Paul Julian; Allen, James E; Christensen, Mikkel; Davis, Paul; Falin, Lee J; Grabmueller, Christoph; Hughes, Daniel Seth Toney; Humphrey, Jay; Kerhornou, Arnaud; Khobova, Julia; Langridge, Nicholas; McDowall, Mark D; Maheswari, Uma; Maslen, Gareth; Nuhn, Michael; Ong, Chuang Kee; Paulini, Michael; Pedro, Helder; Toneva, Iliana; Tuli, Mary Ann; Walts, Brandon; Williams, Gareth; Wilson, Derek; Youens-Clark, Ken; Monaco, Marcela K; Stein, Joshua; Wei, Xuehong; Ware, Doreen; Bolser, Daniel M; Howe, Kevin Lee; Kulesha, Eugene; Lawson, Daniel; Staines, Daniel Michael

    2014-01-01

    Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species. The project exploits and extends technologies for genome annotation, analysis and dissemination, developed in the context of the vertebrate-focused Ensembl project, and provides a complementary set of resources for non-vertebrate species through a consistent set of programmatic and interactive interfaces. These provide access to data including reference sequence, gene models, transcriptional data, polymorphisms and comparative analysis. This article provides an update to the previous publications about the resource, with a focus on recent developments. These include the addition of important new genomes (and related data sets) including crop plants, vectors of human disease and eukaryotic pathogens. In addition, the resource has scaled up its representation of bacterial genomes, and now includes the genomes of over 9000 bacteria. Specific extensions to the web and programmatic interfaces have been developed to support users in navigating these large data sets. Looking forward, analytic tools to allow targeted selection of data for visualization and download are likely to become increasingly important in future as the number of available genomes increases within all domains of life, and some of the challenges faced in representing bacterial data are likely to become commonplace for eukaryotes in future.

  13. Efficient privacy-preserving string search and an application in genomics.

    Science.gov (United States)

    Shimizu, Kana; Nuida, Koji; Rätsch, Gunnar

    2016-06-01

    Personal genomes carry inherent privacy risks and protecting privacy poses major social and technological challenges. We consider the case where a user searches for genetic information (e.g. an allele) on a server that stores a large genomic database and aims to receive allele-associated information. The user would like to keep the query and result private and the server the database. We propose a novel approach that combines efficient string data structures such as the Burrows-Wheeler transform with cryptographic techniques based on additive homomorphic encryption. We assume that the sequence data is searchable in efficient iterative query operations over a large indexed dictionary, for instance, from large genome collections and employing the (positional) Burrows-Wheeler transform. We use a technique called oblivious transfer that is based on additive homomorphic encryption to conceal the sequence query and the genomic region of interest in positional queries. We designed and implemented an efficient algorithm for searching sequences of SNPs in large genome databases. During search, the user can only identify the longest match while the server does not learn which sequence of SNPs the user queried. In an experiment based on 2184 aligned haploid genomes from the 1000 Genomes Project, our algorithm was able to perform typical queries within [Formula: see text] 4.6 s and [Formula: see text] 10.8 s for client and server side, respectively, on laptop computers. The presented algorithm is at least one order of magnitude faster than an exhaustive baseline algorithm. https://github.com/iskana/PBWT-sec and https://github.com/ratschlab/PBWT-sec shimizu-kana@aist.go.jp or Gunnar.Ratsch@ratschlab.org Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.

  14. Perception and Information Behaviour of Institutional Repository End-Users Provides Valuable Insight for Future Development. A Review of: St. Jean, B., Rieh, S. Y., Yakel, E., & Markey, K. (2011. Unheard voices: Institutional repository end-users. College & Research Libraries, 72(1, 21-42.

    Directory of Open Access Journals (Sweden)

    Lisa Shen

    2012-06-01

    Full Text Available Objective – To determine the perceptions andinformation behavior of institutionalrepository (IR end-users.Design – Semi-structured interviews.Setting – The interviews were conducted overthe telephone.Subjects – Twenty end-users of five differentIRs were interviewed for the study. Seventeenof the interviewees were recruited viarecruitment forms the researchers placed on IRhomepages and the other three intervieweeswere referred to researchers by IR managers.The interviewees’ academic backgroundsvaried, including six undergraduates, fourmasters’ students, three doctorial students, fivefaculty, and two library or museum staffmembers. They represented disciplines in Artsand Humanities (5, Science and HealthSciences (10, and Social Sciences (5. Fifteen ofthe 20 interviewees were recruited throughtheir own institution’s IR. All except two of theinterviewees had used the IR for which theywere recruited less than six times.Methods – Forty-three potential intervieweeswere recruited using web recruitment formsand IR manager recommendations.Researchers subsequently excluded 23 (53.5%of the interviewees because they wereprimarily IR contributors rather than endusers,or could not be reached by phone.Twenty interviews ranging from 17 to 60 minutes were conducted between January and June 2008. The average interview time was 34 minutes. The recordings were transcribed then analyzed using qualitative data analysis software NVivo7. Coding categories were developed using both the original research questions and emerging themes from the actual transcripts. The final coding scheme had a Holsi Coefficient of Reliability of 0.732 for inter-coder reliability.Main Results – Researchers identified six common themes from the results:How do end-users characterize IRs?While most interviewees recognized that there is a relationship between the IR and its host institution, their understandings of the function and content of IRs varied widely. Interviewees

  15. CyanoBase: the cyanobacteria genome database update 2010.

    Science.gov (United States)

    Nakao, Mitsuteru; Okamoto, Shinobu; Kohara, Mitsuyo; Fujishiro, Tsunakazu; Fujisawa, Takatomo; Sato, Shusei; Tabata, Satoshi; Kaneko, Takakazu; Nakamura, Yasukazu

    2010-01-01

    CyanoBase (http://genome.kazusa.or.jp/cyanobase) is the genome database for cyanobacteria, which are model organisms for photosynthesis. The database houses cyanobacteria species information, complete genome sequences, genome-scale experiment data, gene information, gene annotations and mutant information. In this version, we updated these datasets and improved the navigation and the visual display of the data views. In addition, a web service API now enables users to retrieve the data in various formats with other tools, seamlessly.

  16. TCGA Workshop: Genomics and Biology of Glioblastoma Multiforme (GBM) - TCGA

    Science.gov (United States)

    The National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI) held a workshop entitled, “Genomics and Biology of Glioblastoma Multiforme (GBM),” to review the initial GBM data from the TCGA pilot project.

  17. User Guidelines for the Brassica Database: BRAD.

    Science.gov (United States)

    Wang, Xiaobo; Cheng, Feng; Wang, Xiaowu

    2016-01-01

    The genome sequence of Brassica rapa was first released in 2011. Since then, further Brassica genomes have been sequenced or are undergoing sequencing. It is therefore necessary to develop tools that help users to mine information from genomic data efficiently. This will greatly aid scientific exploration and breeding application, especially for those with low levels of bioinformatic training. Therefore, the Brassica database (BRAD) was built to collect, integrate, illustrate, and visualize Brassica genomic datasets. BRAD provides useful searching and data mining tools, and facilitates the search of gene annotation datasets, syntenic or non-syntenic orthologs, and flanking regions of functional genomic elements. It also includes genome-analysis tools such as BLAST and GBrowse. One of the important aims of BRAD is to build a bridge between Brassica crop genomes with the genome of the model species Arabidopsis thaliana, thus transferring the bulk of A. thaliana gene study information for use with newly sequenced Brassica crops.

  18. CompaGB: An open framework for genome browsers comparison

    Directory of Open Access Journals (Sweden)

    Chiapello Hélène

    2011-05-01

    Full Text Available Abstract Background Tools to visualize and explore genomes hold a central place in genomics and the diversity of genome browsers has increased dramatically over the last few years. It often turns out to be a daunting task to compare and choose a well-adapted genome browser, as multidisciplinary knowledge is required to carry out this task and the number of tools, functionalities and features are overwhelming. Findings To assist in this task, we propose a community-based framework based on two cornerstones: (i the implementation of industry promoted software qualification method (QSOS adapted for genome browser evaluations, and (ii a web resource providing numerous facilities either for visualizing comparisons or performing new evaluations. We formulated 60 criteria specifically for genome browsers, and incorporated another 65 directly from QSOS's generic section. Those criteria aim to answer versatile needs, ranging from a biologist whose interest primarily lies into user-friendly and informative functionalities, a bioinformatician who wants to integrate the genome browser into a wider framework, or a computer scientist who might choose a software according to more technical features. We developed a dedicated web application to enrich the existing QSOS functionalities (weighting of criteria, user profile with features of interest to a community-based framework: easy management of evolving data, user comments... Conclusions The framework is available at http://genome.jouy.inra.fr/CompaGB. It is open to anyone who wishes to participate in the evaluations. It helps the scientific community to (1 choose a genome browser that would better fit their particular project, (2 visualize features comparatively with easily accessible formats, such as tables or radar plots and (3 perform their own evaluation against the defined criteria. To illustrate the CompaGB functionalities, we have evaluated seven genome browsers according to the implemented methodology

  19. Public Libraries, Museums and User Participation - An outline of a research projeckt

    DEFF Research Database (Denmark)

    Jochumsen, Henrik; Rasmussen, Casper Hvenegaard

    2013-01-01

    The aim of this paper is to sketch a research project on user participation in public libraries and museums. For several years’ user participation, participatory culture and user driven innovation have been “buzzwords” in the ongoing development of cultural institutions in general and in museums...... of the research project. The case of Roskilde is particularly illustrative as it not only contains user participation, libraries and museums but also illustrate how the development of user participation actually blurs the borders of the two institutions. After a definition of the concept of user participation...... and a brief discussion of the institutional and political relevance of doing research into the field, we will pinpoint some challenges that both libraries and museums are facing so as to emphasize the importance of studying how the increasing focus on user development is expressed in both institutions...

  20. Updates to the Cool Season Food Legume Genome Database: Resources for pea, lentil, faba bean and chickpea genetics, genomics and breeding

    Science.gov (United States)

    The Cool Season Food Legume Genome database (CSFL, www.coolseasonfoodlegume.org) is an online resource for genomics, genetics, and breeding research for chickpea, lentil,pea, and faba bean. The user-friendly and curated website allows for all publicly available map,marker,trait, gene,transcript, ger...

  1. The genome BLASTatlas - a GeneWiz extension for visualization of whole-genome homology

    DEFF Research Database (Denmark)

    Hallin, Peter Fischer; Binnewies, Tim Terence; Ussery, David

    2008-01-01

    ://www.cbs.dtu.dk/ws/BLASTatlas), where programming examples are available in Perl. By providing an interoperable method to carry out whole genome visualization of homology, this service offers bioinformaticians as well as biologists an easy-to-adopt workflow that can be directly called from the programming language of the user, hence......The development of fast and inexpensive methods for sequencing bacterial genomes has led to a wealth of data, often with many genomes being sequenced of the same species or closely related organisms. Thus, there is a need for visualization methods that will allow easy comparison of many sequenced...... genomes to a defined reference strain. The BLASTatlas is one such tool that is useful for mapping and visualizing whole genome homology of genes and proteins within a reference strain compared to other strains or species of one or more prokaryotic organisms. We provide examples of BLASTatlases, including...

  2. AGORA : Organellar genome annotation from the amino acid and nucleotide references.

    Science.gov (United States)

    Jung, Jaehee; Kim, Jong Im; Jeong, Young-Sik; Yi, Gangman

    2018-03-29

    Next-generation sequencing (NGS) technologies have led to the accumulation of highthroughput sequence data from various organisms in biology. To apply gene annotation of organellar genomes for various organisms, more optimized tools for functional gene annotation are required. Almost all gene annotation tools are mainly focused on the chloroplast genome of land plants or the mitochondrial genome of animals.We have developed a web application AGORA for the fast, user-friendly, and improved annotations of organellar genomes. AGORA annotates genes based on a BLAST-based homology search and clustering with selected reference sequences from the NCBI database or user-defined uploaded data. AGORA can annotate the functional genes in almost all mitochondrion and plastid genomes of eukaryotes. The gene annotation of a genome with an exon-intron structure within a gene or inverted repeat region is also available. It provides information of start and end positions of each gene, BLAST results compared with the reference sequence, and visualization of gene map by OGDRAW. Users can freely use the software, and the accessible URL is https://bigdata.dongguk.edu/gene_project/AGORA/.The main module of the tool is implemented by the python and php, and the web page is built by the HTML and CSS to support all browsers. gangman@dongguk.edu.

  3. CMG-biotools, a free workbench for basic comparative microbial genomics.

    Science.gov (United States)

    Vesth, Tammi; Lagesen, Karin; Acar, Öncel; Ussery, David

    2013-01-01

    Today, there are more than a hundred times as many sequenced prokaryotic genomes than were present in the year 2000. The economical sequencing of genomic DNA has facilitated a whole new approach to microbial genomics. The real power of genomics is manifested through comparative genomics that can reveal strain specific characteristics, diversity within species and many other aspects. However, comparative genomics is a field not easily entered into by scientists with few computational skills. The CMG-biotools package is designed for microbiologists with limited knowledge of computational analysis and can be used to perform a number of analyses and comparisons of genomic data. The CMG-biotools system presents a stand-alone interface for comparative microbial genomics. The package is a customized operating system, based on Xubuntu 10.10, available through the open source Ubuntu project. The system can be installed on a virtual computer, allowing the user to run the system alongside any other operating system. Source codes for all programs are provided under GNU license, which makes it possible to transfer the programs to other systems if so desired. We here demonstrate the package by comparing and analyzing the diversity within the class Negativicutes, represented by 31 genomes including 10 genera. The analyses include 16S rRNA phylogeny, basic DNA and codon statistics, proteome comparisons using BLAST and graphical analyses of DNA structures. This paper shows the strength and diverse use of the CMG-biotools system. The system can be installed on a vide range of host operating systems and utilizes as much of the host computer as desired. It allows the user to compare multiple genomes, from various sources using standardized data formats and intuitive visualizations of results. The examples presented here clearly shows that users with limited computational experience can perform complicated analysis without much training.

  4. When whole-genome alignments just won't work: kSNP v2 software for alignment-free SNP discovery and phylogenetics of hundreds of microbial genomes.

    Science.gov (United States)

    Gardner, Shea N; Hall, Barry G

    2013-01-01

    Effective use of rapid and inexpensive whole genome sequencing for microbes requires fast, memory efficient bioinformatics tools for sequence comparison. The kSNP v2 software finds single nucleotide polymorphisms (SNPs) in whole genome data. kSNP v2 has numerous improvements over kSNP v1 including SNP gene annotation; better scaling for draft genomes available as assembled contigs or raw, unassembled reads; a tool to identify the optimal value of k; distribution of packages of executables for Linux and Mac OS X for ease of installation and user-friendly use; and a detailed User Guide. SNP discovery is based on k-mer analysis, and requires no multiple sequence alignment or the selection of a single reference genome. Most target sets with hundreds of genomes complete in minutes to hours. SNP phylogenies are built by maximum likelihood, parsimony, and distance, based on all SNPs, only core SNPs, or SNPs present in some intermediate user-specified fraction of targets. The SNP-based trees that result are consistent with known taxonomy. kSNP v2 can handle many gigabases of sequence in a single run, and if one or more annotated genomes are included in the target set, SNPs are annotated with protein coding and other information (UTRs, etc.) from Genbank file(s). We demonstrate application of kSNP v2 on sets of viral and bacterial genomes, and discuss in detail analysis of a set of 68 finished E. coli and Shigella genomes and a set of the same genomes to which have been added 47 assemblies and four "raw read" genomes of H104:H4 strains from the recent European E. coli outbreak that resulted in both bloody diarrhea and hemolytic uremic syndrome (HUS), and caused at least 50 deaths.

  5. Xylella fastidiosa comparative genomic database is an information resource to explore the annotation, genomic features, and biology of different strains

    Directory of Open Access Journals (Sweden)

    Alessandro M. Varani

    2012-01-01

    Full Text Available The Xylella fastidiosa comparative genomic database is a scientific resource with the aim to provide a user-friendly interface for accessing high-quality manually curated genomic annotation and comparative sequence analysis, as well as for identifying and mapping prophage-like elements, a marked feature of Xylella genomes. Here we describe a database and tools for exploring the biology of this important plant pathogen. The hallmarks of this database are the high quality genomic annotation, the functional and comparative genomic analysis and the identification and mapping of prophage-like elements. It is available from web site http://www.xylella.lncc.br.

  6. Automated ensemble assembly and validation of microbial genomes

    Science.gov (United States)

    2014-01-01

    Background The continued democratization of DNA sequencing has sparked a new wave of development of genome assembly and assembly validation methods. As individual research labs, rather than centralized centers, begin to sequence the majority of new genomes, it is important to establish best practices for genome assembly. However, recent evaluations such as GAGE and the Assemblathon have concluded that there is no single best approach to genome assembly. Instead, it is preferable to generate multiple assemblies and validate them to determine which is most useful for the desired analysis; this is a labor-intensive process that is often impossible or unfeasible. Results To encourage best practices supported by the community, we present iMetAMOS, an automated ensemble assembly pipeline; iMetAMOS encapsulates the process of running, validating, and selecting a single assembly from multiple assemblies. iMetAMOS packages several leading open-source tools into a single binary that automates parameter selection and execution of multiple assemblers, scores the resulting assemblies based on multiple validation metrics, and annotates the assemblies for genes and contaminants. We demonstrate the utility of the ensemble process on 225 previously unassembled Mycobacterium tuberculosis genomes as well as a Rhodobacter sphaeroides benchmark dataset. On these real data, iMetAMOS reliably produces validated assemblies and identifies potential contamination without user intervention. In addition, intelligent parameter selection produces assemblies of R. sphaeroides comparable to or exceeding the quality of those from the GAGE-B evaluation, affecting the relative ranking of some assemblers. Conclusions Ensemble assembly with iMetAMOS provides users with multiple, validated assemblies for each genome. Although computationally limited to small or mid-sized genomes, this approach is the most effective and reproducible means for generating high-quality assemblies and enables users to

  7. [Interpersonal relationships: perception of the communication, treatment and adverse experiences encountered by users of medical units that belong to the Coordinating Commission of the National Institutes of Health and High Specialty Hospitals (CCINSHAE)].

    Science.gov (United States)

    Arroyo-Valerio, América Guadalupe Guadalupe; Cortés-Poza, David; Aguirre Hernández, Rebeca; Fuentes García, Ruth; Ramírez de la Roche, Omar Fernando; Hamui Sutton, Alicia

    2013-01-01

    User's perception with regard to the attention they received in healthcare units is increasingly being taken into account by the health service providers in order to improve the quality of their service. Describe how the users perceive the health services provided by the CCINSHAE with regard to the communication with the physicians, the attention of the staff and the adverse personal and institutional experiences and to explore their relation with user's demographic characteristics, health condition, physical limitations to carry out daily activities and service area. A questionnaire was designed to collect information about the user and his/her opinion with regard to the healthcare units, the communication with the physicians, the attention of the staff and the adverse personal and institutional experiences. The data were analyzed with STATA using sample weights. A total of 2,176 individuals were interviewed after they had received attention and represent a population of 1,457,964 users, over 6 months, of the CCINSAHE. We then calculated four binary variables that reflect the perception of the users. These four variables were significantly associated with the type of health unit where the user received attention, schooling, limitations to carry out daily activities, facilities provided to the relatives, family income, the use of alternative medicine, and the area of attention. A fundamental aspect of the service provided by the healthcare institutions is the communication between the physicians and the users. We found that the perception of the users with regard to the communication with the physician, the attention of the staff, and the adverse personal and institutional experiences was associated with the type of healthcare unit. The federal reference hospitals produced the most unfavorable perception while the regional hospitals produced the most favorable impression. This study enables the decision-making personnel to determine what needs to be modified in

  8. Gigwa-Genotype investigator for genome-wide analyses.

    Science.gov (United States)

    Sempéré, Guilhem; Philippe, Florian; Dereeper, Alexis; Ruiz, Manuel; Sarah, Gautier; Larmande, Pierre

    2016-06-06

    Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability properties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. In addition, it provides a wide range of popular export formats. The Gigwa application is suitable for managing large amounts of genomic variation data. Its user-friendly web interface makes such processing widely accessible. It can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers.

  9. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.

    Science.gov (United States)

    Thorvaldsdóttir, Helga; Robinson, James T; Mesirov, Jill P

    2013-03-01

    Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today's sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of IGV is its focus on the integrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and the integration of clinical and phenotypic data. Although IGV is often used to view genomic data from public sources, its primary emphasis is to support researchers who wish to visualize and explore their own data sets or those from colleagues. To that end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available for download from http://www.broadinstitute.org/igv, under a GNU LGPL open-source license.

  10. iPat: intelligent prediction and association tool for genomic research.

    Science.gov (United States)

    Chen, Chunpeng James; Zhang, Zhiwu

    2018-06-01

    The ultimate goal of genomic research is to effectively predict phenotypes from genotypes so that medical management can improve human health and molecular breeding can increase agricultural production. Genomic prediction or selection (GS) plays a complementary role to genome-wide association studies (GWAS), which is the primary method to identify genes underlying phenotypes. Unfortunately, most computing tools cannot perform data analyses for both GWAS and GS. Furthermore, the majority of these tools are executed through a command-line interface (CLI), which requires programming skills. Non-programmers struggle to use them efficiently because of the steep learning curves and zero tolerance for data formats and mistakes when inputting keywords and parameters. To address these problems, this study developed a software package, named the Intelligent Prediction and Association Tool (iPat), with a user-friendly graphical user interface. With iPat, GWAS or GS can be performed using a pointing device to simply drag and/or click on graphical elements to specify input data files, choose input parameters and select analytical models. Models available to users include those implemented in third party CLI packages such as GAPIT, PLINK, FarmCPU, BLINK, rrBLUP and BGLR. Users can choose any data format and conduct analyses with any of these packages. File conversions are automatically conducted for specified input data and selected packages. A GWAS-assisted genomic prediction method was implemented to perform genomic prediction using any GWAS method such as FarmCPU. iPat was written in Java for adaptation to multiple operating systems including Windows, Mac and Linux. The iPat executable file, user manual, tutorials and example datasets are freely available at http://zzlab.net/iPat. zhiwu.zhang@wsu.edu.

  11. Federation in genomics pipelines: techniques and challenges.

    Science.gov (United States)

    Chaterji, Somali; Koo, Jinkyu; Li, Ninghui; Meyer, Folker; Grama, Ananth; Bagchi, Saurabh

    2017-08-29

    Federation is a popular concept in building distributed cyberinfrastructures, whereby computational resources are provided by multiple organizations through a unified portal, decreasing the complexity of moving data back and forth among multiple organizations. Federation has been used in bioinformatics only to a limited extent, namely, federation of datastores, e.g. SBGrid Consortium for structural biology and Gene Expression Omnibus (GEO) for functional genomics. Here, we posit that it is important to federate both computational resources (CPU, GPU, FPGA, etc.) and datastores to support popular bioinformatics portals, with fast-increasing data volumes and increasing processing requirements. A prime example, and one that we discuss here, is in genomics and metagenomics. It is critical that the processing of the data be done without having to transport the data across large network distances. We exemplify our design and development through our experience with metagenomics-RAST (MG-RAST), the most popular metagenomics analysis pipeline. Currently, it is hosted completely at Argonne National Laboratory. However, through a recently started collaborative National Institutes of Health project, we are taking steps toward federating this infrastructure. Being a widely used resource, we have to move toward federation without disrupting 50 K annual users. In this article, we describe the computational tools that will be useful for federating a bioinformatics infrastructure and the open research challenges that we see in federating such infrastructures. It is hoped that our manuscript can serve to spur greater federation of bioinformatics infrastructures by showing the steps involved, and thus, allow them to scale to support larger user bases. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  12. ChickVD: a sequence variation database for the chicken genome

    DEFF Research Database (Denmark)

    Wang, Jing; He, Ximiao; Ruan, Jue

    2005-01-01

    Working in parallel with the efforts to sequence the chicken (Gallus gallus) genome, the Beijing Genomics Institute led an international team of scientists from China, USA, UK, Sweden, The Netherlands and Germany to map extensive DNA sequence variation throughout the chicken genome by sampling DN...... on quantitative trait loci using data from collaborating institutions and public resources. Our data can be queried by search engine and homology-based BLAST searches. ChickVD is publicly accessible at http://chicken.genomics.org.cn. Udgivelsesdato: 2005-Jan-1...

  13. GeneDig: a web application for accessing genomic and bioinformatics knowledge.

    Science.gov (United States)

    Suciu, Radu M; Aydin, Emir; Chen, Brian E

    2015-02-28

    With the exponential increase and widespread availability of genomic, transcriptomic, and proteomic data, accessing these '-omics' data is becoming increasingly difficult. The current resources for accessing and analyzing these data have been created to perform highly specific functions intended for specialists, and thus typically emphasize functionality over user experience. We have developed a web-based application, GeneDig.org, that allows any general user access to genomic information with ease and efficiency. GeneDig allows for searching and browsing genes and genomes, while a dynamic navigator displays genomic, RNA, and protein information simultaneously for co-navigation. We demonstrate that our application allows more than five times faster and efficient access to genomic information than any currently available methods. We have developed GeneDig as a platform for bioinformatics integration focused on usability as its central design. This platform will introduce genomic navigation to broader audiences while aiding the bioinformatics analyses performed in everyday biology research.

  14. Implementing genomics and pharmacogenomics in the clinic: The National Human Genome Research Institute’s genomic medicine portfolio

    Science.gov (United States)

    Manolio, Teri A.

    2016-01-01

    Increasing knowledge about the influence of genetic variation on human health and growing availability of reliable, cost-effective genetic testing have spurred the implementation of genomic medicine in the clinic. As defined by the National Human Genome Research Institute (NHGRI), genomic medicine uses an individual’s genetic information in his or her clinical care, and has begun to be applied effectively in areas such as cancer genomics, pharmacogenomics, and rare and undiagnosed diseases. In 2011 NHGRI published its strategic vision for the future of genomic research, including an ambitious research agenda to facilitate and promote the implementation of genomic medicine. To realize this agenda, NHGRI is consulting and facilitating collaborations with the external research community through a series of “Genomic Medicine Meetings,” under the guidance and leadership of the National Advisory Council on Human Genome Research. These meetings have identified and begun to address significant obstacles to implementation, such as lack of evidence of efficacy, limited availability of genomics expertise and testing, lack of standards, and diffficulties in integrating genomic results into electronic medical records. The six research and dissemination initiatives comprising NHGRI’s genomic research portfolio are designed to speed the evaluation and incorporation, where appropriate, of genomic technologies and findings into routine clinical care. Actual adoption of successful approaches in clinical care will depend upon the willingness, interest, and energy of professional societies, practitioners, patients, and payers to promote their responsible use and share their experiences in doing so. PMID:27612677

  15. De-anonymizing Genomic Databases Using Phenotypic Traits

    Directory of Open Access Journals (Sweden)

    Humbert Mathias

    2015-06-01

    Full Text Available People increasingly have their genomes sequenced and some of them share their genomic data online. They do so for various purposes, including to find relatives and to help advance genomic research. An individual’s genome carries very sensitive, private information such as its owner’s susceptibility to diseases, which could be used for discrimination. Therefore, genomic databases are often anonymized. However, an individual’s genotype is also linked to visible phenotypic traits, such as eye or hair color, which can be used to re-identify users in anonymized public genomic databases, thus raising severe privacy issues. For instance, an adversary can identify a target’s genome using known her phenotypic traits and subsequently infer her susceptibility to Alzheimer’s disease. In this paper, we quantify, based on various phenotypic traits, the extent of this threat in several scenarios by implementing de-anonymization attacks on a genomic database of OpenSNP users sequenced by 23andMe. Our experimental results show that the proportion of correct matches reaches 23% with a supervised approach in a database of 50 participants. Our approach outperforms the baseline by a factor of four, in terms of the proportion of correct matches, in most scenarios. We also evaluate the adversary’s ability to predict individuals’ predisposition to Alzheimer’s disease, and we observe that the inference error can be halved compared to the baseline. We also analyze the effect of the number of known phenotypic traits on the success rate of the attack. As progress is made in genomic research, especially for genotype-phenotype associations, the threat presented in this paper will become more serious.

  16. Danish User-Centered Innovation

    DEFF Research Database (Denmark)

    Jeppesen, Lars Bo

    2007-01-01

    Danish User-centered Innovation Lab (DUCI lab) is a collaboration between faculty at Copenhagen Business School, Aarhus School of Business and Massachusetts Institute of Technology, based at Copenhagen Business School. DUCI lab is a unique effort to understand the issues involved in user innovation...... processes, with particular emphasis on managing user driven innovation. The project takes advantage of CBS location in Denmark. Denmark has been at the forefront in creating policies that favor user driven innovation. CBS's location at the heart of one of the world's most vibrant user driven regions...... companies and on how such practices can be diffused broadly for the benefit of start-ups, SME's and other types of organizations....

  17. Comparison of the Spectral-Temporally Modulated Ripple Test With the Arizona Biomedical Institute Sentence Test in Cochlear Implant Users.

    Science.gov (United States)

    Lawler, Marshall; Yu, Jeffrey; Aronoff, Justin M

    Although speech perception is the gold standard for measuring cochlear implant (CI) users' performance, speech perception tests often require extensive adaptation to obtain accurate results, particularly after large changes in maps. Spectral ripple tests, which measure spectral resolution, are an alternate measure that has been shown to correlate with speech perception. A modified spectral ripple test, the spectral-temporally modulated ripple test (SMRT) has recently been developed, and the objective of this study was to compare speech perception and performance on the SMRT for a heterogeneous population of unilateral CI users, bilateral CI users, and bimodal users. Twenty-five CI users (eight using unilateral CIs, nine using bilateral CIs, and eight using a CI and a hearing aid) were tested on the Arizona Biomedical Institute Sentence Test (AzBio) with a +8 dB signal to noise ratio, and on the SMRT. All participants were tested with their clinical programs. There was a significant correlation between SMRT and AzBio performance. After a practice block, an improvement of one ripple per octave for SMRT corresponded to an improvement of 12.1% for AzBio. Additionally, there was no significant difference in slope or intercept between any of the CI populations. The results indicate that performance on the SMRT correlates with speech recognition in noise when measured across unilateral, bilateral, and bimodal CI populations. These results suggest that SMRT scores are strongly associated with speech recognition in noise ability in experienced CI users. Further studies should focus on increasing both the size and diversity of the tested participants, and on determining whether the SMRT technique can be used for early predictions of long-term speech scores, or for evaluating differences among different stimulation strategies or parameter settings.

  18. Millstone: software for multiplex microbial genome analysis and engineering.

    Science.gov (United States)

    Goodman, Daniel B; Kuznetsov, Gleb; Lajoie, Marc J; Ahern, Brian W; Napolitano, Michael G; Chen, Kevin Y; Chen, Changping; Church, George M

    2017-05-25

    Inexpensive DNA sequencing and advances in genome editing have made computational analysis a major rate-limiting step in adaptive laboratory evolution and microbial genome engineering. We describe Millstone, a web-based platform that automates genotype comparison and visualization for projects with up to hundreds of genomic samples. To enable iterative genome engineering, Millstone allows users to design oligonucleotide libraries and create successive versions of reference genomes. Millstone is open source and easily deployable to a cloud platform, local cluster, or desktop, making it a scalable solution for any lab.

  19. Performance Assessment Institute-NV

    Energy Technology Data Exchange (ETDEWEB)

    Lombardo, Joesph [Univ. of Nevada, Las Vegas, NV (United States)

    2012-12-31

    The National Supercomputing Center for Energy and the Environment’s intention is to purchase a multi-purpose computer cluster in support of the Performance Assessment Institute (PA Institute). The PA Institute will serve as a research consortium located in Las Vegas Nevada with membership that includes: national laboratories, universities, industry partners, and domestic and international governments. This center will provide a one-of-a-kind centralized facility for the accumulation of information for use by Institutions of Higher Learning, the U.S. Government, and Regulatory Agencies and approved users. This initiative will enhance and extend High Performance Computing (HPC) resources in Nevada to support critical national and international needs in "scientific confirmation". The PA Institute will be promoted as the leading Modeling, Learning and Research Center worldwide. The program proposes to utilize the existing supercomputing capabilities and alliances of the University of Nevada Las Vegas as a base, and to extend these resource and capabilities through a collaborative relationship with its membership. The PA Institute will provide an academic setting for interactive sharing, learning, mentoring and monitoring of multi-disciplinary performance assessment and performance confirmation information. The role of the PA Institute is to facilitate research, knowledge-increase, and knowledge-sharing among users.

  20. A Blueprint for Genomic Nursing Science

    Science.gov (United States)

    Calzone, Kathleen A.; Jenkins, Jean; Bakos, Alexis D.; Cashion, Ann; Donaldson, Nancy; Feero, Greg; Feetham, Suzanne; Grady, Patricia A.; Hinshaw, Ada Sue; Knebel, Ann R.; Robinson, Nellie; Ropka, Mary E.; Seibert, Diane; Stevens, Kathleen R.; Tully, Lois A.; Webb, Jo Ann

    2012-01-01

    Purpose This article reports on recommendations arising from an invitational workshop series held at the National Institutes of Health for the purposes of identifying critical genomics problems important to the health of the public that can be addressed through nursing science. The overall purpose of the Genomic Nursing State of the Science Initiative is to establish a nursing research blueprint based on gaps in the evidence and expert evaluation of the current state of the science and through public comment. Organizing Constructs A Genomic Nursing State of the Science Advisory Panel was convened in 2012 to develop the nursing research blueprint. The Advisory Panel, which met via two webinars and two in-person meetings, considered existing evidence from evidence reviews, testimony from key stakeholder groups, presentations from experts in research synthesis, and public comment. Findings The genomic nursing science blueprint arising from the Genomic Nursing State of Science Advisory Panel focuses on biologic plausibility studies as well as interventions likely to improve a variety of outcomes (e.g., clinical, economic, environmental). It also includes all care settings and diverse populations. The focus is on (a) the client, defined as person, family, community, or population; (b) the context, targeting informatics support systems, capacity building, education, and environmental influences; and (c) cross-cutting themes. It was agreed that building capacity to measure the impact of nursing actions on costs, quality, and outcomes of patient care is a strategic and scientific priority if findings are to be synthesized and aggregated to inform practice and policy. Conclusions The genomic nursing science blueprint provides the framework for furthering genomic nursing science to improve health outcomes. This blueprint is an independent recommendation of the Advisory Panel with input from the public and is not a policy statement of the National Institutes of Health or the

  1. The Genome Atlas Resource

    DEFF Research Database (Denmark)

    Azam Qureshi, Matloob; Rotenberg, Eva; Stærfeldt, Hans Henrik

    2010-01-01

    with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The results are made available via a web interface developed in Java, PHP and Perl CGI. User...

  2. The Phaeodactylum genome reveals the evolutionary history of diatom genomes

    Czech Academy of Sciences Publication Activity Database

    Bowler, Ch.; Allen, A. E.; Badger, J. H.; Grimwood, J.; Jabbari, K.; Kuo, A.; Maheswari, U.; Martens, C.; Maumus, F.; Otillar, R. P.; Rayko, E.; Salamov, A.; Vandepoele, K.; Beszteri, B.; Gruber, A.; Heijde, M.; Katinka, M.; Mock, T.; Valentin, K.; Verret, F.; Berges, J. A.; Brownlee, C.; Cadoret, J.-P.; Chiovitti, A.; Choi, Ch. J.; Coesel, S.; De Martino, A.; Detter, J. Ch.; Durkin, C.; Falciatore, A.; Fournet, J.; Haruta, M.; Huysman, M. J. J.; Jenkins, B. D.; Jiroutová, Kateřina; Jorgensen, R. E.; Joubert, Y.; Kaplan, A.; Kröger, N.; Kroth, P. G.; La Roche, J.; Lindquist, E.; Lommer, M.; Martin–Jézéquel, V.; Lopez, P. J.; Lucas, S.; Mangogna, M.; McGinnis, K.; Medlin, L. K.; Montsant, A.; Oudot–Le Secq, M.-P.; Napoli, C.; Oborník, Miroslav; Schnitzler Parker, M.; Petit, J.-L.; Porcel, B. M.; Poulsen, N.; Robison, M.; Rychlewski, L.; Rynearson, T. A.; Schmutz, J.; Shapiro, H.; Siaut, M.; Stanley, M.; Sussman, M. R.; Taylor, A. R.; Vardi, A.; von Dassow, P.; Vyverman, W.; Willis, A.; Wyrwicz, L. S.; Rokhsar, D. S.; Weissenbach, J.; Armbrust, E. V.; Green, B. R.; Van de Peer, Y.; Grigoriev, I. V.

    2008-01-01

    Roč. 456, 13-11-2008 (2008), s. 239-244 ISSN 0028-0836 Institutional research plan: CEZ:AV0Z60220518 Keywords : Phaeodactylum * genome * evolution * diatom Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 31.434, year: 2008

  3. User needs in Tanzania's Academic Institutions | Nyerembe | African ...

    African Journals Online (AJOL)

    I give some practical steps in identify the needs of your client, the documentation and information service that you would provide to satisfy those needs will initiate action and bring about changes in clients, their outlook and in the organization as a whole The paper concludes that user surveys should inform the library's ...

  4. Figure 4 from Integrative Genomics Viewer: Visualizing Big Data | Office of Cancer Genomics

    Science.gov (United States)

    Gene-list view of genomic data. The gene-list view allows users to compare data across a set of loci. The data in this figure includes copy number, mutation, and clinical data from 202 glioblastoma samples from TCGA. Adapted from Figure 7; Thorvaldsdottir H et al. 2012

  5. NU-IN: Nucleotide evolution and input module for the EvolSimulator genome simulation platform

    Directory of Open Access Journals (Sweden)

    Barker Michael S

    2010-08-01

    Full Text Available Abstract Background There is increasing demand to test hypotheses that contrast the evolution of genes and gene families among genomes, using simulations that work across these levels of organization. The EvolSimulator program was developed recently to provide a highly flexible platform for forward simulations of amino acid evolution in multiple related lineages of haploid genomes, permitting copy number variation and lateral gene transfer. Synonymous nucleotide evolution is not currently supported, however, and would be highly advantageous for comparisons to full genome, transcriptome, and single nucleotide polymorphism (SNP datasets. In addition, EvolSimulator creates new genomes for each simulation, and does not allow the input of user-specified sequences and gene family information, limiting the incorporation of further biological realism and/or user manipulations of the data. Findings We present modified C++ source code for the EvolSimulator platform, which we provide as the extension module NU-IN. With NU-IN, synonymous and non-synonymous nucleotide evolution is fully implemented, and the user has the ability to use real or previously-simulated sequence data to initiate a simulation of one or more lineages. Gene family membership can be optionally specified, as well as gene retention probabilities that model biased gene retention. We provide PERL scripts to assist the user in deriving this information from previous simulations. We demonstrate the features of NU-IN by simulating genome duplication (polyploidy in the presence of ongoing copy number variation in an evolving lineage. This example is initiated with real genomic data, and produces output that we analyse directly with existing bioinformatic pipelines. Conclusions The NU-IN extension module is a publicly available open source software (GNU GPLv3 license extension to EvolSimulator. With the NU-IN module, users are now able to simulate both drift and selection at the nucleotide

  6. SIGMA: A System for Integrative Genomic Microarray Analysis of Cancer Genomes

    Directory of Open Access Journals (Sweden)

    Davies Jonathan J

    2006-12-01

    Full Text Available Abstract Background The prevalence of high resolution profiling of genomes has created a need for the integrative analysis of information generated from multiple methodologies and platforms. Although the majority of data in the public domain are gene expression profiles, and expression analysis software are available, the increase of array CGH studies has enabled integration of high throughput genomic and gene expression datasets. However, tools for direct mining and analysis of array CGH data are limited. Hence, there is a great need for analytical and display software tailored to cross platform integrative analysis of cancer genomes. Results We have created a user-friendly java application to facilitate sophisticated visualization and analysis such as cross-tumor and cross-platform comparisons. To demonstrate the utility of this software, we assembled array CGH data representing Affymetrix SNP chip, Stanford cDNA arrays and whole genome tiling path array platforms for cross comparison. This cancer genome database contains 267 profiles from commonly used cancer cell lines representing 14 different tissue types. Conclusion In this study we have developed an application for the visualization and analysis of data from high resolution array CGH platforms that can be adapted for analysis of multiple types of high throughput genomic datasets. Furthermore, we invite researchers using array CGH technology to deposit both their raw and processed data, as this will be a continually expanding database of cancer genomes. This publicly available resource, the System for Integrative Genomic Microarray Analysis (SIGMA of cancer genomes, can be accessed at http://sigma.bccrc.ca.

  7. BPhyOG: An interactive server for genome-wide inference of bacterial phylogenies based on overlapping genes

    Directory of Open Access Journals (Sweden)

    Lin Kui

    2007-07-01

    Full Text Available Abstract Background Overlapping genes (OGs in bacterial genomes are pairs of adjacent genes of which the coding sequences overlap partly or entirely. With the rapid accumulation of sequence data, many OGs in bacterial genomes have now been identified. Indeed, these might prove a consistent feature across all microbial genomes. Our previous work suggests that OGs can be considered as robust markers at the whole genome level for the construction of phylogenies. An online, interactive web server for inferring phylogenies is needed for biologists to analyze phylogenetic relationships among a set of bacterial genomes of interest. Description BPhyOG is an online interactive server for reconstructing the phylogenies of completely sequenced bacterial genomes on the basis of their shared overlapping genes. It provides two tree-reconstruction methods: Neighbor Joining (NJ and Unweighted Pair-Group Method using Arithmetic averages (UPGMA. Users can apply the desired method to generate phylogenetic trees, which are based on an evolutionary distance matrix for the selected genomes. The distance between two genomes is defined by the normalized number of their shared OG pairs. BPhyOG also allows users to browse the OGs that were used to infer the phylogenetic relationships. It provides detailed annotation for each OG pair and the features of the component genes through hyperlinks. Users can also retrieve each of the homologous OG pairs that have been determined among 177 genomes. It is a useful tool for analyzing the tree of life and overlapping genes from a genomic standpoint. Conclusion BPhyOG is a useful interactive web server for genome-wide inference of any potential evolutionary relationship among the genomes selected by users. It currently includes 177 completely sequenced bacterial genomes containing 79,855 OG pairs, the annotation and homologous OG pairs of which are integrated comprehensively. The reliability of phylogenies complemented by

  8. PLAZA 3.0: an access point for plant comparative genomics

    Science.gov (United States)

    Proost, Sebastian; Van Bel, Michiel; Vaneechoutte, Dries; Van de Peer, Yves; Inzé, Dirk; Mueller-Roeber, Bernd; Vandepoele, Klaas

    2015-01-01

    Comparative sequence analysis has significantly altered our view on the complexity of genome organization and gene functions in different kingdoms. PLAZA 3.0 is designed to make comparative genomics data for plants available through a user-friendly web interface. Structural and functional annotation, gene families, protein domains, phylogenetic trees and detailed information about genome organization can easily be queried and visualized. Compared with the first version released in 2009, which featured nine organisms, the number of integrated genomes is more than four times higher, and now covers 37 plant species. The new species provide a wider phylogenetic range as well as a more in-depth sampling of specific clades, and genomes of additional crop species are present. The functional annotation has been expanded and now comprises data from Gene Ontology, MapMan, UniProtKB/Swiss-Prot, PlnTFDB and PlantTFDB. Furthermore, we improved the algorithms to transfer functional annotation from well-characterized plant genomes to other species. The additional data and new features make PLAZA 3.0 (http://bioinformatics.psb.ugent.be/plaza/) a versatile and comprehensible resource for users wanting to explore genome information to study different aspects of plant biology, both in model and non-model organisms. PMID:25324309

  9. The Genomic Evolution of Prostate Cancer

    Science.gov (United States)

    2017-06-01

    the proposed project : 1. To continue to acquire a comprehensive understanding of prostate cancer genomics . 2. To develop an understanding of... Genetics I • ECEV 35901 Evolutionary Genomics • Fundamentals of Clinical Research • HGEN 47400 Introduction to Probability and Statistics for Geneticists...Marc Gillard,2 David M. Hatcher,5 Westin R. Tom,5 Walter M. Stadler2 and Kevin P. White1,2,3 1Institute for Genomics and Systems Biology , Departments of

  10. PGSB/MIPS Plant Genome Information Resources and Concepts for the Analysis of Complex Grass Genomes.

    Science.gov (United States)

    Spannagl, Manuel; Bader, Kai; Pfeifer, Matthias; Nussbaumer, Thomas; Mayer, Klaus F X

    2016-01-01

    PGSB (Plant Genome and Systems Biology; formerly MIPS-Munich Institute for Protein Sequences) has been involved in developing, implementing and maintaining plant genome databases for more than a decade. Genome databases and analysis resources have focused on individual genomes and aim to provide flexible and maintainable datasets for model plant genomes as a backbone against which experimental data, e.g., from high-throughput functional genomics, can be organized and analyzed. In addition, genomes from both model and crop plants form a scaffold for comparative genomics, assisted by specialized tools such as the CrowsNest viewer to explore conserved gene order (synteny) between related species on macro- and micro-levels.The genomes of many economically important Triticeae plants such as wheat, barley, and rye present a great challenge for sequence assembly and bioinformatic analysis due to their enormous complexity and large genome size. Novel concepts and strategies have been developed to deal with these difficulties and have been applied to the genomes of wheat, barley, rye, and other cereals. This includes the GenomeZipper concept, reference-guided exome assembly, and "chromosome genomics" based on flow cytometry sorted chromosomes.

  11. Figure 2 from Integrative Genomics Viewer: Visualizing Big Data | Office of Cancer Genomics

    Science.gov (United States)

    Grouping and sorting genomic data in IGV. The IGV user interface displaying 202 glioblastoma samples from TCGA. Samples are grouped by tumor subtype (second annotation column) and data type (first annotation column) and sorted by copy number of the EGFR locus (middle column). Adapted from Figure 1; Robinson et al. 2011

  12. The catfish genome database cBARBEL: an informatic platform for genome biology of ictalurid catfish.

    Science.gov (United States)

    Lu, Jianguo; Peatman, Eric; Yang, Qing; Wang, Shaolin; Hu, Zhiliang; Reecy, James; Kucuktas, Huseyin; Liu, Zhanjiang

    2011-01-01

    The catfish genome database, cBARBEL (abbreviated from catfish Breeder And Researcher Bioinformatics Entry Location) is an online open-access database for genome biology of ictalurid catfish (Ictalurus spp.). It serves as a comprehensive, integrative platform for all aspects of catfish genetics, genomics and related data resources. cBARBEL provides BLAST-based, fuzzy and specific search functions, visualization of catfish linkage, physical and integrated maps, a catfish EST contig viewer with SNP information overlay, and GBrowse-based organization of catfish genomic data based on sequence similarity with zebrafish chromosomes. Subsections of the database are tightly related, allowing a user with a sequence or search string of interest to navigate seamlessly from one area to another. As catfish genome sequencing proceeds and ongoing quantitative trait loci (QTL) projects bear fruit, cBARBEL will allow rapid data integration and dissemination within the catfish research community and to interested stakeholders. cBARBEL can be accessed at http://catfishgenome.org.

  13. Using Maximum Entropy to Find Patterns in Genomes

    Science.gov (United States)

    Liu, Sophia; Hockenberry, Adam; Lancichinetti, Andrea; Jewett, Michael; Amaral, Luis

    The existence of over- and under-represented sequence motifs in genomes provides evidence of selective evolutionary pressures on biological mechanisms such as transcription, translation, ligand-substrate binding, and host immunity. To accurately identify motifs and other genome-scale patterns of interest, it is essential to be able to generate accurate null models that are appropriate for the sequences under study. There are currently no tools available that allow users to create random coding sequences with specified amino acid composition and GC content. Using the principle of maximum entropy, we developed a method that generates unbiased random sequences with pre-specified amino acid and GC content. Our method is the simplest way to obtain maximally unbiased random sequences that are subject to GC usage and primary amino acid sequence constraints. This approach can also be easily be expanded to create unbiased random sequences that incorporate more complicated constraints such as individual nucleotide usage or even di-nucleotide frequencies. The ability to generate correctly specified null models will allow researchers to accurately identify sequence motifs which will lead to a better understanding of biological processes. National Institute of General Medical Science, Northwestern University Presidential Fellowship, National Science Foundation, David and Lucile Packard Foundation, Camille Dreyfus Teacher Scholar Award.

  14. Ginseng Genome Database: an open-access platform for genomics of Panax ginseng.

    Science.gov (United States)

    Jayakodi, Murukarthick; Choi, Beom-Soon; Lee, Sang-Choon; Kim, Nam-Hoon; Park, Jee Young; Jang, Woojong; Lakshmanan, Meiyappan; Mohan, Shobhana V G; Lee, Dong-Yup; Yang, Tae-Jin

    2018-04-12

    The ginseng (Panax ginseng C.A. Meyer) is a perennial herbaceous plant that has been used in traditional oriental medicine for thousands of years. Ginsenosides, which have significant pharmacological effects on human health, are the foremost bioactive constituents in this plant. Having realized the importance of this plant to humans, an integrated omics resource becomes indispensable to facilitate genomic research, molecular breeding and pharmacological study of this herb. The first draft genome sequences of P. ginseng cultivar "Chunpoong" were reported recently. Here, using the draft genome, transcriptome, and functional annotation datasets of P. ginseng, we have constructed the Ginseng Genome Database http://ginsengdb.snu.ac.kr /, the first open-access platform to provide comprehensive genomic resources of P. ginseng. The current version of this database provides the most up-to-date draft genome sequence (of approximately 3000 Mbp of scaffold sequences) along with the structural and functional annotations for 59,352 genes and digital expression of genes based on transcriptome data from different tissues, growth stages and treatments. In addition, tools for visualization and the genomic data from various analyses are provided. All data in the database were manually curated and integrated within a user-friendly query page. This database provides valuable resources for a range of research fields related to P. ginseng and other species belonging to the Apiales order as well as for plant research communities in general. Ginseng genome database can be accessed at http://ginsengdb.snu.ac.kr /.

  15. Epidemiology & Genomics Research Program

    Science.gov (United States)

    The Epidemiology and Genomics Research Program, in the National Cancer Institute's Division of Cancer Control and Population Sciences, funds research in human populations to understand the determinants of cancer occurrence and outcomes.

  16. Plantagora: modeling whole genome sequencing and assembly of plant genomes.

    Directory of Open Access Journals (Sweden)

    Roger Barthelson

    Full Text Available BACKGROUND: Genomics studies are being revolutionized by the next generation sequencing technologies, which have made whole genome sequencing much more accessible to the average researcher. Whole genome sequencing with the new technologies is a developing art that, despite the large volumes of data that can be produced, may still fail to provide a clear and thorough map of a genome. The Plantagora project was conceived to address specifically the gap between having the technical tools for genome sequencing and knowing precisely the best way to use them. METHODOLOGY/PRINCIPAL FINDINGS: For Plantagora, a platform was created for generating simulated reads from several different plant genomes of different sizes. The resulting read files mimicked either 454 or Illumina reads, with varying paired end spacing. Thousands of datasets of reads were created, most derived from our primary model genome, rice chromosome one. All reads were assembled with different software assemblers, including Newbler, Abyss, and SOAPdenovo, and the resulting assemblies were evaluated by an extensive battery of metrics chosen for these studies. The metrics included both statistics of the assembly sequences and fidelity-related measures derived by alignment of the assemblies to the original genome source for the reads. The results were presented in a website, which includes a data graphing tool, all created to help the user compare rapidly the feasibility and effectiveness of different sequencing and assembly strategies prior to testing an approach in the lab. Some of our own conclusions regarding the different strategies were also recorded on the website. CONCLUSIONS/SIGNIFICANCE: Plantagora provides a substantial body of information for comparing different approaches to sequencing a plant genome, and some conclusions regarding some of the specific approaches. Plantagora also provides a platform of metrics and tools for studying the process of sequencing and assembly

  17. GAPIT: genome association and prediction integrated tool.

    Science.gov (United States)

    Lipka, Alexander E; Tian, Feng; Wang, Qishan; Peiffer, Jason; Li, Meng; Bradbury, Peter J; Gore, Michael A; Buckler, Edward S; Zhang, Zhiwu

    2012-09-15

    Software programs that conduct genome-wide association studies and genomic prediction and selection need to use methodologies that maximize statistical power, provide high prediction accuracy and run in a computationally efficient manner. We developed an R package called Genome Association and Prediction Integrated Tool (GAPIT) that implements advanced statistical methods including the compressed mixed linear model (CMLM) and CMLM-based genomic prediction and selection. The GAPIT package can handle large datasets in excess of 10 000 individuals and 1 million single-nucleotide polymorphisms with minimal computational time, while providing user-friendly access and concise tables and graphs to interpret results. http://www.maizegenetics.net/GAPIT. zhiwu.zhang@cornell.edu Supplementary data are available at Bioinformatics online.

  18. RadGenomics project

    Energy Technology Data Exchange (ETDEWEB)

    Iwakawa, Mayumi; Imai, Takashi; Harada, Yoshinobu [National Inst. of Radiological Sciences, Chiba (Japan). Frontier Research Center] [and others

    2002-06-01

    Human health is determined by a complex interplay of factors, predominantly between genetic susceptibility, environmental conditions and aging. The ultimate aim of the RadGenomics (Radiation Genomics) project is to understand the implications of heterogeneity in responses to ionizing radiation arising from genetic variation between individuals in the human population. The rapid progression of the human genome sequencing and the recent development of new technologies in molecular genetics are providing us with new opportunities to understand the genetic basis of individual differences in susceptibility to natural and/or artificial environmental factors, including radiation exposure. The RadGenomics project will inevitably lead to improved protocols for personalized radiotherapy and reductions in the potential side effects of such treatment. The project will contribute to future research into the molecular mechanisms of radiation sensitivity in humans and will stimulate the development of new high-throughput technologies for a broader application of biological and medical sciences. The staff members are specialists in a variety of fields, including genome science, radiation biology, medical science, molecular biology, and informatics, and have joined the RadGenomics project from various universities, companies, and research institutes. The project started in April 2001. (author)

  19. RadGenomics project

    International Nuclear Information System (INIS)

    Iwakawa, Mayumi; Imai, Takashi; Harada, Yoshinobu

    2002-01-01

    Human health is determined by a complex interplay of factors, predominantly between genetic susceptibility, environmental conditions and aging. The ultimate aim of the RadGenomics (Radiation Genomics) project is to understand the implications of heterogeneity in responses to ionizing radiation arising from genetic variation between individuals in the human population. The rapid progression of the human genome sequencing and the recent development of new technologies in molecular genetics are providing us with new opportunities to understand the genetic basis of individual differences in susceptibility to natural and/or artificial environmental factors, including radiation exposure. The RadGenomics project will inevitably lead to improved protocols for personalized radiotherapy and reductions in the potential side effects of such treatment. The project will contribute to future research into the molecular mechanisms of radiation sensitivity in humans and will stimulate the development of new high-throughput technologies for a broader application of biological and medical sciences. The staff members are specialists in a variety of fields, including genome science, radiation biology, medical science, molecular biology, and informatics, and have joined the RadGenomics project from various universities, companies, and research institutes. The project started in April 2001. (author)

  20. Installed Base as a Facilitator for User-Driven Innovation: How Can User Innovation Challenge Existing Institutional Barriers?

    Directory of Open Access Journals (Sweden)

    Synnøve Thomassen Andersen

    2012-01-01

    Full Text Available The paper addresses an ICT-based, user-driven innovation process in the health sector in rural areas in Norway. The empirical base is the introduction of a new model for psychiatric health provision. This model is supported by a technical solution based on mobile phones that is aimed to help the communication between professional health personnel and patients. This innovation was made possible through the use of standard mobile technology rather than more sophisticated systems. The users were heavily involved in the development work. Our analysis shows that by thinking simple and small-scale solutions, including to take the user’s needs and premises as a point of departure rather than focusing on advanced technology, the implementation process was made possible. We show that by combining theory on information infrastructures, user-oriented system development, and innovation in a three-layered analytical framework, we can explain the interrelationship between technical, organizational, and health professional factors that made this innovation a success.

  1. CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline.

    Science.gov (United States)

    Agrawal, Sonia; Arze, Cesar; Adkins, Ricky S; Crabtree, Jonathan; Riley, David; Vangala, Mahesh; Galens, Kevin; Fraser, Claire M; Tettelin, Hervé; White, Owen; Angiuoli, Samuel V; Mahurkar, Anup; Fricke, W Florian

    2017-04-27

    The benefit of increasing genomic sequence data to the scientific community depends on easy-to-use, scalable bioinformatics support. CloVR-Comparative combines commonly used bioinformatics tools into an intuitive, automated, and cloud-enabled analysis pipeline for comparative microbial genomics. CloVR-Comparative runs on annotated complete or draft genome sequences that are uploaded by the user or selected via a taxonomic tree-based user interface and downloaded from NCBI. CloVR-Comparative runs reference-free multiple whole-genome alignments to determine unique, shared and core coding sequences (CDSs) and single nucleotide polymorphisms (SNPs). Output includes short summary reports and detailed text-based results files, graphical visualizations (phylogenetic trees, circular figures), and a database file linked to the Sybil comparative genome browser. Data up- and download, pipeline configuration and monitoring, and access to Sybil are managed through CloVR-Comparative web interface. CloVR-Comparative and Sybil are distributed as part of the CloVR virtual appliance, which runs on local computers or the Amazon EC2 cloud. Representative datasets (e.g. 40 draft and complete Escherichia coli genomes) are processed in genomics projects, while eliminating the need for on-site computational resources and expertise.

  2. BGD: a database of bat genomes.

    Science.gov (United States)

    Fang, Jianfei; Wang, Xuan; Mu, Shuo; Zhang, Shuyi; Dong, Dong

    2015-01-01

    Bats account for ~20% of mammalian species, and are the only mammals with true powered flight. For the sake of their specialized phenotypic traits, many researches have been devoted to examine the evolution of bats. Until now, some whole genome sequences of bats have been assembled and annotated, however, a uniform resource for the annotated bat genomes is still unavailable. To make the extensive data associated with the bat genomes accessible to the general biological communities, we established a Bat Genome Database (BGD). BGD is an open-access, web-available portal that integrates available data of bat genomes and genes. It hosts data from six bat species, including two megabats and four microbats. Users can query the gene annotations using efficient searching engine, and it offers browsable tracks of bat genomes. Furthermore, an easy-to-use phylogenetic analysis tool was also provided to facilitate online phylogeny study of genes. To the best of our knowledge, BGD is the first database of bat genomes. It will extend our understanding of the bat evolution and be advantageous to the bat sequences analysis. BGD is freely available at: http://donglab.ecnu.edu.cn/databases/BatGenome/.

  3. BGD: a database of bat genomes.

    Directory of Open Access Journals (Sweden)

    Jianfei Fang

    Full Text Available Bats account for ~20% of mammalian species, and are the only mammals with true powered flight. For the sake of their specialized phenotypic traits, many researches have been devoted to examine the evolution of bats. Until now, some whole genome sequences of bats have been assembled and annotated, however, a uniform resource for the annotated bat genomes is still unavailable. To make the extensive data associated with the bat genomes accessible to the general biological communities, we established a Bat Genome Database (BGD. BGD is an open-access, web-available portal that integrates available data of bat genomes and genes. It hosts data from six bat species, including two megabats and four microbats. Users can query the gene annotations using efficient searching engine, and it offers browsable tracks of bat genomes. Furthermore, an easy-to-use phylogenetic analysis tool was also provided to facilitate online phylogeny study of genes. To the best of our knowledge, BGD is the first database of bat genomes. It will extend our understanding of the bat evolution and be advantageous to the bat sequences analysis. BGD is freely available at: http://donglab.ecnu.edu.cn/databases/BatGenome/.

  4. GapBlaster-A Graphical Gap Filler for Prokaryote Genomes.

    Directory of Open Access Journals (Sweden)

    Pablo H C G de Sá

    Full Text Available The advent of NGS (Next Generation Sequencing technologies has resulted in an exponential increase in the number of complete genomes available in biological databases. This advance has allowed the development of several computational tools enabling analyses of large amounts of data in each of the various steps, from processing and quality filtering to gap filling and manual curation. The tools developed for gap closure are very useful as they result in more complete genomes, which will influence downstream analyses of genomic plasticity and comparative genomics. However, the gap filling step remains a challenge for genome assembly, often requiring manual intervention. Here, we present GapBlaster, a graphical application to evaluate and close gaps. GapBlaster was developed via Java programming language. The software uses contigs obtained in the assembly of the genome to perform an alignment against a draft of the genome/scaffold, using BLAST or Mummer to close gaps. Then, all identified alignments of contigs that extend through the gaps in the draft sequence are presented to the user for further evaluation via the GapBlaster graphical interface. GapBlaster presents significant results compared to other similar software and has the advantage of offering a graphical interface for manual curation of the gaps. GapBlaster program, the user guide and the test datasets are freely available at https://sourceforge.net/projects/gapblaster2015/. It requires Sun JDK 8 and Blast or Mummer.

  5. PLAZA 3.0: an access point for plant comparative genomics.

    Science.gov (United States)

    Proost, Sebastian; Van Bel, Michiel; Vaneechoutte, Dries; Van de Peer, Yves; Inzé, Dirk; Mueller-Roeber, Bernd; Vandepoele, Klaas

    2015-01-01

    Comparative sequence analysis has significantly altered our view on the complexity of genome organization and gene functions in different kingdoms. PLAZA 3.0 is designed to make comparative genomics data for plants available through a user-friendly web interface. Structural and functional annotation, gene families, protein domains, phylogenetic trees and detailed information about genome organization can easily be queried and visualized. Compared with the first version released in 2009, which featured nine organisms, the number of integrated genomes is more than four times higher, and now covers 37 plant species. The new species provide a wider phylogenetic range as well as a more in-depth sampling of specific clades, and genomes of additional crop species are present. The functional annotation has been expanded and now comprises data from Gene Ontology, MapMan, UniProtKB/Swiss-Prot, PlnTFDB and PlantTFDB. Furthermore, we improved the algorithms to transfer functional annotation from well-characterized plant genomes to other species. The additional data and new features make PLAZA 3.0 (http://bioinformatics.psb.ugent.be/plaza/) a versatile and comprehensible resource for users wanting to explore genome information to study different aspects of plant biology, both in model and non-model organisms. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

  6. The Princeton Protein Orthology Database (P-POD): a comparative genomics analysis tool for biologists.

    OpenAIRE

    Sven Heinicke; Michael S Livstone; Charles Lu; Rose Oughtred; Fan Kang; Samuel V Angiuoli; Owen White; David Botstein; Kara Dolinski

    2007-01-01

    Many biological databases that provide comparative genomics information and tools are now available on the internet. While certainly quite useful, to our knowledge none of the existing databases combine results from multiple comparative genomics methods with manually curated information from the literature. Here we describe the Princeton Protein Orthology Database (P-POD, http://ortholog.princeton.edu), a user-friendly database system that allows users to find and visualize the phylogenetic r...

  7. Bluejay 1.0: genome browsing and comparison with rich customization provision and dynamic resource linking

    Directory of Open Access Journals (Sweden)

    Turinsky Andrei L

    2008-10-01

    Full Text Available Abstract Background The Bluejay genome browser has been developed over several years to address the challenges posed by the ever increasing number of data types as well as the increasing volume of data in genome research. Beginning with a browser capable of rendering views of XML-based genomic information and providing scalable vector graphics output, we have now completed version 1.0 of the system with many additional features. Our development efforts were guided by our observation that biologists who use both gene expression profiling and comparative genomics gain functional insights above and beyond those provided by traditional per-gene analyses. Results Bluejay 1.0 is a genome viewer integrating genome annotation with: (i gene expression information; and (ii comparative analysis with an unlimited number of other genomes in the same view. This allows the biologist to see a gene not just in the context of its genome, but also its regulation and its evolution. Bluejay now has rich provision for personalization by users: (i numerous display customization features; (ii the availability of waypoints for marking multiple points of interest on a genome and subsequently utilizing them; and (iii the ability to take user relevance feedback of annotated genes or textual items to offer personalized recommendations. Bluejay 1.0 also embeds the Seahawk browser for the Moby protocol, enabling users to seamlessly invoke hundreds of Web Services on genomic data of interest without any hard-coding. Conclusion Bluejay offers a unique set of customizable genome-browsing features, with the goal of allowing biologists to quickly focus on, analyze, compare, and retrieve related information on the parts of the genomic data they are most interested in. We expect these capabilities of Bluejay to benefit the many biologists who want to answer complex questions using the information available from completely sequenced genomes.

  8. Google Scholar Users and User Behaviors: An Exploratory Study

    Science.gov (United States)

    Herrera, Gail

    2011-01-01

    The University of Mississippi Library created a profile to provide linking from Google Scholar (GS) to library resources in 2005. Although Google Scholar does not provide usage statistics for institutions, use of Google Scholar is clearly evident in looking at library link resolver logs. The purpose of this project is to examine users of Google…

  9. Genomics Encyclopedia of Bacteria and Archaea-Root Nodule Bacteria (GEBA-RNB): a resource for microsymbiont genomes (2013 DOE JGI Genomics of Energy and Environment 8th Annual User Meeting)

    Energy Technology Data Exchange (ETDEWEB)

    Reeve, Wayne [Murdoch University

    2013-03-01

    Wayne Reeve of Murdoch University on "Genomics Encyclopedia of Bacteria and Archaea-Root Nodule Bacteria (GEBA-RNB): a resource for microsymbiont genomes" at the 8th Annual Genomics of Energy & Environment Meeting on March 27, 2013 in Walnut Creek, Calif.

  10. Oncogenomic portals for the visualization and analysis of genome-wide cancer data.

    Science.gov (United States)

    Klonowska, Katarzyna; Czubak, Karol; Wojciechowska, Marzena; Handschuh, Luiza; Zmienko, Agnieszka; Figlerowicz, Marek; Dams-Kozlowska, Hanna; Kozlowski, Piotr

    2016-01-05

    Somatically acquired genomic alterations that drive oncogenic cellular processes are of great scientific and clinical interest. Since the initiation of large-scale cancer genomic projects (e.g., the Cancer Genome Project, The Cancer Genome Atlas, and the International Cancer Genome Consortium cancer genome projects), a number of web-based portals have been created to facilitate access to multidimensional oncogenomic data and assist with the interpretation of the data. The portals provide the visualization of small-size mutations, copy number variations, methylation, and gene/protein expression data that can be correlated with the available clinical, epidemiological, and molecular features. Additionally, the portals enable to analyze the gathered data with the use of various user-friendly statistical tools. Herein, we present a highly illustrated review of seven portals, i.e., Tumorscape, UCSC Cancer Genomics Browser, ICGC Data Portal, COSMIC, cBioPortal, IntOGen, and BioProfiling.de. All of the selected portals are user-friendly and can be exploited by scientists from different cancer-associated fields, including those without bioinformatics background. It is expected that the use of the portals will contribute to a better understanding of cancer molecular etiology and will ultimately accelerate the translation of genomic knowledge into clinical practice.

  11. Lightweight genome viewer: portable software for browsing genomics data in its chromosomal context.

    Science.gov (United States)

    Faith, Jeremiah J; Olson, Andrew J; Gardner, Timothy S; Sachidanandam, Ravi

    2007-09-18

    Lightweight genome viewer (lwgv) is a web-based tool for visualization of sequence annotations in their chromosomal context. It performs most of the functions of larger genome browsers, while relying on standard flat-file formats and bypassing the database needs of most visualization tools. Visualization as an aide to discovery requires display of novel data in conjunction with static annotations in their chromosomal context. With database-based systems, displaying dynamic results requires temporary tables that need to be tracked for removal. lwgv simplifies the visualization of user-generated results on a local computer. The dynamic results of these analyses are written to transient files, which can import static content from a more permanent file. lwgv is currently used in many different applications, from whole genome browsers to single-gene RNAi design visualization, demonstrating its applicability in a large variety of contexts and scales. lwgv provides a lightweight alternative to large genome browsers for visualizing biological annotations and dynamic analyses in their chromosomal context. It is particularly suited for applications ranging from short sequences to medium-sized genomes when the creation and maintenance of a large software and database infrastructure is not necessary or desired.

  12. Directory of computer users in nuclear medicine

    International Nuclear Information System (INIS)

    Henne, R.L.; Erickson, J.J.; McClain, W.J.; Kirch, D.L.

    1977-01-01

    The directory is composed of two major divisions, a Users' section and a Vendors' section. The Users' section consists of detailed installation descriptions and indexes to these descriptions. A typical description contains the name, address, type, and size of the institution as well as names of persons to contact. Following the hardware descriptions are listed the type of studies for which the computers are utilized, including the languages used, the method of output and an estimate of how often the study is performed. The Vendors' section contains short descriptions of current commercially available nuclear medicine systems as supplied by the vendors themselves. In order to reduce the amount of obsolete data and to include new institutions in future updates of the directory, a user questionnaire is included

  13. Tools for the Validation of Genomes and Transcriptomes with Proteomics data

    DEFF Research Database (Denmark)

    Pang, Chi Nam Ignatius; Aya, Carlos; Tay, Aidan

    data generated from protein mass spectrometry. We are developing a set of tools which allow users to: •Co-visualise genomics, transcriptomics, and proteomics data using the Integrated Genomics Viewer (IGV).1 •Validate the existence of genes and mRNAs using peptides identified from mass spectrometry...

  14. Home and Away: The Use of Institutional and Non-Institutional Technologies to Support Learning and Teaching

    Science.gov (United States)

    Flavin, Michael

    2016-01-01

    This paper examines the usage of institutional and non-institutional technologies to support learning and teaching in UK higher education. Previous work on disruptive technology and disruptive innovation has argued that users prefer simple and convenient technologies, and often repurpose technologies from designers' intentions; this paper…

  15. DFAST: a flexible prokaryotic genome annotation pipeline for faster genome publication.

    Science.gov (United States)

    Tanizawa, Yasuhiro; Fujisawa, Takatomo; Nakamura, Yasukazu

    2018-03-15

    We developed a prokaryotic genome annotation pipeline, DFAST, that also supports genome submission to public sequence databases. DFAST was originally started as an on-line annotation server, and to date, over 7000 jobs have been processed since its first launch in 2016. Here, we present a newly implemented background annotation engine for DFAST, which is also available as a standalone command-line program. The new engine can annotate a typical-sized bacterial genome within 10 min, with rich information such as pseudogenes, translation exceptions and orthologous gene assignment between given reference genomes. In addition, the modular framework of DFAST allows users to customize the annotation workflow easily and will also facilitate extensions for new functions and incorporation of new tools in the future. The software is implemented in Python 3 and runs in both Python 2.7 and 3.4-on Macintosh and Linux systems. It is freely available at https://github.com/nigyta/dfast_core/under the GPLv3 license with external binaries bundled in the software distribution. An on-line version is also available at https://dfast.nig.ac.jp/. yn@nig.ac.jp. Supplementary data are available at Bioinformatics online.

  16. VISTA - computational tools for comparative genomics

    Energy Technology Data Exchange (ETDEWEB)

    Frazer, Kelly A.; Pachter, Lior; Poliakov, Alexander; Rubin,Edward M.; Dubchak, Inna

    2004-01-01

    Comparison of DNA sequences from different species is a fundamental method for identifying functional elements in genomes. Here we describe the VISTA family of tools created to assist biologists in carrying out this task. Our first VISTA server at http://www-gsd.lbl.gov/VISTA/ was launched in the summer of 2000 and was designed to align long genomic sequences and visualize these alignments with associated functional annotations. Currently the VISTA site includes multiple comparative genomics tools and provides users with rich capabilities to browse pre-computed whole-genome alignments of large vertebrate genomes and other groups of organisms with VISTA Browser, submit their own sequences of interest to several VISTA servers for various types of comparative analysis, and obtain detailed comparative analysis results for a set of cardiovascular genes. We illustrate capabilities of the VISTA site by the analysis of a 180 kilobase (kb) interval on human chromosome 5 that encodes for the kinesin family member3A (KIF3A) protein.

  17. Efficient Server-Aided Secure Two-Party Function Evaluation with Applications to Genomic Computation

    Directory of Open Access Journals (Sweden)

    Blanton Marina

    2016-10-01

    Full Text Available Computation based on genomic data is becoming increasingly popular today, be it for medical or other purposes. Non-medical uses of genomic data in a computation often take place in a server-mediated setting where the server offers the ability for joint genomic testing between the users. Undeniably, genomic data is highly sensitive, which in contrast to other biometry types, discloses a plethora of information not only about the data owner, but also about his or her relatives. Thus, there is an urgent need to protect genomic data. This is particularly true when the data is used in computation for what we call recreational non-health-related purposes. Towards this goal, in this work we put forward a framework for server-aided secure two-party computation with the security model motivated by genomic applications. One particular security setting that we treat in this work provides stronger security guarantees with respect to malicious users than the traditional malicious model. In particular, we incorporate certified inputs into secure computation based on garbled circuit evaluation to guarantee that a malicious user is unable to modify her inputs in order to learn unauthorized information about the other user’s data. Our solutions are general in the sense that they can be used to securely evaluate arbitrary functions and offer attractive performance compared to the state of the art. We apply the general constructions to three specific types of genomic tests: paternity, genetic compatibility, and ancestry testing and implement the constructions. The results show that all such private tests can be executed within a matter of seconds or less despite the large size of one’s genomic data.

  18. Cambridge Healthtech Institute's 5th Annual Conference: impact of genomics on medicine.

    Science.gov (United States)

    Zanders, E D

    2001-08-01

    The recent publications in Nature and Science by the Human Genome Consortium and Celera Genomics, respectively, while being landmark achievements in themselves, have also given pause for thought. A definitive catalogue of human genes is still not available but the broad picture of how humans compare with lower organisms at the genomic level is becoming clearer. The full impact of these findings on the practice of medicine is hard to predict, but research being conducted now, in the early years of the 21st century, will form the basis of future advances in the diagnosis and treatment of disease. Exactly what this will entail is the subject of intense debate, but there are some common starting points that were discussed at this meeting in Munich. The main theme to emerge was the need to move beyond the human genome sequence towards an understanding of proteins and their interactions in complex biological pathways, thereby increasing opportunities for drug discovery through the identification of new targets. The majority of the talks were therefore devoted to the description of technological advances in the analysis of gene and protein expression (and interaction) and in the use of various methods of gene deletion in order to validate individual proteins as drug targets. Perhaps it will still be a few years before it will be possible to report on the application of genomic analyses to routine medical practice at the first point of care for patients but when that happens, the research efforts described here will have been worthwhile.

  19. Capturing prokaryotic dark matter genomes.

    Science.gov (United States)

    Gasc, Cyrielle; Ribière, Céline; Parisot, Nicolas; Beugnot, Réjane; Defois, Clémence; Petit-Biderre, Corinne; Boucher, Delphine; Peyretaillade, Eric; Peyret, Pierre

    2015-12-01

    Prokaryotes are the most diverse and abundant cellular life forms on Earth. Most of them, identified by indirect molecular approaches, belong to microbial dark matter. The advent of metagenomic and single-cell genomic approaches has highlighted the metabolic capabilities of numerous members of this dark matter through genome reconstruction. Thus, linking functions back to the species has revolutionized our understanding of how ecosystem function is sustained by the microbial world. This review will present discoveries acquired through the illumination of prokaryotic dark matter genomes by these innovative approaches. Copyright © 2015 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.

  20. Genome Improvement at JGI-HAGSC

    Energy Technology Data Exchange (ETDEWEB)

    Grimwood, Jane; Schmutz, Jeremy J.; Myers, Richard M.

    2012-03-03

    Since the completion of the sequencing of the human genome, the Joint Genome Institute (JGI) has rapidly expanded its scientific goals in several DOE mission-relevant areas. At the JGI-HAGSC, we have kept pace with this rapid expansion of projects with our focus on assessing, assembling, improving and finishing eukaryotic whole genome shotgun (WGS) projects for which the shotgun sequence is generated at the Production Genomic Facility (JGI-PGF). We follow this by combining the draft WGS with genomic resources generated at JGI-HAGSC or in collaborator laboratories (including BAC end sequences, genetic maps and FLcDNA sequences) to produce an improved draft sequence. For eukaryotic genomes important to the DOE mission, we then add further information from directed experiments to produce reference genomic sequences that are publicly available for any scientific researcher. Also, we have continued our program for producing BAC-based finished sequence, both for adding information to JGI genome projects and for small BAC-based sequencing projects proposed through any of the JGI sequencing programs. We have now built our computational expertise in WGS assembly and analysis and have moved eukaryotic genome assembly from the JGI-PGF to JGI-HAGSC. We have concentrated our assembly development work on large plant genomes and complex fungal and algal genomes.

  1. DivStat: a user-friendly tool for single nucleotide polymorphism analysis of genomic diversity.

    Directory of Open Access Journals (Sweden)

    Inês Soares

    Full Text Available Recent developments have led to an enormous increase of publicly available large genomic data, including complete genomes. The 1000 Genomes Project was a major contributor, releasing the results of sequencing a large number of individual genomes, and allowing for a myriad of large scale studies on human genetic variation. However, the tools currently available are insufficient when the goal concerns some analyses of data sets encompassing more than hundreds of base pairs and when considering haplotype sequences of single nucleotide polymorphisms (SNPs. Here, we present a new and potent tool to deal with large data sets allowing the computation of a variety of summary statistics of population genetic data, increasing the speed of data analysis.

  2. PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes

    Directory of Open Access Journals (Sweden)

    Wasnick Michael

    2008-03-01

    Full Text Available Abstract Background The conservation of gene order among prokaryotic genomes can provide valuable insight into gene function, protein interactions, or events by which genomes have evolved. Although some tools are available for visualizing and comparing the order of genes between genomes of study, few support an efficient and organized analysis between large numbers of genomes. The Prokaryotic Sequence homology Analysis Tool (PSAT is a web tool for comparing gene neighborhoods among multiple prokaryotic genomes. Results PSAT utilizes a database that is preloaded with gene annotation, BLAST hit results, and gene-clustering scores designed to help identify regions of conserved gene order. Researchers use the PSAT web interface to find a gene of interest in a reference genome and efficiently retrieve the sequence homologs found in other bacterial genomes. The tool generates a graphic of the genomic neighborhood surrounding the selected gene and the corresponding regions for its homologs in each comparison genome. Homologs in each region are color coded to assist users with analyzing gene order among various genomes. In contrast to common comparative analysis methods that filter sequence homolog data based on alignment score cutoffs, PSAT leverages gene context information for homologs, including those with weak alignment scores, enabling a more sensitive analysis. Features for constraining or ordering results are designed to help researchers browse results from large numbers of comparison genomes in an organized manner. PSAT has been demonstrated to be useful for helping to identify gene orthologs and potential functional gene clusters, and detecting genome modifications that may result in loss of function. Conclusion PSAT allows researchers to investigate the order of genes within local genomic neighborhoods of multiple genomes. A PSAT web server for public use is available for performing analyses on a growing set of reference genomes through any

  3. High participation rate among 25 721 patients with broad age range in a hospital-based research project involving whole-genome sequencing - the Lausanne Institutional Biobank.

    Science.gov (United States)

    Bochud, Murielle; Currat, Christine; Chapatte, Laurence; Roth, Cindy; Mooser, Vincent

    2017-10-24

    We aimed to evaluate the interest of adult inpatients and selected outpatients in engaging in a large, real-life, hospital-based, genomic medicine research project and in receiving clinically actionable incidental findings. Within the framework of the cross-sectional Institutional Biobank of Lausanne, Switzerland, a total of 25721 patients of the CHUV University Hospital were systematically invited to grant researchers access to their biomedical data and to donate blood for future analyses, including whole-genome sequencing. Multivariable logistic regression analysis was used to identify personal factors, including age, gender, religion, ethnicity, citizenship, education level and mode of admission, associated with willingness to participate in this genomic research project and with interest in receiving clinically actionable incidental findings. The overall participation rate was 79% (20343/25721). Participation rate declined progressively with age, averaging 83%, 75%, 67% and 62% in patients aged rate, but not with higher willingness to receive incidental findings within the population who had agreed to participate. A large proportion of adult patients, even among the elderly, are willing to actively participate and receive incidental findings in this systematic hospital-based precision and genomic medicine research program with broad consent.

  4. Enhancer Identification through Comparative Genomics

    Energy Technology Data Exchange (ETDEWEB)

    Visel, Axel; Bristow, James; Pennacchio, Len A.

    2006-10-01

    With the availability of genomic sequence from numerousvertebrates, a paradigm shift has occurred in the identification ofdistant-acting gene regulatory elements. In contrast to traditionalgene-centric studies in which investigators randomly scanned genomicfragments that flank genes of interest in functional assays, the modernapproach begins electronically with publicly available comparativesequence datasets that provide investigators with prioritized lists ofputative functional sequences based on their evolutionary conservation.However, although a large number of tools and resources are nowavailable, application of comparative genomic approaches remains far fromtrivial. In particular, it requires users to dynamically consider thespecies and methods for comparison depending on the specific biologicalquestion under investigation. While there is currently no single generalrule to this end, it is clear that when applied appropriately,comparative genomic approaches exponentially increase our power ingenerating biological hypotheses for subsequent experimentaltesting.

  5. A framework for annotating human genome in disease context.

    Science.gov (United States)

    Xu, Wei; Wang, Huisong; Cheng, Wenqing; Fu, Dong; Xia, Tian; Kibbe, Warren A; Lin, Simon M

    2012-01-01

    Identification of gene-disease association is crucial to understanding disease mechanism. A rapid increase in biomedical literatures, led by advances of genome-scale technologies, poses challenge for manually-curated-based annotation databases to characterize gene-disease associations effectively and timely. We propose an automatic method-The Disease Ontology Annotation Framework (DOAF) to provide a comprehensive annotation of the human genome using the computable Disease Ontology (DO), the NCBO Annotator service and NCBI Gene Reference Into Function (GeneRIF). DOAF can keep the resulting knowledgebase current by periodically executing automatic pipeline to re-annotate the human genome using the latest DO and GeneRIF releases at any frequency such as daily or monthly. Further, DOAF provides a computable and programmable environment which enables large-scale and integrative analysis by working with external analytic software or online service platforms. A user-friendly web interface (doa.nubic.northwestern.edu) is implemented to allow users to efficiently query, download, and view disease annotations and the underlying evidences.

  6. A Distributed User Information System

    Science.gov (United States)

    1990-03-01

    NOE08 Department of Computer Science NOVO 8 1990 University of Maryland S College Park, MD 20742 D Abstract Current user information database technology ...Transactions on Computer Systems, May 1988. [So189] K. Sollins. A plan for internet directory services. Technical report, DDN Network Information Center...2424 A Distributed User Information System DTiC Steven D. Miller, Scott Carson, and Leo Mark DELECTE Institute for Advanced Computer Studies and

  7. HANARO user support and training

    International Nuclear Information System (INIS)

    Shin, Eun Joo; Kim, K. Y.; Kim, B. K.

    2009-06-01

    This project is aimed to support external users for the effective use of HANARO. The total number of projects selected as the beneficiary of the supporting program by MEST was 21 including this project in this year. We supported 1,850 hr measurements for the 24 requests of the 16 projects selected on the field of neutron beam utilization. In the field of materials and nuclear fuel irradiation test the 2 projects were selected and supported for 108 samples. In the fields of neutron activation analysis and radioisotope production the number of selected and supported projects was 1 respectively. In order to broaden potential user base, maximize instrument utilization, and enhance cooperation with industries, universities and institutes, practice-oriented HANARO user training courses were held for neutron beam utilization and materials and nuclear fuel irradiation fields. The online neutron beam time allocation system was developed and applied successfully for the HRPD in this year. We are planing to apply this system to other neutron beam instruments in the near future. This project is a kind of the user-based supporting program for the maximize of HANARO utilization. The development products and the ideas and suggestions of users obtained through this projects will be collected and applied to the development of next new facilities. Also, by using the 'HANARO utilization and research information management system(HANARO4U)' we construct the research network among users at industries, universities and institutes. This network is expected to increase HANARO utilization and enhance productivity of the facilities

  8. Directory of computer users in nuclear medicine

    Energy Technology Data Exchange (ETDEWEB)

    Henne, R.L.; Erickson, J.J.; McClain, W.J.; Kirch, D.L.

    1977-01-01

    The directory is composed of two major divisions, a Users' section and a Vendors' section. The Users' section consists of detailed installation descriptions and indexes to these descriptions. A typical description contains the name, address, type, and size of the institution as well as names of persons to contact. Following the hardware descriptions are listed the type of studies for which the computers are utilized, including the languages used, the method of output and an estimate of how often the study is performed. The Vendors' section contains short descriptions of current commercially available nuclear medicine systems as supplied by the vendors themselves. In order to reduce the amount of obsolete data and to include new institutions in future updates of the directory, a user questionnaire is included. (HLW)

  9. User Support of Electron Irradiation Facility

    International Nuclear Information System (INIS)

    Park, S. H.; Cha, H. K.; Lee, B. C.

    2007-06-01

    The KAERI (Korean Atomic Energy Research Institute) high-power electron beam irradiation facility, operating at the energies between 0.3 MeV and 10 MeV,has provided irradiation services to users in industries, universities, and institutes via 'Project of utilization and cooperation of users of a large research facility' since 2004. A great attraction of many researchers, almost 750 persons so far according to surveys, to e-beam irradiation technology as well as the growth of participants on Workshop on Electron Beam Applications from 121 to 176 indicate the increase of demands of irradiation service. Comparing to the cases of advanced nations in this area, such as America, Japan, China, and Russia, Korea is relatively much behind in radiation technology. It is mainly due to the lack of governmental supports and investments. Active support and investment on construction and operation of electron beam user facilities would be principal factors on developments of advanced technologies. In this project, we would like to satisfy users' requests by developing the effective managing and operating system for prompt services, processes, and QA and to ultimately assist users to create additional new results, by maximizing the utilization of all available resources and activating the developments of technologies of electron beam processing

  10. Next generation tools for genomic data generation, distribution, and visualization.

    Science.gov (United States)

    Nix, David A; Di Sera, Tonya L; Dalley, Brian K; Milash, Brett A; Cundick, Robert M; Quinn, Kevin S; Courdy, Samir J

    2010-09-09

    With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the laboratory and clinic is shifting to one of effectively managing, analyzing, and sharing genomic data. Here we present three open-source, platform independent, software tools for generating, analyzing, distributing, and visualizing genomic data. These include a next generation sequencing/microarray LIMS and analysis project center (GNomEx); an application for annotating and programmatically distributing genomic data using the community vetted DAS/2 data exchange protocol (GenoPub); and a standalone Java Swing application (GWrap) that makes cutting edge command line analysis tools available to those who prefer graphical user interfaces. Both GNomEx and GenoPub use the rich client Flex/Flash web browser interface to interact with Java classes and a relational database on a remote server. Both employ a public-private user-group security model enabling controlled distribution of patient and unpublished data alongside public resources. As such, they function as genomic data repositories that can be accessed manually or programmatically through DAS/2-enabled client applications such as the Integrated Genome Browser. These tools have gained wide use in our core facilities, research laboratories and clinics and are freely available for non-profit use. See http://sourceforge.net/projects/gnomex/, http://sourceforge.net/projects/genoviz/, and http://sourceforge.net/projects/useq.

  11. User Involvement in In-house Developed Software : Case Study of a Nigerian Financial Institution

    OpenAIRE

    Owoseni, Adebowale; Imhanyehor, Germaine

    2011-01-01

    Over the years, researchers have argued that user friendly and result oriented systems were not necessarily products of participatory user involvement; however there is a degree of user involvement required in the development process of any Information System. The aim of this research is to discover the level of user involvement in in-house software development process in All Nigerian Bank (ANB). We use two research methods - survey and process observation. A survey was conducted for 107 end ...

  12. User Impact on Selection, Digitization, and the Development of Digital Special Collections

    Science.gov (United States)

    Mills, Alexandra

    2015-01-01

    Libraries and archives digitize their special collections in an effort to increase access to rare and unique items. To ensure that resulting digital collections meet user needs, institutions have made assessment, consultation, and user participation integral to digitization initiatives and the selection process. Institutions must also build…

  13. Comparative Genome Analysis Reveals Divergent Genome Size Evolution in a Carnivorous Plant Genus

    Czech Academy of Sciences Publication Activity Database

    Vu, G.T.H.; Schmutzer, T.; Bull, F.; Cao, H.X.; Fuchs, J.; Tran, T.D.; Jovtchev, G.; Pistrick, K.; Stein, N.; Pečinka, A.; Neumann, Pavel; Novák, Petr; Macas, Jiří; Dear, P.H.; Blattner, F.R.; Scholz, U.; Schubert, I.

    2015-01-01

    Roč. 8, č. 3 (2015) ISSN 1940-3372 R&D Projects: GA ČR GBP501/12/G090 Institutional support: RVO:60077344 Keywords : Genlisea * genome * repetitive sequences Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 3.509, year: 2015

  14. Cooperative institutions for sustainable common pool resource management: Application to groundwater

    Science.gov (United States)

    Madani, Kaveh; Dinar, Ariel

    2012-09-01

    Beneficiaries of common pool resources (CPRs) may select available noncooperative and regulatory exogenous institutions for managing the resource, as well as cooperative management institutions. All these institutions may increase the long-term gains, prolong the life of the resource, and help to escape the tragedy of the commons trap. Cooperative game theory approaches can serve as the backbone of cooperative CPR management institutions. This paper formulates and applies several commonly used cooperative game theoretic solution concepts, namely, the core, Nash-Harsanyi, Shapley, and nucleolus. Through a numerical groundwater example, we show how CPR users can share the gains obtained from cooperation in a fair and efficient manner based on these cooperative solution concepts (management institutions). Although, based on their fairness rationales, various cooperative management institutions may suggest different allocations that are potentially acceptable to the users, these allocation solutions may not be stable as some users may find them unfair. This paper discusses how different methods, such as application of the plurality rule and power index, stability index, and propensity to disrupt concepts, can help identify the most stable and likely solutions for enforcing cooperation among the CPR beneficiaries. Furthermore, how the noncooperative managerial characteristics of the CPR users can affect the stability and acceptability of the different cooperative CPR management institutions is discussed, providing valuable policy insights for cooperative CPR management at community levels.

  15. Targeted Porcine Genome Engineering with TALENs

    DEFF Research Database (Denmark)

    Luo, Yonglun; Lin, Lin; Golas, Mariola Monika

    2015-01-01

    Genetically modified pigs are becoming an invaluable animal model for agricultural, pharmaceutical, and biomedical applications. Unlike traditional transgenesis, which is accomplished by randomly inserting an exogenous transgene cassette into the natural chromosomal context, targeted genome editing...... confers precisely editing (e.g., mutations or indels) or insertion of a functional transgenic cassette to user-designed loci. Techniques for targeted genome engineering are growing dramatically and include, e.g., zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs......), and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems. These systems provide enormous potential applications. In this chapter, we review the use of TALENs for targeted genome editing with focus on their application in pigs. In addition, a brief protocol...

  16. Users' attitude towards science and technology database system : INIS user needs survey

    International Nuclear Information System (INIS)

    Fukazawa, Takeyasu; Takahashi, Satoko; Yonezawa, Minoru; Kajiro, Tadashi; Mineo, Yukinobu; Habara, Takako; Komatsubara, Yasutoshi; Hiramatsu, Nobuaki; Habara, Tadashi.

    1995-01-01

    The International Nuclear Information System (INIS) is the world's leading information system on the peaceful use of nuclear energy which is being operated by the International Atomic Energy Agency (IAEA) in collaboration with its member-states and other international organizations. After more than 20 years of the operation of INIS, a user needs survey was conducted with the aim of assisting the INIS Secretariat to decide which way INIS should go. This report describes users' attitude towards that system on the basis of the conclusions drawn from the questionnaires sent out to the users by the Japan Atomic Energy Research Institute, the INIS national center in Japan, in close collaboration with the Japan Information Center of Science and Technology. (author)

  17. Lightweight genome viewer: portable software for browsing genomics data in its chromosomal context

    Directory of Open Access Journals (Sweden)

    Gardner Timothy S

    2007-09-01

    Full Text Available Abstract Background Lightweight genome viewer (lwgv is a web-based tool for visualization of sequence annotations in their chromosomal context. It performs most of the functions of larger genome browsers, while relying on standard flat-file formats and bypassing the database needs of most visualization tools. Visualization as an aide to discovery requires display of novel data in conjunction with static annotations in their chromosomal context. With database-based systems, displaying dynamic results requires temporary tables that need to be tracked for removal. Results lwgv simplifies the visualization of user-generated results on a local computer. The dynamic results of these analyses are written to transient files, which can import static content from a more permanent file. lwgv is currently used in many different applications, from whole genome browsers to single-gene RNAi design visualization, demonstrating its applicability in a large variety of contexts and scales. Conclusion lwgv provides a lightweight alternative to large genome browsers for visualizing biological annotations and dynamic analyses in their chromosomal context. It is particularly suited for applications ranging from short sequences to medium-sized genomes when the creation and maintenance of a large software and database infrastructure is not necessary or desired.

  18. 75 FR 54159 - National Institute on Aging; Notice of Closed Meetings

    Science.gov (United States)

    2010-09-03

    ...: National Institute on Aging Special Emphasis Panel, Stem Cells and Genomic Integrity Through Senescense.... 93.866, Aging Research, National Institutes of Health, HHS) Dated: August 26, 2010. Jennifer S...

  19. CHESS (CgHExpreSS): a comprehensive analysis tool for the analysis of genomic alterations and their effects on the expression profile of the genome.

    Science.gov (United States)

    Lee, Mikyung; Kim, Yangseok

    2009-12-16

    test. By successive operations of two modules, users can clarify how gene expression levels are affected by the phenotype specific genomic alterations. As CHESS was developed in both Java application and web environments, it can be run on a web browser or a local machine. It also supports all experimental platforms if a properly formatted text file is provided to include the chromosomal position of probes and their gene identifiers. CHESS is a user-friendly tool for investigating disease specific genomic alterations and quantitative relationships between those genomic alterations and genome-wide gene expression profiling.

  20. Genome Variation Map: a data repository of genome variations in BIG Data Center.

    Science.gov (United States)

    Song, Shuhui; Tian, Dongmei; Li, Cuiping; Tang, Bixia; Dong, Lili; Xiao, Jingfa; Bao, Yiming; Zhao, Wenming; He, Hang; Zhang, Zhang

    2018-01-04

    The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. As a core resource in the BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, GVM dedicates to collect, integrate and visualize genome variations for a wide range of species, accepts submissions of different types of genome variations from all over the world and provides free open access to all publicly available data in support of worldwide research activities. Unlike existing related databases, GVM features integration of a large number of genome variations for a broad diversity of species including human, cultivated plants and domesticated animals. Specifically, the current implementation of GVM not only houses a total of ∼4.9 billion variants for 19 species including chicken, dog, goat, human, poplar, rice and tomato, but also incorporates 8669 individual genotypes and 13 262 manually curated high-quality genotype-to-phenotype associations for non-human species. In addition, GVM provides friendly intuitive web interfaces for data submission, browse, search and visualization. Collectively, GVM serves as an important resource for archiving genomic variation data, helpful for better understanding population genetic diversity and deciphering complex mechanisms associated with different phenotypes. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  1. Genome Variation Map: a data repository of genome variations in BIG Data Center

    Science.gov (United States)

    Tian, Dongmei; Li, Cuiping; Tang, Bixia; Dong, Lili; Xiao, Jingfa; Bao, Yiming; Zhao, Wenming; He, Hang

    2018-01-01

    Abstract The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. As a core resource in the BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, GVM dedicates to collect, integrate and visualize genome variations for a wide range of species, accepts submissions of different types of genome variations from all over the world and provides free open access to all publicly available data in support of worldwide research activities. Unlike existing related databases, GVM features integration of a large number of genome variations for a broad diversity of species including human, cultivated plants and domesticated animals. Specifically, the current implementation of GVM not only houses a total of ∼4.9 billion variants for 19 species including chicken, dog, goat, human, poplar, rice and tomato, but also incorporates 8669 individual genotypes and 13 262 manually curated high-quality genotype-to-phenotype associations for non-human species. In addition, GVM provides friendly intuitive web interfaces for data submission, browse, search and visualization. Collectively, GVM serves as an important resource for archiving genomic variation data, helpful for better understanding population genetic diversity and deciphering complex mechanisms associated with different phenotypes. PMID:29069473

  2. A Guide to the PLAZA 3.0 Plant Comparative Genomic Database.

    Science.gov (United States)

    Vandepoele, Klaas

    2017-01-01

    PLAZA 3.0 is an online resource for comparative genomics and offers a versatile platform to study gene functions and gene families or to analyze genome organization and evolution in the green plant lineage. Starting from genome sequence information for over 35 plant species, precomputed comparative genomic data sets cover homologous gene families, multiple sequence alignments, phylogenetic trees, and genomic colinearity information within and between species. Complementary functional data sets, a Workbench, and interactive visualization tools are available through a user-friendly web interface, making PLAZA an excellent starting point to translate sequence or omics data sets into biological knowledge. PLAZA is available at http://bioinformatics.psb.ugent.be/plaza/ .

  3. Governing the water user

    NARCIS (Netherlands)

    Rap, Edwin; Wester, Flip

    2017-01-01

    This article traces a policy shift that makes the ‘water user’ the main subject of water governance. From a Foucauldian perspective on governmentality these new subjectivities accompany neo-liberal governmental technologies to devolve autonomy from state institutions to an active user base, whilst

  4. HANARO user support and training

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Shin Ae; Kim, K. Y.; Kim, B. K. (and others)

    2008-06-15

    This project is aimed to support external users for the effective use of HANARO. The total number of projects selected as the beneficiary of the supporting program by MEST was 21 including this project in this year. We supported 2,339 hr measurements for the 31 requests of the 14 projects selected on the field of neutron beam utilization. In the field of materials and nuclear fuel irradiation test the 3 projects were selected and supported for 80 samples. In the fields of neutron activation analysis and radioisotope production the number of selected and supported projects were 1 and 2 respectively. In order to broaden potential user base, maximize instrument utilization, and enhance cooperation with industries, universities and institutes, practice-oriented HANARO user training courses were held for neutron beam utilization and materials and nuclear fuel irradiation fields. In the fields of neutron activation analysis 3 times training courses were held for the university students. The online neutron beam time allocation system was developed and applied successfully for the HRPD in this year. We are planing to apply this system to other neutron beam instruments in the near future. This project is a kind of the user-based supporting program for the maximize of HANARO utilization. The development products and the ideas and suggestions of users obtained through this projects will be collected and applied to the development of next new facilities. Also, by using the 'HANARO utilization and research information management system(HANARO4U)' we construct the research network among users at industries, universities and institutes. This network is expected to increase HANARO utilization and enhance productivity of the facilities.

  5. Hal: an automated pipeline for phylogenetic analyses of genomic data.

    Science.gov (United States)

    Robbertse, Barbara; Yoder, Ryan J; Boyd, Alex; Reeves, John; Spatafora, Joseph W

    2011-02-07

    The rapid increase in genomic and genome-scale data is resulting in unprecedented levels of discrete sequence data available for phylogenetic analyses. Major analytical impasses exist, however, prior to analyzing these data with existing phylogenetic software. Obstacles include the management of large data sets without standardized naming conventions, identification and filtering of orthologous clusters of proteins or genes, and the assembly of alignments of orthologous sequence data into individual and concatenated super alignments. Here we report the production of an automated pipeline, Hal that produces multiple alignments and trees from genomic data. These alignments can be produced by a choice of four alignment programs and analyzed by a variety of phylogenetic programs. In short, the Hal pipeline connects the programs BLASTP, MCL, user specified alignment programs, GBlocks, ProtTest and user specified phylogenetic programs to produce species trees. The script is available at sourceforge (http://sourceforge.net/projects/bio-hal/). The results from an example analysis of Kingdom Fungi are briefly discussed.

  6. STORMSeq: An Open-Source, User-Friendly Pipeline for Processing Personal Genomics Data in the Cloud

    OpenAIRE

    Karczewski, Konrad J.; Fernald, Guy Haskin; Martin, Alicia R.; Snyder, Michael; Tatonetti, Nicholas P.; Dudley, Joel T.

    2014-01-01

    The increasing public availability of personal complete genome sequencing data has ushered in an era of democratized genomics. However, read mapping and variant calling software is constantly improving and individuals with personal genomic data may prefer to customize and update their variant calls. Here, we describe STORMSeq (Scalable Tools for Open-Source Read Mapping), a graphical interface cloud computing solution that does not require a parallel computing environment or extensive technic...

  7. Next generation tools for genomic data generation, distribution, and visualization

    Directory of Open Access Journals (Sweden)

    Nix David A

    2010-09-01

    Full Text Available Abstract Background With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the laboratory and clinic is shifting to one of effectively managing, analyzing, and sharing genomic data. Results Here we present three open-source, platform independent, software tools for generating, analyzing, distributing, and visualizing genomic data. These include a next generation sequencing/microarray LIMS and analysis project center (GNomEx; an application for annotating and programmatically distributing genomic data using the community vetted DAS/2 data exchange protocol (GenoPub; and a standalone Java Swing application (GWrap that makes cutting edge command line analysis tools available to those who prefer graphical user interfaces. Both GNomEx and GenoPub use the rich client Flex/Flash web browser interface to interact with Java classes and a relational database on a remote server. Both employ a public-private user-group security model enabling controlled distribution of patient and unpublished data alongside public resources. As such, they function as genomic data repositories that can be accessed manually or programmatically through DAS/2-enabled client applications such as the Integrated Genome Browser. Conclusions These tools have gained wide use in our core facilities, research laboratories and clinics and are freely available for non-profit use. See http://sourceforge.net/projects/gnomex/, http://sourceforge.net/projects/genoviz/, and http://sourceforge.net/projects/useq.

  8. Origins of the Human Genome Project.

    Science.gov (United States)

    Watson, J D; Cook-Deegan, R M

    1991-01-01

    The Human Genome Project has become a reality. Building on a debate that dates back to 1985, several genome projects are now in full stride around the world, and more are likely to form in the next several years. Italy began its genome program in 1987, and the United Kingdom and U.S.S.R. in 1988. The European communities mounted several genome projects on yeast, bacteria, Drosophila, and Arabidospis thaliana (a rapidly growing plant with a small genome) in 1988, and in 1990 commenced a new 2-year program on the human genome. In the United States, we have completed the first year of operation of the National Center for Human Genome Research at the National Institutes of Health (NIH), now the largest single funding source for genome research in the world. There have been dedicated budgets focused on genome-scale research at NIH, the U.S. Department of Energy, and the Howard Hughes Medical Institute for several years, and results are beginning to accumulate. There were three annual meetings on genome mapping and sequencing at Cold Spring Harbor, New York, in the spring of 1988, 1989, and 1990; the talks have shifted from a discussion about how to approach problems to presenting results from experiments already performed. We have finally begun to work rather than merely talk. The purpose of genome projects is to assemble data on the structure of DNA in human chromosomes and those of other organisms. A second goal is to develop new technologies to perform mapping and sequencing. There have been impressive technical advances in the past 5 years since the debate about the human genome project began. We are on the verge of beginning pilot projects to test several approaches to sequencing long stretches of DNA, using both automation and manual methods. Ordered sets of yeast artificial chromosome and cosmid clones have been assembled to span more than 2 million base pairs of several human chromosomes, and a region of 10 million base pairs has been assembled for

  9. A user's manual to the PMBOK guide

    CERN Document Server

    Stackpole Snyder, Cynthia

    2013-01-01

    The must-have manual to understand and use the latest edition of the Fifth Edition The professional standard in the field of project management, A Guide to the Project Management Body of Knowledge (PMBOK® Guide-Fifth Edition) published by the Project Management Institute (PMI) serves as the ultimate resource for professionals and as a valuable studying and training device for students taking the PMP® Exam. A User''s Manual to the PMBOK® Guide takes the next logical step to act as a true user''s manual. With an accessible format and easy-to-understand language, it helps to not only distill es

  10. Measuring Consortium Impact on User Perceptions: OhioLINK and LibQUAL+[TM

    Science.gov (United States)

    Gatten, Jeffrey N.

    2004-01-01

    What is the impact of an academic library consortium on the perceptions of library services experienced by users of the member institutions' libraries? What is the impact of an academic library consortium on the perceptions of library services experienced by users of the member institutions libraries? In 2002 and 2003, OhioLINK (Ohio's consortium…

  11. An overview of wheat genome sequencing and its implications for ...

    Indian Academy of Sciences (India)

    National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110 067, India ... Wheat (Triticum aestivum L.) serves as the staple food for. 30% of the global .... bread wheat genome is a product of multiple rounds of hybrid.

  12. Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions

    Directory of Open Access Journals (Sweden)

    Quang Vinh Nguyen

    2016-09-01

    Full Text Available In cancer biology, genomics represents a big data problem that needs accurate visual data processing and analytics. The human genome is very complex with thousands of genes that contain the information about the individual patients and the biological mechanisms of their disease. Therefore, when building a framework for personalised treatment, the complexity of the genome must be captured in meaningful and actionable ways. This paper presents a novel visual analytics framework that enables effective analysis of large and complex genomics data. By providing interactive visualisations from the overview of the entire patient cohort to the detail view of individual genes, our work potentially guides effective treatment decisions for childhood cancer patients. The framework consists of multiple components enabling the complete analytics supporting personalised medicines, including similarity space construction, automated analysis, visualisation, gene-to-gene comparison and user-centric interaction and exploration based on feature selection. In addition to the traditional way to visualise data, we utilise the Unity3D platform for developing a smooth and interactive visual presentation of the information. This aims to provide better rendering, image quality, ergonomics and user experience to non-specialists or young users who are familiar with 3D gaming environments and interfaces. We illustrate the effectiveness of our approach through case studies with datasets from childhood cancers, B-cell Acute Lymphoblastic Leukaemia (ALL and Rhabdomyosarcoma (RMS patients, on how to guide the effective treatment decision in the cohort.

  13. Accessing the SEED genome databases via Web services API: tools for programmers.

    Science.gov (United States)

    Disz, Terry; Akhter, Sajia; Cuevas, Daniel; Olson, Robert; Overbeek, Ross; Vonstein, Veronika; Stevens, Rick; Edwards, Robert A

    2010-06-14

    The SEED integrates many publicly available genome sequences into a single resource. The database contains accurate and up-to-date annotations based on the subsystems concept that leverages clustering between genomes and other clues to accurately and efficiently annotate microbial genomes. The backend is used as the foundation for many genome annotation tools, such as the Rapid Annotation using Subsystems Technology (RAST) server for whole genome annotation, the metagenomics RAST server for random community genome annotations, and the annotation clearinghouse for exchanging annotations from different resources. In addition to a web user interface, the SEED also provides Web services based API for programmatic access to the data in the SEED, allowing the development of third-party tools and mash-ups. The currently exposed Web services encompass over forty different methods for accessing data related to microbial genome annotations. The Web services provide comprehensive access to the database back end, allowing any programmer access to the most consistent and accurate genome annotations available. The Web services are deployed using a platform independent service-oriented approach that allows the user to choose the most suitable programming platform for their application. Example code demonstrate that Web services can be used to access the SEED using common bioinformatics programming languages such as Perl, Python, and Java. We present a novel approach to access the SEED database. Using Web services, a robust API for access to genomics data is provided, without requiring large volume downloads all at once. The API ensures timely access to the most current datasets available, including the new genomes as soon as they come online.

  14. arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays

    Directory of Open Access Journals (Sweden)

    Moreau Yves

    2005-05-01

    Full Text Available Abstract Background The availability of the human genome sequence as well as the large number of physically accessible oligonucleotides, cDNA, and BAC clones across the entire genome has triggered and accelerated the use of several platforms for analysis of DNA copy number changes, amongst others microarray comparative genomic hybridization (arrayCGH. One of the challenges inherent to this new technology is the management and analysis of large numbers of data points generated in each individual experiment. Results We have developed arrayCGHbase, a comprehensive analysis platform for arrayCGH experiments consisting of a MIAME (Minimal Information About a Microarray Experiment supportive database using MySQL underlying a data mining web tool, to store, analyze, interpret, compare, and visualize arrayCGH results in a uniform and user-friendly format. Following its flexible design, arrayCGHbase is compatible with all existing and forthcoming arrayCGH platforms. Data can be exported in a multitude of formats, including BED files to map copy number information on the genome using the Ensembl or UCSC genome browser. Conclusion ArrayCGHbase is a web based and platform independent arrayCGH data analysis tool, that allows users to access the analysis suite through the internet or a local intranet after installation on a private server. ArrayCGHbase is available at http://medgen.ugent.be/arrayCGHbase/.

  15. MaGnET: Malaria Genome Exploration Tool.

    Science.gov (United States)

    Sharman, Joanna L; Gerloff, Dietlind L

    2013-09-15

    The Malaria Genome Exploration Tool (MaGnET) is a software tool enabling intuitive 'exploration-style' visualization of functional genomics data relating to the malaria parasite, Plasmodium falciparum. MaGnET provides innovative integrated graphic displays for different datasets, including genomic location of genes, mRNA expression data, protein-protein interactions and more. Any selection of genes to explore made by the user is easily carried over between the different viewers for different datasets, and can be changed interactively at any point (without returning to a search). Free online use (Java Web Start) or download (Java application archive and MySQL database; requires local MySQL installation) at http://malariagenomeexplorer.org joanna.sharman@ed.ac.uk or dgerloff@ffame.org Supplementary data are available at Bioinformatics online.

  16. User Facilities: The Education of New Neutron Users

    International Nuclear Information System (INIS)

    Hernandez, Yamali; Brown, Craig M.

    2009-01-01

    Neutron scattering is a particularly useful tool enabling the study of compositional, structural and dynamical properties of materials down to the atomic scale. Due to the complexity of operating an intense source of neutrons, this technique is primarily practiced at large national facilities that cater to the research needs of chemists, biologists, physicists, engineers, and material scientists in general. In particular, these user facilities provide specialized instrumentation along with the scientific and technical support required to efficiently utilize it. Since neutron scattering experiments are performed at central facilities rather than in the home-laboratories of individual investigators, the facilities themselves must play a key role in the education and development of new users. The role of neutron scattering facilities in educating young scientists will be examined using examples from current programs at the National Institute of Standards and Technology Center for Neutron Research.

  17. RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach

    Energy Technology Data Exchange (ETDEWEB)

    Novichkov, Pavel S.; Rodionov, Dmitry A.; Stavrovskaya, Elena D.; Novichkova, Elena S.; Kazakov, Alexey E.; Gelfand, Mikhail S.; Arkin, Adam P.; Mironov, Andrey A.; Dubchak, Inna

    2010-05-26

    RegPredict web server is designed to provide comparative genomics tools for reconstruction and analysis of microbial regulons using comparative genomics approach. The server allows the user to rapidly generate reference sets of regulons and regulatory motif profiles in a group of prokaryotic genomes. The new concept of a cluster of co-regulated orthologous operons allows the user to distribute the analysis of large regulons and to perform the comparative analysis of multiple clusters independently. Two major workflows currently implemented in RegPredict are: (i) regulon reconstruction for a known regulatory motif and (ii) ab initio inference of a novel regulon using several scenarios for the generation of starting gene sets. RegPredict provides a comprehensive collection of manually curated positional weight matrices of regulatory motifs. It is based on genomic sequences, ortholog and operon predictions from the MicrobesOnline. An interactive web interface of RegPredict integrates and presents diverse genomic and functional information about the candidate regulon members from several web resources. RegPredict is freely accessible at http://regpredict.lbl.gov.

  18. Brassica ASTRA: an integrated database for Brassica genomic research.

    Science.gov (United States)

    Love, Christopher G; Robinson, Andrew J; Lim, Geraldine A C; Hopkins, Clare J; Batley, Jacqueline; Barker, Gary; Spangenberg, German C; Edwards, David

    2005-01-01

    Brassica ASTRA is a public database for genomic information on Brassica species. The database incorporates expressed sequences with Swiss-Prot and GenBank comparative sequence annotation as well as secondary Gene Ontology (GO) annotation derived from the comparison with Arabidopsis TAIR GO annotations. Simple sequence repeat molecular markers are identified within resident sequences and mapped onto the closely related Arabidopsis genome sequence. Bacterial artificial chromosome (BAC) end sequences derived from the Multinational Brassica Genome Project are also mapped onto the Arabidopsis genome sequence enabling users to identify candidate Brassica BACs corresponding to syntenic regions of Arabidopsis. This information is maintained in a MySQL database with a web interface providing the primary means of interrogation. The database is accessible at http://hornbill.cspp.latrobe.edu.au.

  19. Genomic taxonomy of vibrios

    Directory of Open Access Journals (Sweden)

    Iida Tetsuya

    2009-10-01

    the birth of the online genomic taxonomy whereby researchers and end-users of taxonomy will be able to identify their isolates through a web-based server. This novel approach to microbial systematics will result in a tremendous advance concerning biodiversity discovery, description, and understanding.

  20. Genome position and gene amplification

    Czech Academy of Sciences Publication Activity Database

    Jirsová, Pavla; Snijders, A.M.; Kwek, S.; Roydasgupta, R.; Fridlyand, J.; Tokuyasu, T.; Pinkel, D.; Albertson, D. G.

    2007-01-01

    Roč. 8, č. 6 (2007), r120 ISSN 1474-760X Institutional research plan: CEZ:AV0Z50040507; CEZ:AV0Z50040702 Keywords : gene amplification * array comparative genomic hybridization * oncogene Subject RIV: BO - Biophysics Impact factor: 6.589, year: 2007

  1. Genome-wide study of correlations between genomic features and their relationship with the regulation of gene expression.

    Science.gov (United States)

    Kravatsky, Yuri V; Chechetkin, Vladimir R; Tchurikov, Nikolai A; Kravatskaya, Galina I

    2015-02-01

    The broad class of tasks in genetics and epigenetics can be reduced to the study of various features that are distributed over the genome (genome tracks). The rapid and efficient processing of the huge amount of data stored in the genome-scale databases cannot be achieved without the software packages based on the analytical criteria. However, strong inhomogeneity of genome tracks hampers the development of relevant statistics. We developed the criteria for the assessment of genome track inhomogeneity and correlations between two genome tracks. We also developed a software package, Genome Track Analyzer, based on this theory. The theory and software were tested on simulated data and were applied to the study of correlations between CpG islands and transcription start sites in the Homo sapiens genome, between profiles of protein-binding sites in chromosomes of Drosophila melanogaster, and between DNA double-strand breaks and histone marks in the H. sapiens genome. Significant correlations between transcription start sites on the forward and the reverse strands were observed in genomes of D. melanogaster, Caenorhabditis elegans, Mus musculus, H. sapiens, and Danio rerio. The observed correlations may be related to the regulation of gene expression in eukaryotes. Genome Track Analyzer is freely available at http://ancorr.eimb.ru/. © The Author 2015. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

  2. PICMI: mapping point mutations on genomes.

    KAUST Repository

    Le Pera, Loredana; Marcatili, Paolo; Tramontano, Anna

    2010-01-01

    MOTIVATION: Several international collaborations and local projects are producing extensive catalogues of genomic variations that are supplementing existing collections such as the OMIM catalogue. The flood of this type of data will keep increasing and, especially, it will be relevant to a wider user base, including not only molecular biologists, geneticists and bioinformaticians, but also clinical researchers. Mapping the observed variations, sometimes only described at the amino acid level, on a genome, identifying whether they affect a gene and-if so-whether they also affect different isoforms of the same gene, is a time consuming and often frustrating task. RESULTS: The PICMI server is an easy to use tool for quickly mapping one or more amino acid or nucleotide variations on a genome and its products, including alternatively spliced isoforms. AVAILABILITY: The server is available at www.biocomputing.it/picmi.

  3. PICMI: mapping point mutations on genomes.

    KAUST Repository

    Le Pera, Loredana

    2010-10-12

    MOTIVATION: Several international collaborations and local projects are producing extensive catalogues of genomic variations that are supplementing existing collections such as the OMIM catalogue. The flood of this type of data will keep increasing and, especially, it will be relevant to a wider user base, including not only molecular biologists, geneticists and bioinformaticians, but also clinical researchers. Mapping the observed variations, sometimes only described at the amino acid level, on a genome, identifying whether they affect a gene and-if so-whether they also affect different isoforms of the same gene, is a time consuming and often frustrating task. RESULTS: The PICMI server is an easy to use tool for quickly mapping one or more amino acid or nucleotide variations on a genome and its products, including alternatively spliced isoforms. AVAILABILITY: The server is available at www.biocomputing.it/picmi.

  4. VAGUE: a graphical user interface for the Velvet assembler.

    Science.gov (United States)

    Powell, David R; Seemann, Torsten

    2013-01-15

    Velvet is a popular open-source de novo genome assembly software tool, which is run from the Unix command line. Most of the problems experienced by new users of Velvet revolve around constructing syntactically and semantically correct command lines, getting input files into acceptable formats and assessing the output. Here, we present Velvet Assembler Graphical User Environment (VAGUE), a multi-platform graphical front-end for Velvet. VAGUE aims to make sequence assembly accessible to a wider audience and to facilitate better usage amongst existing users of Velvet. VAGUE is implemented in JRuby and targets the Java Virtual Machine. It is available under an open-source GPLv2 licence from http://www.vicbioinformatics.com/. torsten.seemann@monash.edu.

  5. Helminth genome projects: all or nothing

    Czech Academy of Sciences Publication Activity Database

    Lukeš, Julius; Horák, Aleš; Scholz, Tomáš

    2005-01-01

    Roč. 21, č. 6 (2005), s. 265-266 ISSN 1471-4922 Institutional research plan: CEZ:AV0Z60220518 Keywords : genome project * helminth * Dracunculus Subject RIV: EG - Zoology Impact factor: 4.526, year: 2005

  6. A comprehensive crop genome research project: the Superhybrid Rice Genome Project in China.

    Science.gov (United States)

    Yu, Jun; Wong, Gane Ka-Shu; Liu, Siqi; Wang, Jian; Yang, Huanming

    2007-06-29

    In May 2000, the Beijing Institute of Genomics formally announced the launch of a comprehensive crop genome research project on rice genomics, the Chinese Superhybrid Rice Genome Project. SRGP is not simply a sequencing project targeted to a single rice (Oryza sativa L.) genome, but a full-swing research effort with an ultimate goal of providing inclusive basic genomic information and molecular tools not only to understand biology of the rice, both as an important crop species and a model organism of cereals, but also to focus on a popular superhybrid rice landrace, LYP9. We have completed the first phase of SRGP and provide the rice research community with a finished genome sequence of an indica variety, 93-11 (the paternal cultivar of LYP9), together with ample data on subspecific (between subspecies) polymorphisms, transcriptomes and proteomes, useful for within-species comparative studies. In the second phase, we have acquired the genome sequence of the maternal cultivar, PA64S, together with the detailed catalogues of genes uniquely expressed in the parental cultivars and the hybrid as well as allele-specific markers that distinguish parental alleles. Although SRGP in China is not an open-ended research programme, it has been designed to pave a way for future plant genomics research and application, such as to interrogate fundamentals of plant biology, including genome duplication, polyploidy and hybrid vigour, as well as to provide genetic tools for crop breeding and to carry along a social burden-leading a fight against the world's hunger. It began with genomics, the newly developed and industry-scale research field, and from the world's most populous country. In this review, we summarize our scientific goals and noteworthy discoveries that exploit new territories of systematic investigations on basic and applied biology of rice and other major cereal crops.

  7. Cytoscape: the network visualization tool for GenomeSpace workflows [v2; ref status: indexed, http://f1000r.es/47f

    Directory of Open Access Journals (Sweden)

    Barry Demchak

    2014-08-01

    Full Text Available Modern genomic analysis often requires workflows incorporating multiple best-of-breed tools. GenomeSpace is a web-based visual workbench that combines a selection of these tools with mechanisms that create data flows between them. One such tool is Cytoscape 3, a popular application that enables analysis and visualization of graph-oriented genomic networks. As Cytoscape runs on the desktop, and not in a web browser, integrating it into GenomeSpace required special care in creating a seamless user experience and enabling appropriate data flows. In this paper, we present the design and operation of the Cytoscape GenomeSpace app, which accomplishes this integration, thereby providing critical analysis and visualization functionality for GenomeSpace users. It has been downloaded over 850 times since the release of its first version in September, 2013.

  8. Cytoscape: the network visualization tool for GenomeSpace workflows [v1; ref status: indexed, http://f1000r.es/3ph

    Directory of Open Access Journals (Sweden)

    Barry Demchak

    2014-07-01

    Full Text Available Modern genomic analysis often requires workflows incorporating multiple best-ofbreed tools. GenomeSpace is a web-based visual workbench that combines a selection of these tools with mechanisms that create data flows between them. One such tool is Cytoscape 3, a popular application that enables analysis and visualization of graph-oriented genomic networks. As Cytoscape runs on the desktop, and not in a web browser, integrating it into GenomeSpace required special care in creating a seamless user experience and enabling appropriate data flows. In this paper, we present the design and operation of the Cytoscape GenomeSpace app, which accomplishes this integration, thereby providing critical analysis and visualization functionality for GenomeSpace users. It has been downloaded it over 850 times since the release of its first version in September, 2013.

  9. TabSQL: a MySQL tool to facilitate mapping user data to public databases.

    Science.gov (United States)

    Xia, Xiao-Qin; McClelland, Michael; Wang, Yipeng

    2010-06-23

    With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases. We developed TabSQL, a MySQL-based application tool, for viewing, filtering and querying data files with large numbers of rows. TabSQL provides functions for downloading and installing table files from public databases including the Gene Ontology database (GO), the Ensembl databases, and genome databases from the UCSC genome bioinformatics site. Any other database that provides tab-delimited flat files can also be imported. The downloaded gene annotation tables can be queried together with users' data in TabSQL using either a graphic interface or command line. TabSQL allows queries across the user's data and public databases without programming. It is a convenient tool for biologists to annotate and enrich their data.

  10. Smart grids or smart users? Involving users in developing a low carbon electricity economy

    International Nuclear Information System (INIS)

    Verbong, Geert P.J.; Beemsterboer, Sjouke; Sengers, Frans

    2013-01-01

    This article analyses practices and perceptions of stakeholders on including users in smart grids experiments in the Netherlands. In-depth interviews have been conducted and smart grid projects have been analysed, using a Strategic Niche Management framework. The analysis shows that there is a clear trend to pay more attention to users in new smart grid projects. However, too much focus on technology and economic incentives can become a barrier. Some institutional barriers have been identified. New innovative business models should be developed to explore different options to involve users. The many pilot and demonstration projects that are taking shape or are being planned offer an excellent opportunity for such an exploration. Learning on the social dimensions of smart grids, and the international exchange of experiences can prevent a premature lock-in in a particular pathway. - Highlights: ► State of the art of smart grids experiments in the Netherlands. ► Focus on role and position of users. ► Trend is to active involvement of users. ► Several barriers have been identified.

  11. Plastid: nucleotide-resolution analysis of next-generation sequencing and genomics data.

    Science.gov (United States)

    Dunn, Joshua G; Weissman, Jonathan S

    2016-11-22

    Next-generation sequencing (NGS) informs many biological questions with unprecedented depth and nucleotide resolution. These assays have created a need for analytical tools that enable users to manipulate data nucleotide-by-nucleotide robustly and easily. Furthermore, because many NGS assays encode information jointly within multiple properties of read alignments - for example, in ribosome profiling, the locations of ribosomes are jointly encoded in alignment coordinates and length - analytical tools are often required to extract the biological meaning from the alignments before analysis. Many assay-specific pipelines exist for this purpose, but there remains a need for user-friendly, generalized, nucleotide-resolution tools that are not limited to specific experimental regimes or analytical workflows. Plastid is a Python library designed specifically for nucleotide-resolution analysis of genomics and NGS data. As such, Plastid is designed to extract assay-specific information from read alignments while retaining generality and extensibility to novel NGS assays. Plastid represents NGS and other biological data as arrays of values associated with genomic or transcriptomic positions, and contains configurable tools to convert data from a variety of sources to such arrays. Plastid also includes numerous tools to manipulate even discontinuous genomic features, such as spliced transcripts, with nucleotide precision. Plastid automatically handles conversion between genomic and feature-centric coordinates, accounting for splicing and strand, freeing users of burdensome accounting. Finally, Plastid's data models use consistent and familiar biological idioms, enabling even beginners to develop sophisticated analytical workflows with minimal effort. Plastid is a versatile toolkit that has been used to analyze data from multiple NGS assays, including RNA-seq, ribosome profiling, and DMS-seq. It forms the genomic engine of our ORF annotation tool, ORF-RATER, and is readily

  12. The User Perspective in Performance Auditing--A Case Study of Norway

    Science.gov (United States)

    Arthur, Arnfrid; Rydland, Lars Tore; Amundsen, Kristin

    2012-01-01

    The user perspective is an important contextual factor for Supreme Audit Institutions (SAIs). This article provides examples from performance audits in Norway and explores why the user perspective has become important in performance audit practices. It shows that user satisfaction can be employed as a key performance indicator of effectiveness of…

  13. Multiple Whole Genome Alignments and Novel Biomedical Applicationsat the VISTA Portal

    Energy Technology Data Exchange (ETDEWEB)

    Brudno, Michael; Poliakov, Alexander; Minovitsky, Simon; Ratnere,Igor; Dubchak, Inna

    2007-02-01

    The VISTA portal for comparative genomics is designed togive biomedical scientists a unified set of tools to lead them from theraw DNA sequences through the alignment and annotation to thevisualization of the results. The VISTA portal also hosts alignments of anumber of genomes computed by our group, allowing users to study regionsof their interest without having to manually download the individualsequences. Here we describe various algorithmic and functionalimprovements implemented in the VISTA portal over the last two years. TheVISTA Portal is accessible at http://genome.lbl.gov/vista.

  14. Interdisciplinary arts and health practice with an institutional logics perspective

    DEFF Research Database (Denmark)

    Jensen, Anita

    2018-01-01

    Background:Investigating the interdisciplinary relationships between stakeholders engaged in arts and health practice in the UK and Denmark, specifically with regard to institutional logics theory. The identified stakeholders: health professionals, museum educators and mental health service users....... Method:Semi-structured interviews were conducted with 30 participants: health professionals, museum educators and service users. Data were collected in Denmark and the UK. A thematic approach was used to analyse the data and theoretical lenses of sociological theories, and institutional logics explored...... the findings. Results:The interdisciplinary work in arts and health is complex, given the different disciplines and institutions involved. Findings illustrate that institutional logics play a vital and ambiguous part in arts and health practice and that this presents a challenge for interdisciplinary working...

  15. ProFITS of maize: a database of protein families involved in the transduction of signalling in the maize genome

    Directory of Open Access Journals (Sweden)

    Zhang Zhenhai

    2010-10-01

    Full Text Available Abstract Background Maize (Zea mays ssp. mays L. is an important model for plant basic and applied research. In 2009, the B73 maize genome sequencing made a great step forward, using clone by clone strategy; however, functional annotation and gene classification of the maize genome are still limited. Thus, a well-annotated datasets and informative database will be important for further research discoveries. Signal transduction is a fundamental biological process in living cells, and many protein families participate in this process in sensing, amplifying and responding to various extracellular or internal stimuli. Therefore, it is a good starting point to integrate information on the maize functional genes involved in signal transduction. Results Here we introduce a comprehensive database 'ProFITS' (Protein Families Involved in the Transduction of Signalling, which endeavours to identify and classify protein kinases/phosphatases, transcription factors and ubiquitin-proteasome-system related genes in the B73 maize genome. Users can explore gene models, corresponding transcripts and FLcDNAs using the three abovementioned protein hierarchical categories, and visualize them using an AJAX-based genome browser (JBrowse or Generic Genome Browser (GBrowse. Functional annotations such as GO annotation, protein signatures, protein best-hits in the Arabidopsis and rice genome are provided. In addition, pre-calculated transcription factor binding sites of each gene are generated and mutant information is incorporated into ProFITS. In short, ProFITS provides a user-friendly web interface for studies in signal transduction process in maize. Conclusion ProFITS, which utilizes both the B73 maize genome and full length cDNA (FLcDNA datasets, provides users a comprehensive platform of maize annotation with specific focus on the categorization of families involved in the signal transduction process. ProFITS is designed as a user-friendly web interface and it is

  16. GREAT: a web portal for Genome Regulatory Architecture Tools.

    Science.gov (United States)

    Bouyioukos, Costas; Bucchini, François; Elati, Mohamed; Képès, François

    2016-07-08

    GREAT (Genome REgulatory Architecture Tools) is a novel web portal for tools designed to generate user-friendly and biologically useful analysis of genome architecture and regulation. The online tools of GREAT are freely accessible and compatible with essentially any operating system which runs a modern browser. GREAT is based on the analysis of genome layout -defined as the respective positioning of co-functional genes- and its relation with chromosome architecture and gene expression. GREAT tools allow users to systematically detect regular patterns along co-functional genomic features in an automatic way consisting of three individual steps and respective interactive visualizations. In addition to the complete analysis of regularities, GREAT tools enable the use of periodicity and position information for improving the prediction of transcription factor binding sites using a multi-view machine learning approach. The outcome of this integrative approach features a multivariate analysis of the interplay between the location of a gene and its regulatory sequence. GREAT results are plotted in web interactive graphs and are available for download either as individual plots, self-contained interactive pages or as machine readable tables for downstream analysis. The GREAT portal can be reached at the following URL https://absynth.issb.genopole.fr/GREAT and each individual GREAT tool is available for downloading. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  17. Genomes of the Mouse Collaborative Cross.

    Science.gov (United States)

    Srivastava, Anuj; Morgan, Andrew P; Najarian, Maya L; Sarsani, Vishal Kumar; Sigmon, J Sebastian; Shorter, John R; Kashfeen, Anwica; McMullan, Rachel C; Williams, Lucy H; Giusti-Rodríguez, Paola; Ferris, Martin T; Sullivan, Patrick; Hock, Pablo; Miller, Darla R; Bell, Timothy A; McMillan, Leonard; Churchill, Gary A; de Villena, Fernando Pardo-Manuel

    2017-06-01

    The Collaborative Cross (CC) is a multiparent panel of recombinant inbred (RI) mouse strains derived from eight founder laboratory strains. RI panels are popular because of their long-term genetic stability, which enhances reproducibility and integration of data collected across time and conditions. Characterization of their genomes can be a community effort, reducing the burden on individual users. Here we present the genomes of the CC strains using two complementary approaches as a resource to improve power and interpretation of genetic experiments. Our study also provides a cautionary tale regarding the limitations imposed by such basic biological processes as mutation and selection. A distinct advantage of inbred panels is that genotyping only needs to be performed on the panel, not on each individual mouse. The initial CC genome data were haplotype reconstructions based on dense genotyping of the most recent common ancestors (MRCAs) of each strain followed by imputation from the genome sequence of the corresponding founder inbred strain. The MRCA resource captured segregating regions in strains that were not fully inbred, but it had limited resolution in the transition regions between founder haplotypes, and there was uncertainty about founder assignment in regions of limited diversity. Here we report the whole genome sequence of 69 CC strains generated by paired-end short reads at 30× coverage of a single male per strain. Sequencing leads to a substantial improvement in the fine structure and completeness of the genomes of the CC. Both MRCAs and sequenced samples show a significant reduction in the genome-wide haplotype frequencies from two wild-derived strains, CAST/EiJ and PWK/PhJ. In addition, analysis of the evolution of the patterns of heterozygosity indicates that selection against three wild-derived founder strains played a significant role in shaping the genomes of the CC. The sequencing resource provides the first description of tens of thousands of

  18. RGmatch: matching genomic regions to proximal genes in omics data integration

    Directory of Open Access Journals (Sweden)

    Pedro Furió-Tarí

    2016-11-01

    Full Text Available Abstract Background The integrative analysis of multiple genomics data often requires that genome coordinates-based signals have to be associated with proximal genes. The relative location of a genomic region with respect to the gene (gene area is important for functional data interpretation; hence algorithms that match regions to genes should be able to deliver insight into this information. Results In this work we review the tools that are publicly available for making region-to-gene associations. We also present a novel method, RGmatch, a flexible and easy-to-use Python tool that computes associations either at the gene, transcript, or exon level, applying a set of rules to annotate each region-gene association with the region location within the gene. RGmatch can be applied to any organism as long as genome annotation is available. Furthermore, we qualitatively and quantitatively compare RGmatch to other tools. Conclusions RGmatch simplifies the association of a genomic region with its closest gene. At the same time, it is a powerful tool because the rules used to annotate these associations are very easy to modify according to the researcher’s specific interests. Some important differences between RGmatch and other similar tools already in existence are RGmatch’s flexibility, its wide range of user options, compatibility with any annotatable organism, and its comprehensive and user-friendly output.

  19. bioWidgets: data interaction components for genomics.

    Science.gov (United States)

    Fischer, S; Crabtree, J; Brunk, B; Gibson, M; Overton, G C

    1999-10-01

    The presentation of genomics data in a perspicuous visual format is critical for its rapid interpretation and validation. Relatively few public database developers have the resources to implement sophisticated front-end user interfaces themselves. Accordingly, these developers would benefit from a reusable toolkit of user interface and data visualization components. We have designed the bioWidget toolkit as a set of JavaBean components. It includes a wide array of user interface components and defines an architecture for assembling applications. The toolkit is founded on established software engineering design patterns and principles, including componentry, Model-View-Controller, factored models and schema neutrality. As a proof of concept, we have used the bioWidget toolkit to create three extendible applications: AnnotView, BlastView and AlignView.

  20. HGVA: the Human Genome Variation Archive.

    Science.gov (United States)

    Lopez, Javier; Coll, Jacobo; Haimel, Matthias; Kandasamy, Swaathi; Tarraga, Joaquin; Furio-Tari, Pedro; Bari, Wasim; Bleda, Marta; Rueda, Antonio; Gräf, Stefan; Rendon, Augusto; Dopazo, Joaquin; Medina, Ignacio

    2017-07-03

    High-profile genomic variation projects like the 1000 Genomes project or the Exome Aggregation Consortium, are generating a wealth of human genomic variation knowledge which can be used as an essential reference for identifying disease-causing genotypes. However, accessing these data, contrasting the various studies and integrating those data in downstream analyses remains cumbersome. The Human Genome Variation Archive (HGVA) tackles these challenges and facilitates access to genomic data for key reference projects in a clean, fast and integrated fashion. HGVA provides an efficient and intuitive web-interface for easy data mining, a comprehensive RESTful API and client libraries in Python, Java and JavaScript for fast programmatic access to its knowledge base. HGVA calculates population frequencies for these projects and enriches their data with variant annotation provided by CellBase, a rich and fast annotation solution. HGVA serves as a proof-of-concept of the genome analysis developments being carried out by the University of Cambridge together with UK's 100 000 genomes project and the National Institute for Health Research BioResource Rare-Diseases, in particular, deploying open-source for Computational Biology (OpenCB) software platform for storing and analyzing massive genomic datasets. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  1. Genome-wide DNA polymorphism analyses using VariScan

    Directory of Open Access Journals (Sweden)

    Vilella Albert J

    2006-09-01

    Full Text Available Abstract Background DNA sequence polymorphisms analysis can provide valuable information on the evolutionary forces shaping nucleotide variation, and provides an insight into the functional significance of genomic regions. The recent ongoing genome projects will radically improve our capabilities to detect specific genomic regions shaped by natural selection. Current available methods and software, however, are unsatisfactory for such genome-wide analysis. Results We have developed methods for the analysis of DNA sequence polymorphisms at the genome-wide scale. These methods, which have been tested on a coalescent-simulated and actual data files from mouse and human, have been implemented in the VariScan software package version 2.0. Additionally, we have also incorporated a graphical-user interface. The main features of this software are: i exhaustive population-genetic analyses including those based on the coalescent theory; ii analysis adapted to the shallow data generated by the high-throughput genome projects; iii use of genome annotations to conduct a comprehensive analyses separately for different functional regions; iv identification of relevant genomic regions by the sliding-window and wavelet-multiresolution approaches; v visualization of the results integrated with current genome annotations in commonly available genome browsers. Conclusion VariScan is a powerful and flexible suite of software for the analysis of DNA polymorphisms. The current version implements new algorithms, methods, and capabilities, providing an important tool for an exhaustive exploratory analysis of genome-wide DNA polymorphism data.

  2. Genomes to Proteomes

    Energy Technology Data Exchange (ETDEWEB)

    Panisko, Ellen A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Grigoriev, Igor [USDOE Joint Genome Inst., Walnut Creek, CA (United States); Daly, Don S. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Webb-Robertson, Bobbie-Jo [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Baker, Scott E. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2009-03-01

    Biologists are awash with genomic sequence data. In large part, this is due to the rapid acceleration in the generation of DNA sequence that occurred as public and private research institutes raced to sequence the human genome. In parallel with the large human genome effort, mostly smaller genomes of other important model organisms were sequenced. Projects following on these initial efforts have made use of technological advances and the DNA sequencing infrastructure that was built for the human and other organism genome projects. As a result, the genome sequences of many organisms are available in high quality draft form. While in many ways this is good news, there are limitations to the biological insights that can be gleaned from DNA sequences alone; genome sequences offer only a bird's eye view of the biological processes endemic to an organism or community. Fortunately, the genome sequences now being produced at such a high rate can serve as the foundation for other global experimental platforms such as proteomics. Proteomic methods offer a snapshot of the proteins present at a point in time for a given biological sample. Current global proteomics methods combine enzymatic digestion, separations, mass spectrometry and database searching for peptide identification. One key aspect of proteomics is the prediction of peptide sequences from mass spectrometry data. Global proteomic analysis uses computational matching of experimental mass spectra with predicted spectra based on databases of gene models that are often generated computationally. Thus, the quality of gene models predicted from a genome sequence is crucial in the generation of high quality peptide identifications. Once peptides are identified they can be assigned to their parent protein. Proteins identified as expressed in a given experiment are most useful when compared to other expressed proteins in a larger biological context or biochemical pathway. In this chapter we will discuss the automatic

  3. Online Catalogs and Their Users.

    Science.gov (United States)

    Broadus, Robert N.

    1983-01-01

    Review of research on online public access catalogs sponsored by Council on Library Resources notes the scope and method (questionnaires administered to catalog users and nonusers in 29 participating institutions) and findings and applications (including organizational setting and computer system, catalog use and satisfaction, and implications).…

  4. Enterprise System Adaptation: a Combination of Institutional Structures and Sensemaking Processes

    DEFF Research Database (Denmark)

    Svejvig, Per; Jensen, Tina Blegind

    2009-01-01

    In this paper we set out to investigate how an Enterprise System (ES) adaptation in a Scandinavian high-tech organization, SCANDI, can be understood using a combination of institutional and sensemaking theory. Institutional theory is useful in providing an account for the role that the social...... and historical structures play in ES adaptations, and sensemaking can help us investigate how organizational members make sense of and enact ES in their local context. Based on an analytical framework, where we combine institutional theory and sensemaking theory to provide rich insights into ES adaptation, we...... show: 1) how changing institutional structures provide a shifting context for the way users make sense of and enact ES, 2) how users' sensemaking processes of the ES are played out in practice, and 3) how sensemaking reinforces institutional structures....

  5. Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX

    DEFF Research Database (Denmark)

    Schubert, Mikkel; Ermini, Luca; Der Sarkissian, Clio

    2014-01-01

    a variety of computational tools. Here we present PALEOMIX (http://geogenetics.ku.dk/publications/paleomix), a flexible and user-friendly pipeline applicable to both modern and ancient genomes, which largely automates the in silico analyses behind whole-genome resequencing. Starting with next...

  6. Health behavior change: can genomics improve behavioral adherence?

    Science.gov (United States)

    McBride, Colleen M; Bryan, Angela D; Bray, Molly S; Swan, Gary E; Green, Eric D

    2012-03-01

    The National Human Genome Research Institute recommends pursuing "genomic information to improve behavior change interventions" as part of its strategic vision for genomics. The limited effectiveness of current behavior change strategies may be explained, in part, by their insensitivity to individual variation in adherence responses. The first step in evaluating whether genomics can inform customization of behavioral recommendations is evidence reviews to identify adherence macrophenotypes common across behaviors and individuals that have genetic underpinnings. Conceptual models of how biological, psychological, and environmental factors influence adherence also are needed. Researchers could routinely collect biospecimens and standardized adherence measurements of intervention participants to enable understanding of genetic and environmental influences on adherence, to guide intervention customization and prospective comparative effectiveness studies.

  7. The Epilepsy Phenome/Genome Project (EPGP) informatics platform.

    Science.gov (United States)

    Nesbitt, Gerry; McKenna, Kevin; Mays, Vickie; Carpenter, Alan; Miller, Kevin; Williams, Michael

    2013-04-01

    The Epilepsy Phenome/Genome Project (EPGP) is a large-scale, multi-institutional, collaborative network of 27 epilepsy centers throughout the U.S., Australia, and Argentina, with the objective of collecting detailed phenotypic and genetic data on a large number of epilepsy participants. The goals of EPGP are (1) to perform detailed phenotyping on 3750 participants with specific forms of non-acquired epilepsy and 1500 parents without epilepsy, (2) to obtain DNA samples on these individuals, and (3) to ultimately genotype the samples in order to discover novel genes that cause epilepsy. To carry out the project, a reliable and robust informatics platform was needed for standardized electronic data collection and storage, data quality review, and phenotypic analysis involving cases from multiple sites. EPGP developed its own suite of web-based informatics applications for participant tracking, electronic data collection (using electronic case report forms/surveys), data management, phenotypic data review and validation, specimen tracking, electroencephalograph and neuroimaging storage, and issue tracking. We implemented procedures to train and support end-users at each clinical site. Thus far, 3780 study participants have been enrolled and 20,957 web-based study activities have been completed using this informatics platform. Over 95% of respondents to an end-user satisfaction survey felt that the informatics platform was successful almost always or most of the time. The EPGP informatics platform has successfully and effectively allowed study management and efficient and reliable collection of phenotypic data. Our novel informatics platform met the requirements of a large, multicenter research project. The platform has had a high level of end-user acceptance by principal investigators and study coordinators, and can serve as a model for new tools to support future large scale, collaborative research projects collecting extensive phenotypic data. Copyright © 2012

  8. GEnomes Management Application (GEM.app): a new software tool for large-scale collaborative genome analysis.

    Science.gov (United States)

    Gonzalez, Michael A; Lebrigio, Rafael F Acosta; Van Booven, Derek; Ulloa, Rick H; Powell, Eric; Speziani, Fiorella; Tekin, Mustafa; Schüle, Rebecca; Züchner, Stephan

    2013-06-01

    Novel genes are now identified at a rapid pace for many Mendelian disorders, and increasingly, for genetically complex phenotypes. However, new challenges have also become evident: (1) effectively managing larger exome and/or genome datasets, especially for smaller labs; (2) direct hands-on analysis and contextual interpretation of variant data in large genomic datasets; and (3) many small and medium-sized clinical and research-based investigative teams around the world are generating data that, if combined and shared, will significantly increase the opportunities for the entire community to identify new genes. To address these challenges, we have developed GEnomes Management Application (GEM.app), a software tool to annotate, manage, visualize, and analyze large genomic datasets (https://genomics.med.miami.edu/). GEM.app currently contains ∼1,600 whole exomes from 50 different phenotypes studied by 40 principal investigators from 15 different countries. The focus of GEM.app is on user-friendly analysis for nonbioinformaticians to make next-generation sequencing data directly accessible. Yet, GEM.app provides powerful and flexible filter options, including single family filtering, across family/phenotype queries, nested filtering, and evaluation of segregation in families. In addition, the system is fast, obtaining results within 4 sec across ∼1,200 exomes. We believe that this system will further enhance identification of genetic causes of human disease. © 2013 Wiley Periodicals, Inc.

  9. BioSMACK: a linux live CD for genome-wide association analyses.

    Science.gov (United States)

    Hong, Chang Bum; Kim, Young Jin; Moon, Sanghoon; Shin, Young-Ah; Go, Min Jin; Kim, Dong-Joon; Lee, Jong-Young; Cho, Yoon Shin

    2012-01-01

    Recent advances in high-throughput genotyping technologies have enabled us to conduct a genome-wide association study (GWAS) on a large cohort. However, analyzing millions of single nucleotide polymorphisms (SNPs) is still a difficult task for researchers conducting a GWAS. Several difficulties such as compatibilities and dependencies are often encountered by researchers using analytical tools, during the installation of software. This is a huge obstacle to any research institute without computing facilities and specialists. Therefore, a proper research environment is an urgent need for researchers working on GWAS. We developed BioSMACK to provide a research environment for GWAS that requires no configuration and is easy to use. BioSMACK is based on the Ubuntu Live CD that offers a complete Linux-based operating system environment without installation. Moreover, we provide users with a GWAS manual consisting of a series of guidelines for GWAS and useful examples. BioSMACK is freely available at http://ksnp.cdc. go.kr/biosmack.

  10. Nonaffiliated Users in Academic Libraries: Using W.D. Ross's Ethical Pluralism to Make Sense of the Tough Questions

    Science.gov (United States)

    Lenker, Mark; Kocevar-Weidinger, Elizabeth

    2010-01-01

    Though the academic library's primary mission is to serve the students, faculty, and staff of its parent institution, would-be users not officially associated with the institution frequently call upon the library to provide services and/or resources. Requests by these nonaffiliated users (sometimes called community users) pose a moral quandary for…

  11. Heuristics of the algorithm: Big Data, user interpretation and institutional translation

    Directory of Open Access Journals (Sweden)

    Göran Bolin

    2015-10-01

    Full Text Available Intelligence on mass media audiences was founded on representative statistical samples, analysed by statisticians at the market departments of media corporations. The techniques for aggregating user data in the age of pervasive and ubiquitous personal media (e.g. laptops, smartphones, credit cards/swipe cards and radio-frequency identification build on large aggregates of information (Big Data analysed by algorithms that transform data into commodities. While the former technologies were built on socio-economic variables such as age, gender, ethnicity, education, media preferences (i.e. categories recognisable to media users and industry representatives alike, Big Data technologies register consumer choice, geographical position, web movement, and behavioural information in technologically complex ways that for most lay people are too abstract to appreciate the full consequences of. The data mined for pattern recognition privileges relational rather than demographic qualities. We argue that the agency of interpretation at the bottom of market decisions within media companies nevertheless introduces a ‘heuristics of the algorithm’, where the data inevitably becomes translated into social categories. In the paper we argue that although the promise of algorithmically generated data is often implemented in automated systems where human agency gets increasingly distanced from the data collected (it is our technological gadgets that are being surveyed, rather than us as social beings, one can observe a felt need among media users and among industry actors to ‘translate back’ the algorithmically produced relational statistics into ‘traditional’ social parameters. The tenacious social structures within the advertising industries work against the techno-economically driven tendencies within the Big Data economy.

  12. Small genomes and large seeds: chromosome numbers, genome size and seed mass in diploid Aesculus species (Sapindaceae)

    Czech Academy of Sciences Publication Activity Database

    Krahulcová, Anna; Trávníček, Pavel; Krahulec, František; Rejmánek, M.

    2017-01-01

    Roč. 119, č. 6 (2017), s. 957-964 ISSN 0305-7364 Institutional support: RVO:67985939 Keywords : Aesculus * chromosome number * genome size * phylogeny * seed mass Subject RIV: EF - Botanics OBOR OECD: Plant sciences, botany Impact factor: 4.041, year: 2016

  13. eXframe: reusable framework for storage, analysis and visualization of genomics experiments

    Directory of Open Access Journals (Sweden)

    Sinha Amit U

    2011-11-01

    Full Text Available Abstract Background Genome-wide experiments are routinely conducted to measure gene expression, DNA-protein interactions and epigenetic status. Structured metadata for these experiments is imperative for a complete understanding of experimental conditions, to enable consistent data processing and to allow retrieval, comparison, and integration of experimental results. Even though several repositories have been developed for genomics data, only a few provide annotation of samples and assays using controlled vocabularies. Moreover, many of them are tailored for a single type of technology or measurement and do not support the integration of multiple data types. Results We have developed eXframe - a reusable web-based framework for genomics experiments that provides 1 the ability to publish structured data compliant with accepted standards 2 support for multiple data types including microarrays and next generation sequencing 3 query, analysis and visualization integration tools (enabled by consistent processing of the raw data and annotation of samples and is available as open-source software. We present two case studies where this software is currently being used to build repositories of genomics experiments - one contains data from hematopoietic stem cells and another from Parkinson's disease patients. Conclusion The web-based framework eXframe offers structured annotation of experiments as well as uniform processing and storage of molecular data from microarray and next generation sequencing platforms. The framework allows users to query and integrate information across species, technologies, measurement types and experimental conditions. Our framework is reusable and freely modifiable - other groups or institutions can deploy their own custom web-based repositories based on this software. It is interoperable with the most important data formats in this domain. We hope that other groups will not only use eXframe, but also contribute their own

  14. The NCI Genomic Data Commons as an engine for precision medicine.

    Science.gov (United States)

    Jensen, Mark A; Ferretti, Vincent; Grossman, Robert L; Staudt, Louis M

    2017-07-27

    The National Cancer Institute Genomic Data Commons (GDC) is an information system for storing, analyzing, and sharing genomic and clinical data from patients with cancer. The recent high-throughput sequencing of cancer genomes and transcriptomes has produced a big data problem that precludes many cancer biologists and oncologists from gleaning knowledge from these data regarding the nature of malignant processes and the relationship between tumor genomic profiles and treatment response. The GDC aims to democratize access to cancer genomic data and to foster the sharing of these data to promote precision medicine approaches to the diagnosis and treatment of cancer.

  15. Reefgenomics.Org - a repository for marine genomics data

    KAUST Repository

    Liew, Yi Jin

    2016-11-01

    Over the last decade, technological advancements have substantially decreased the cost and time of obtaining large amounts of sequencing data. Paired with the exponentially increased computing power, individual labs are now able to sequence genomes or transcriptomes to investigate biological questions of interest. This has led to a significant increase in available sequence data. Although the bulk of data published in articles are stored in public sequence databases, very often, only raw sequencing data are available; miscellaneous data such as assembled transcriptomes, genome annotations etc. are not easily obtainable through the same means. Here, we introduce our website (http://reefgenomics.org) that aims to centralize genomic and transcriptomic data from marine organisms. Besides providing convenient means to download sequences, we provide (where applicable) a genome browser to explore available genomic features, and a BLAST interface to search through the hosted sequences. Through the interface, multiple datasets can be queried simultaneously, allowing for the retrieval of matching sequences from organisms of interest. The minimalistic, no-frills interface reduces visual clutter, making it convenient for end-users to search and explore processed sequence data.

  16. Reefgenomics.Org - a repository for marine genomics data

    KAUST Repository

    Liew, Yi Jin; Aranda, Manuel; Voolstra, Christian R.

    2016-01-01

    Over the last decade, technological advancements have substantially decreased the cost and time of obtaining large amounts of sequencing data. Paired with the exponentially increased computing power, individual labs are now able to sequence genomes or transcriptomes to investigate biological questions of interest. This has led to a significant increase in available sequence data. Although the bulk of data published in articles are stored in public sequence databases, very often, only raw sequencing data are available; miscellaneous data such as assembled transcriptomes, genome annotations etc. are not easily obtainable through the same means. Here, we introduce our website (http://reefgenomics.org) that aims to centralize genomic and transcriptomic data from marine organisms. Besides providing convenient means to download sequences, we provide (where applicable) a genome browser to explore available genomic features, and a BLAST interface to search through the hosted sequences. Through the interface, multiple datasets can be queried simultaneously, allowing for the retrieval of matching sequences from organisms of interest. The minimalistic, no-frills interface reduces visual clutter, making it convenient for end-users to search and explore processed sequence data.

  17. Freedom and Responsibility in Synthetic Genomics: The Synthetic Yeast Project

    OpenAIRE

    Sliva, Anna; Yang, Huanming; Boeke, Jef D.; Mathews, Debra J. H.

    2015-01-01

    First introduced in 2011, the Synthetic Yeast Genome (Sc2.0) Project is a large international synthetic genomics project that will culminate in the first eukaryotic cell (Saccharomyces cerevisiae) with a fully synthetic genome. With collaborators from across the globe and from a range of institutions spanning from do-it-yourself biology (DIYbio) to commercial enterprises, it is important that all scientists working on this project are cognizant of the ethical and policy issues associated with...

  18. Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud.

    Directory of Open Access Journals (Sweden)

    Enis Afgan

    Full Text Available Analyzing high throughput genomics data is a complex and compute intensive task, generally requiring numerous software tools and large reference data sets, tied together in successive stages of data transformation and visualisation. A computational platform enabling best practice genomics analysis ideally meets a number of requirements, including: a wide range of analysis and visualisation tools, closely linked to large user and reference data sets; workflow platform(s enabling accessible, reproducible, portable analyses, through a flexible set of interfaces; highly available, scalable computational resources; and flexibility and versatility in the use of these resources to meet demands and expertise of a variety of users. Access to an appropriate computational platform can be a significant barrier to researchers, as establishing such a platform requires a large upfront investment in hardware, experience, and expertise.We designed and implemented the Genomics Virtual Laboratory (GVL as a middleware layer of machine images, cloud management tools, and online services that enable researchers to build arbitrarily sized compute clusters on demand, pre-populated with fully configured bioinformatics tools, reference datasets and workflow and visualisation options. The platform is flexible in that users can conduct analyses through web-based (Galaxy, RStudio, IPython Notebook or command-line interfaces, and add/remove compute nodes and data resources as required. Best-practice tutorials and protocols provide a path from introductory training to practice. The GVL is available on the OpenStack-based Australian Research Cloud (http://nectar.org.au and the Amazon Web Services cloud. The principles, implementation and build process are designed to be cloud-agnostic.This paper provides a blueprint for the design and implementation of a cloud-based Genomics Virtual Laboratory. We discuss scope, design considerations and technical and logistical constraints

  19. Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud.

    Science.gov (United States)

    Afgan, Enis; Sloggett, Clare; Goonasekera, Nuwan; Makunin, Igor; Benson, Derek; Crowe, Mark; Gladman, Simon; Kowsar, Yousef; Pheasant, Michael; Horst, Ron; Lonie, Andrew

    2015-01-01

    Analyzing high throughput genomics data is a complex and compute intensive task, generally requiring numerous software tools and large reference data sets, tied together in successive stages of data transformation and visualisation. A computational platform enabling best practice genomics analysis ideally meets a number of requirements, including: a wide range of analysis and visualisation tools, closely linked to large user and reference data sets; workflow platform(s) enabling accessible, reproducible, portable analyses, through a flexible set of interfaces; highly available, scalable computational resources; and flexibility and versatility in the use of these resources to meet demands and expertise of a variety of users. Access to an appropriate computational platform can be a significant barrier to researchers, as establishing such a platform requires a large upfront investment in hardware, experience, and expertise. We designed and implemented the Genomics Virtual Laboratory (GVL) as a middleware layer of machine images, cloud management tools, and online services that enable researchers to build arbitrarily sized compute clusters on demand, pre-populated with fully configured bioinformatics tools, reference datasets and workflow and visualisation options. The platform is flexible in that users can conduct analyses through web-based (Galaxy, RStudio, IPython Notebook) or command-line interfaces, and add/remove compute nodes and data resources as required. Best-practice tutorials and protocols provide a path from introductory training to practice. The GVL is available on the OpenStack-based Australian Research Cloud (http://nectar.org.au) and the Amazon Web Services cloud. The principles, implementation and build process are designed to be cloud-agnostic. This paper provides a blueprint for the design and implementation of a cloud-based Genomics Virtual Laboratory. We discuss scope, design considerations and technical and logistical constraints, and explore the

  20. PanCoreGen - Profiling, detecting, annotating protein-coding genes in microbial genomes.

    Science.gov (United States)

    Paul, Sandip; Bhardwaj, Archana; Bag, Sumit K; Sokurenko, Evgeni V; Chattopadhyay, Sujay

    2015-12-01

    A large amount of genomic data, especially from multiple isolates of a single species, has opened new vistas for microbial genomics analysis. Analyzing the pan-genome (i.e. the sum of genetic repertoire) of microbial species is crucial in understanding the dynamics of molecular evolution, where virulence evolution is of major interest. Here we present PanCoreGen - a standalone application for pan- and core-genomic profiling of microbial protein-coding genes. PanCoreGen overcomes key limitations of the existing pan-genomic analysis tools, and develops an integrated annotation-structure for a species-specific pan-genomic profile. It provides important new features for annotating draft genomes/contigs and detecting unidentified genes in annotated genomes. It also generates user-defined group-specific datasets within the pan-genome. Interestingly, analyzing an example-set of Salmonella genomes, we detect potential footprints of adaptive convergence of horizontally transferred genes in two human-restricted pathogenic serovars - Typhi and Paratyphi A. Overall, PanCoreGen represents a state-of-the-art tool for microbial phylogenomics and pathogenomics study. Copyright © 2015 Elsevier Inc. All rights reserved.

  1. Enlisting User Community Perspectives to Inform Development of a Semantic Web Application for Discovery of Cross-Institutional Research Information and Data

    Science.gov (United States)

    Johns, E. M.; Mayernik, M. S.; Boler, F. M.; Corson-Rikert, J.; Daniels, M. D.; Gross, M. B.; Khan, H.; Maull, K. E.; Rowan, L. R.; Stott, D.; Williams, S.; Krafft, D. B.

    2015-12-01

    Researchers seek information and data through a variety of avenues: published literature, search engines, repositories, colleagues, etc. In order to build a web application that leverages linked open data to enable multiple paths for information discovery, the EarthCollab project has surveyed two geoscience user communities to consider how researchers find and share scholarly output. EarthCollab, a cross-institutional, EarthCube funded project partnering UCAR, Cornell University, and UNAVCO, is employing the open-source semantic web software, VIVO, as the underlying technology to connect the people and resources of virtual research communities. This study will present an analysis of survey responses from members of the two case study communities: (1) the Bering Sea Project, an interdisciplinary field program whose data archive is hosted by NCAR's Earth Observing Laboratory (EOL), and (2) UNAVCO, a geodetic facility and consortium that supports diverse research projects informed by geodesy. The survey results illustrate the types of research products that respondents indicate should be discoverable within a digital platform and the current methods used to find publications, data, personnel, tools, and instrumentation. The responses showed that scientists rely heavily on general purpose search engines, such as Google, to find information, but that data center websites and the published literature were also critical sources for finding collaborators, data, and research tools.The survey participants also identify additional features of interest for an information platform such as search engine indexing, connection to institutional web pages, generation of bibliographies and CVs, and outward linking to social media. Through the survey, the user communities prioritized the type of information that is most important to display and describe their work within a research profile. The analysis of this survey will inform our further development of a platform that will

  2. KGCAK: a K-mer based database for genome-wide phylogeny and complexity evaluation.

    Science.gov (United States)

    Wang, Dapeng; Xu, Jiayue; Yu, Jun

    2015-09-16

    The K-mer approach, treating genomic sequences as simple characters and counting the relative abundance of each string upon a fixed K, has been extensively applied to phylogeny inference for genome assembly, annotation, and comparison. To meet increasing demands for comparing large genome sequences and to promote the use of the K-mer approach, we develop a versatile database, KGCAK ( http://kgcak.big.ac.cn/KGCAK/ ), containing ~8,000 genomes that include genome sequences of diverse life forms (viruses, prokaryotes, protists, animals, and plants) and cellular organelles of eukaryotic lineages. It builds phylogeny based on genomic elements in an alignment-free fashion and provides in-depth data processing enabling users to compare the complexity of genome sequences based on K-mer distribution. We hope that KGCAK becomes a powerful tool for exploring relationship within and among groups of species in a tree of life based on genomic data.

  3. Fungal genome resources at NCBI

    Science.gov (United States)

    Robbertse, B.; Tatusova, T.

    2011-01-01

    The National Center for Biotechnology Information (NCBI) is well known for the nucleotide sequence archive, GenBank and sequence analysis tool BLAST. However, NCBI integrates many types of biomolecular data from variety of sources and makes it available to the scientific community as interactive web resources as well as organized releases of bulk data. These tools are available to explore and compare fungal genomes. Searching all databases with Fungi [organism] at http://www.ncbi.nlm.nih.gov/ is the quickest way to find resources of interest with fungal entries. Some tools though are resources specific and can be indirectly accessed from a particular database in the Entrez system. These include graphical viewers and comparative analysis tools such as TaxPlot, TaxMap and UniGene DDD (found via UniGene Homepage). Gene and BioProject pages also serve as portals to external data such as community annotation websites, BioGrid and UniProt. There are many different ways of accessing genomic data at NCBI. Depending on the focus and goal of research projects or the level of interest, a user would select a particular route for accessing genomic databases and resources. This review article describes methods of accessing fungal genome data and provides examples that illustrate the use of analysis tools. PMID:22737589

  4. Prediction in medicine – genome contra envirome

    Czech Academy of Sciences Publication Activity Database

    Brdička, Radim

    2012-01-01

    Roč. 151, č. 1 (2012), s. 22-25 ISSN 0008-7335 R&D Projects: GA MZd NS9804 Institutional research plan: CEZ:AV0Z50390703 Keywords : genome * genotype * phenotype Subject RIV: FP - Other Medical Disciplines

  5. GAViT: Genome Assembly Visualization Tool for Short Read Data

    Energy Technology Data Exchange (ETDEWEB)

    Syed, Aijazuddin; Shapiro, Harris; Tu, Hank; Pangilinan, Jasmyn; Trong, Stephan

    2008-03-14

    It is a challenging job for genome analysts to accurately debug, troubleshoot, and validate genome assembly results. Genome analysts rely on visualization tools to help validate and troubleshoot assembly results, including such problems as mis-assemblies, low-quality regions, and repeats. Short read data adds further complexity and makes it extremely challenging for the visualization tools to scale and to view all needed assembly information. As a result, there is a need for a visualization tool that can scale to display assembly data from the new sequencing technologies. We present Genome Assembly Visualization Tool (GAViT), a highly scalable and interactive assembly visualization tool developed at the DOE Joint Genome Institute (JGI).

  6. The Genomes OnLine Database (GOLD) v.5: a metadata management system based on a four level (meta)genome project classification

    Science.gov (United States)

    Reddy, T.B.K.; Thomas, Alex D.; Stamatis, Dimitri; Bertsch, Jon; Isbandi, Michelle; Jansson, Jakob; Mallajosyula, Jyothi; Pagani, Ioanna; Lobos, Elizabeth A.; Kyrpides, Nikos C.

    2015-01-01

    The Genomes OnLine Database (GOLD; http://www.genomesonline.org) is a comprehensive online resource to catalog and monitor genetic studies worldwide. GOLD provides up-to-date status on complete and ongoing sequencing projects along with a broad array of curated metadata. Here we report version 5 (v.5) of the database. The newly designed database schema and web user interface supports several new features including the implementation of a four level (meta)genome project classification system and a simplified intuitive web interface to access reports and launch search tools. The database currently hosts information for about 19 200 studies, 56 000 Biosamples, 56 000 sequencing projects and 39 400 analysis projects. More than just a catalog of worldwide genome projects, GOLD is a manually curated, quality-controlled metadata warehouse. The problems encountered in integrating disparate and varying quality data into GOLD are briefly highlighted. GOLD fully supports and follows the Genomic Standards Consortium (GSC) Minimum Information standards. PMID:25348402

  7. The Genomes OnLine Database (GOLD) v.5: a metadata management system based on a four level (meta)genome project classification

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, Tatiparthi B. K. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Thomas, Alex D. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Stamatis, Dimitri [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Bertsch, Jon [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Isbandi, Michelle [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Jansson, Jakob [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Mallajosyula, Jyothi [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Pagani, Ioanna [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Lobos, Elizabeth A. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Kyrpides, Nikos C. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); King Abdulaziz Univ., Jeddah (Saudi Arabia)

    2014-10-27

    The Genomes OnLine Database (GOLD; http://www.genomesonline.org) is a comprehensive online resource to catalog and monitor genetic studies worldwide. GOLD provides up-to-date status on complete and ongoing sequencing projects along with a broad array of curated metadata. Within this paper, we report version 5 (v.5) of the database. The newly designed database schema and web user interface supports several new features including the implementation of a four level (meta)genome project classification system and a simplified intuitive web interface to access reports and launch search tools. The database currently hosts information for about 19 200 studies, 56 000 Biosamples, 56 000 sequencing projects and 39 400 analysis projects. More than just a catalog of worldwide genome projects, GOLD is a manually curated, quality-controlled metadata warehouse. The problems encountered in integrating disparate and varying quality data into GOLD are briefly highlighted. Lastly, GOLD fully supports and follows the Genomic Standards Consortium (GSC) Minimum Information standards.

  8. FULIR Full-text Institutional Repository of the Ruđer Bošković Institute

    Directory of Open Access Journals (Sweden)

    Macan, B.

    2014-11-01

    Full Text Available Institutional repositories are online platforms for gathering, archiving, dissemination and long-term preservation of an institution’s scientific output. Archiving full-text papers into the institutional and other open access repositories (OAR is one way of achieving open access to scientific informa tion, the so-called “green” OA. In 2006 the idea of implementing an institutional repository at the Ruđer Bošković Institute Library was initiated and one year later, the project had started, parallel with the subproject of digitizing RBI’s documentary materials. 4 Various open source solutions were tested, among which EPrints software was chosen as the most suitable to RBI’s needs. The first documents were archived in March 2011, and on October 18, 2012, the official version of the repository was published under the name Full-text Institutional Repository of the Ruđer Bošković Institute – FULIR. The goal of FULIR is to gather, archive, disseminate and preserve, for the long term, the whole scientific production and documentary materials of the Institute in digital form, as well as provide open access to archived materials where possible. It is possible to archive all kinds of materials in FULIR, such as articles published in journals, conference proceedings, books, book chapters, dissertations, but also various kinds of unpublished materials such as posters and presentations from conferences or lectures, reports, audio and video records and datasets. FULIR is based on the principle that the scientists themselves archive their materials, but in this initial phase, the librarians are also assisting the scientists in archiving new items. The repository allows different access rights to archived materials and a depositor may define to whom (all users/only registered users (RBI staff/only repository administrators, and when (immediately or after a cer tain embargo period full-texts of archived materials will be available. Repository

  9. Charging Users for Library Service.

    Science.gov (United States)

    Cooper, Michael D.

    1978-01-01

    Examines the question of instituting direct charges for library service, using on-line bibliographic searching as an example, and contrasts this with the current indirect charging system where services are paid for by taxes. Information, as a merit good, should be supplied with or without direct charges, depending upon user status. (CWM)

  10. GeneViTo: Visualizing gene-product functional and structural features in genomic datasets

    Directory of Open Access Journals (Sweden)

    Promponas Vasilis J

    2003-10-01

    Full Text Available Abstract Background The availability of increasing amounts of sequence data from completely sequenced genomes boosts the development of new computational methods for automated genome annotation and comparative genomics. Therefore, there is a need for tools that facilitate the visualization of raw data and results produced by bioinformatics analysis, providing new means for interactive genome exploration. Visual inspection can be used as a basis to assess the quality of various analysis algorithms and to aid in-depth genomic studies. Results GeneViTo is a JAVA-based computer application that serves as a workbench for genome-wide analysis through visual interaction. The application deals with various experimental information concerning both DNA and protein sequences (derived from public sequence databases or proprietary data sources and meta-data obtained by various prediction algorithms, classification schemes or user-defined features. Interaction with a Graphical User Interface (GUI allows easy extraction of genomic and proteomic data referring to the sequence itself, sequence features, or general structural and functional features. Emphasis is laid on the potential comparison between annotation and prediction data in order to offer a supplement to the provided information, especially in cases of "poor" annotation, or an evaluation of available predictions. Moreover, desired information can be output in high quality JPEG image files for further elaboration and scientific use. A compilation of properly formatted GeneViTo input data for demonstration is available to interested readers for two completely sequenced prokaryotes, Chlamydia trachomatis and Methanococcus jannaschii. Conclusions GeneViTo offers an inspectional view of genomic functional elements, concerning data stemming both from database annotation and analysis tools for an overall analysis of existing genomes. The application is compatible with Linux or Windows ME-2000-XP operating

  11. GenoSets: visual analytic methods for comparative genomics.

    Directory of Open Access Journals (Sweden)

    Aurora A Cain

    Full Text Available Many important questions in biology are, fundamentally, comparative, and this extends to our analysis of a growing number of sequenced genomes. Existing genomic analysis tools are often organized around literal views of genomes as linear strings. Even when information is highly condensed, these views grow cumbersome as larger numbers of genomes are added. Data aggregation and summarization methods from the field of visual analytics can provide abstracted comparative views, suitable for sifting large multi-genome datasets to identify critical similarities and differences. We introduce a software system for visual analysis of comparative genomics data. The system automates the process of data integration, and provides the analysis platform to identify and explore features of interest within these large datasets. GenoSets borrows techniques from business intelligence and visual analytics to provide a rich interface of interactive visualizations supported by a multi-dimensional data warehouse. In GenoSets, visual analytic approaches are used to enable querying based on orthology, functional assignment, and taxonomic or user-defined groupings of genomes. GenoSets links this information together with coordinated, interactive visualizations for both detailed and high-level categorical analysis of summarized data. GenoSets has been designed to simplify the exploration of multiple genome datasets and to facilitate reasoning about genomic comparisons. Case examples are included showing the use of this system in the analysis of 12 Brucella genomes. GenoSets software and the case study dataset are freely available at http://genosets.uncc.edu. We demonstrate that the integration of genomic data using a coordinated multiple view approach can simplify the exploration of large comparative genomic data sets, and facilitate reasoning about comparisons and features of interest.

  12. Stakeholder engagement: a key component of integrating genomic information into electronic health records.

    Science.gov (United States)

    Hartzler, Andrea; McCarty, Catherine A; Rasmussen, Luke V; Williams, Marc S; Brilliant, Murray; Bowton, Erica A; Clayton, Ellen Wright; Faucett, William A; Ferryman, Kadija; Field, Julie R; Fullerton, Stephanie M; Horowitz, Carol R; Koenig, Barbara A; McCormick, Jennifer B; Ralston, James D; Sanderson, Saskia C; Smith, Maureen E; Trinidad, Susan Brown

    2013-10-01

    Integrating genomic information into clinical care and the electronic health record can facilitate personalized medicine through genetically guided clinical decision support. Stakeholder involvement is critical to the success of these implementation efforts. Prior work on implementation of clinical information systems provides broad guidance to inform effective engagement strategies. We add to this evidence-based recommendations that are specific to issues at the intersection of genomics and the electronic health record. We describe stakeholder engagement strategies employed by the Electronic Medical Records and Genomics Network, a national consortium of US research institutions funded by the National Human Genome Research Institute to develop, disseminate, and apply approaches that combine genomic and electronic health record data. Through select examples drawn from sites of the Electronic Medical Records and Genomics Network, we illustrate a continuum of engagement strategies to inform genomic integration into commercial and homegrown electronic health records across a range of health-care settings. We frame engagement as activities to consult, involve, and partner with key stakeholder groups throughout specific phases of health information technology implementation. Our aim is to provide insights into engagement strategies to guide genomic integration based on our unique network experiences and lessons learned within the broader context of implementation research in biomedical informatics. On the basis of our collective experience, we describe key stakeholder practices, challenges, and considerations for successful genomic integration to support personalized medicine.

  13. BGI-RIS: an integrated information resource and comparative analysis workbench for rice genomics

    DEFF Research Database (Denmark)

    Zhao, Wenming; Wang, Jing; He, Ximiao

    2004-01-01

    Rice is a major food staple for the world's population and serves as a model species in cereal genome research. The Beijing Genomics Institute (BGI) has long been devoting itself to sequencing, information analysis and biological research of the rice and other crop genomes. In order to facilitate....... Designed as a basic platform, BGI-RIS presents the sequenced genomes and related information in systematic and graphical ways for the convenience of in-depth comparative studies (http://rise.genomics.org.cn/). Udgivelsesdato: 2004-Jan-1...

  14. 10KP: A phylodiverse genome sequencing plan.

    Science.gov (United States)

    Cheng, Shifeng; Melkonian, Michael; Smith, Stephen A; Brockington, Samuel; Archibald, John M; Delaux, Pierre-Marc; Li, Fay-Wei; Melkonian, Barbara; Mavrodiev, Evgeny V; Sun, Wenjing; Fu, Yuan; Yang, Huanming; Soltis, Douglas E; Graham, Sean W; Soltis, Pamela S; Liu, Xin; Xu, Xun; Wong, Gane Ka-Shu

    2018-03-01

    Understanding plant evolution and diversity in a phylogenomic context is an enormous challenge due, in part, to limited availability of genome-scale data across phylodiverse species. The 10KP (10,000 Plants) Genome Sequencing Project will sequence and characterize representative genomes from every major clade of embryophytes, green algae, and protists (excluding fungi) within the next 5 years. By implementing and continuously improving leading-edge sequencing technologies and bioinformatics tools, 10KP will catalogue the genome content of plant and protist diversity and make these data freely available as an enduring foundation for future scientific discoveries and applications. 10KP is structured as an international consortium, open to the global community, including botanical gardens, plant research institutes, universities, and private industry. Our immediate goal is to establish a policy framework for this endeavor, the principles of which are outlined here.

  15. 10KP: A phylodiverse genome sequencing plan

    Science.gov (United States)

    Cheng, Shifeng; Melkonian, Michael; Brockington, Samuel; Archibald, John M; Delaux, Pierre-Marc; Melkonian, Barbara; Mavrodiev, Evgeny V; Sun, Wenjing; Fu, Yuan; Yang, Huanming; Soltis, Douglas E; Graham, Sean W; Soltis, Pamela S; Liu, Xin; Xu, Xun

    2018-01-01

    Abstract Understanding plant evolution and diversity in a phylogenomic context is an enormous challenge due, in part, to limited availability of genome-scale data across phylodiverse species. The 10KP (10,000 Plants) Genome Sequencing Project will sequence and characterize representative genomes from every major clade of embryophytes, green algae, and protists (excluding fungi) within the next 5 years. By implementing and continuously improving leading-edge sequencing technologies and bioinformatics tools, 10KP will catalogue the genome content of plant and protist diversity and make these data freely available as an enduring foundation for future scientific discoveries and applications. 10KP is structured as an international consortium, open to the global community, including botanical gardens, plant research institutes, universities, and private industry. Our immediate goal is to establish a policy framework for this endeavor, the principles of which are outlined here. PMID:29618049

  16. Synergy between Medical Informatics and Bioinformatics: Facilitating Genomic Medicine for Future Health Care

    Czech Academy of Sciences Publication Activity Database

    Martin-Sanchez, F.; Iakovidis, I.; Norager, S.; Maojo, V.; de Groen, P.; Van der Lei, J.; Jones, T.; Abraham-Fuchs, K.; Apweiler, R.; Babic, A.; Baud, R.; Breton, V.; Cinquin, P.; Doupi, P.; Dugas, M.; Eils, R.; Engelbrecht, R.; Ghazal, P.; Jehenson, P.; Kulikowski, C.; Lampe, K.; De Moor, G.; Orphanoudakis, S.; Rossing, N.; Sarachan, B.; Sousa, A.; Spekowius, G.; Thireos, G.; Zahlmann, G.; Zvárová, Jana; Hermosilla, I.; Vicente, F. J.

    2004-01-01

    Roč. 37, - (2004), s. 30-42 ISSN 1532-0464 Institutional research plan: CEZ:AV0Z1030915 Keywords : bioinformatics * medical informatics * genomics * genomic medicine * biomedical informatics Subject RIV: BD - Theory of Information Impact factor: 1.013, year: 2004

  17. Facebook as a Surveillance Tool: From the Perspective of the User

    Directory of Open Access Journals (Sweden)

    Ekaterina Petrovna Netchitailova

    2012-09-01

    Full Text Available With the increasing use of online social networks such as Facebook in recent years, a lot of research has been focussing on the privacy issue of the network. The main question being asked is: how do users navigate their privacy on Facebook? While this research has been very important for the understanding of the privacy issue on Facebook, it also has the tendency to focus entirely on the user and look at personal information revelation, ignoring societal aspects, such as capitalism and the changing notion of privacy in the current society. Recently, there has been a new trend in studying privacy on Facebook - looking at Facebook as a surveillance tool and studying the privacy issue within the political economy of capitalism, led mainly by Christian Fuchs (2008, 2009, 2010, 2011. This research raises important questions as to what happens with our data and how Facebook uses its users. This paper looks at the perspective of the user by using the critical approach, or Critical Media and Communication Studies. The privacy in the age of the Internet can be described as either social or institutional (Raynes-Goldie 2010. The social focuses on the control of personal information, while the institutional focuses on the data usage by corporations, such as Facebook. By talking to different users about privacy, I was interested to learn what they think about both aspects of privacy. From my interviews it emerged that users care about both social and institutional privacy, but while, in most cases, they are quite aware, and concerned about the surveillance aspect of Facebook's usage, the benefits of using the network at this moment are too strong to either leave Facebook or switch to an alternative medium. There is a definite feeling among users, based on my interviews, that their options are limited, and more should be done to raise the level of knowledge among users about how they can better protect both their social and institutional privacy. We will

  18. Good practices for user effect reduction - Status Report

    International Nuclear Information System (INIS)

    Ashley, R.; El-Shanawany, M.; Eltawila, F.; D'Auria, F.

    1999-01-01

    User effect has been identified in previous CSNI activities since 1991. The present report has as objectives to outline the consideration given to the user effect problem by various concerned organisations, and to present a consensus about recommended practices for user effect reduction. A survey of relevant literature is summarised, together with the answers collected through the Task Group on Thermal Hydraulics Applications members about characteristics of overall safety analysis process including validation, safety culture, staffing levels, staff competencies and responsibilities, on the job training, required documentation, and quality assurance. An outline is given of the adequacy demonstration process to be undertaken by a code user, when the code is being used in new situations for which assessment has not been performed by the code developers or by other user groups. A list of fifteen recommendations is set up, dealing with organisation and responsibilities, build up of competence, checks and assessments, and uncertainties. In summary: this report provides a review and discussion of earlier work relevant to the user effect on the results of system codes transient analyses; responses to a questionnaire proposed by the OECD/CSNI Task Group on Thermal-Hydraulic Applications are considered, together with results of activities started in 1991 in the same CSNI context. Some recommendations aim at reducing the user effect. These recommendations are generally based on good common practices adopted by organisations involved in safety analyses. Some of the reasons for the user effect are mentioned in the report. Code deficiencies may be to blame in a number of cases; however, here the attention is focussed on the application of the code and not on improving of the code models. A critical aspect is the internal organisation of institutions performing system code applications; the engagement of permanent and hired staff has a role in the quality and reliability of

  19. MicroScope in 2017: an expanding and evolving integrated resource for community expertise of microbial genomes.

    Science.gov (United States)

    Vallenet, David; Calteau, Alexandra; Cruveiller, Stéphane; Gachet, Mathieu; Lajus, Aurélie; Josso, Adrien; Mercier, Jonathan; Renaux, Alexandre; Rollin, Johan; Rouy, Zoe; Roche, David; Scarpelli, Claude; Médigue, Claudine

    2017-01-04

    The annotation of genomes from NGS platforms needs to be automated and fully integrated. However, maintaining consistency and accuracy in genome annotation is a challenging problem because millions of protein database entries are not assigned reliable functions. This shortcoming limits the knowledge that can be extracted from genomes and metabolic models. Launched in 2005, the MicroScope platform (http://www.genoscope.cns.fr/agc/microscope) is an integrative resource that supports systematic and efficient revision of microbial genome annotation, data management and comparative analysis. Effective comparative analysis requires a consistent and complete view of biological data, and therefore, support for reviewing the quality of functional annotation is critical. MicroScope allows users to analyze microbial (meta)genomes together with post-genomic experiment results if any (i.e. transcriptomics, re-sequencing of evolved strains, mutant collections, phenotype data). It combines tools and graphical interfaces to analyze genomes and to perform the expert curation of gene functions in a comparative context. Starting with a short overview of the MicroScope system, this paper focuses on some major improvements of the Web interface, mainly for the submission of genomic data and on original tools and pipelines that have been developed and integrated in the platform: computation of pan-genomes and prediction of biosynthetic gene clusters. Today the resource contains data for more than 6000 microbial genomes, and among the 2700 personal accounts (65% of which are now from foreign countries), 14% of the users are performing expert annotations, on at least a weekly basis, contributing to improve the quality of microbial genome annotations. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  20. The Genomics Education Partnership: Successful Integration of Research into Laboratory Classes at a Diverse Group of Undergraduate Institutions

    Science.gov (United States)

    Shaffer, Christopher D.; Alvarez, Consuelo; Bailey, Cheryl; Barnard, Daron; Bhalla, Satish; Chandrasekaran, Chitra; Chandrasekaran, Vidya; Chung, Hui-Min; Dorer, Douglas R.; Du, Chunguang; Eckdahl, Todd T.; Poet, Jeff L.; Frohlich, Donald; Goodman, Anya L.; Gosser, Yuying; Hauser, Charles; Hoopes, Laura L.M.; Johnson, Diana; Jones, Christopher J.; Kaehler, Marian; Kokan, Nighat; Kopp, Olga R.; Kuleck, Gary A.; McNeil, Gerard; Moss, Robert; Myka, Jennifer L.; Nagengast, Alexis; Morris, Robert; Overvoorde, Paul J.; Shoop, Elizabeth; Parrish, Susan; Reed, Kelynne; Regisford, E. Gloria; Revie, Dennis; Rosenwald, Anne G.; Saville, Ken; Schroeder, Stephanie; Shaw, Mary; Skuse, Gary; Smith, Christopher; Smith, Mary; Spana, Eric P.; Spratt, Mary; Stamm, Joyce; Thompson, Jeff S.; Wawersik, Matthew; Wilson, Barbara A.; Youngblom, Jim; Leung, Wilson; Buhler, Jeremy; Mardis, Elaine R.; Lopatto, David

    2010-01-01

    Genomics is not only essential for students to understand biology but also provides unprecedented opportunities for undergraduate research. The goal of the Genomics Education Partnership (GEP), a collaboration between a growing number of colleges and universities around the country and the Department of Biology and Genome Center of Washington University in St. Louis, is to provide such research opportunities. Using a versatile curriculum that has been adapted to many different class settings, GEP undergraduates undertake projects to bring draft-quality genomic sequence up to high quality and/or participate in the annotation of these sequences. GEP undergraduates have improved more than 2 million bases of draft genomic sequence from several species of Drosophila and have produced hundreds of gene models using evidence-based manual annotation. Students appreciate their ability to make a contribution to ongoing research, and report increased independence and a more active learning approach after participation in GEP projects. They show knowledge gains on pre- and postcourse quizzes about genes and genomes and in bioinformatic analysis. Participating faculty also report professional gains, increased access to genomics-related technology, and an overall positive experience. We have found that using a genomics research project as the core of a laboratory course is rewarding for both faculty and students. PMID:20194808

  1. pico-PLAZA, a genome database of microbial photosynthetic eukaryotes.

    Science.gov (United States)

    Vandepoele, Klaas; Van Bel, Michiel; Richard, Guilhem; Van Landeghem, Sofie; Verhelst, Bram; Moreau, Hervé; Van de Peer, Yves; Grimsley, Nigel; Piganeau, Gwenael

    2013-08-01

    With the advent of next generation genome sequencing, the number of sequenced algal genomes and transcriptomes is rapidly growing. Although a few genome portals exist to browse individual genome sequences, exploring complete genome information from multiple species for the analysis of user-defined sequences or gene lists remains a major challenge. pico-PLAZA is a web-based resource (http://bioinformatics.psb.ugent.be/pico-plaza/) for algal genomics that combines different data types with intuitive tools to explore genomic diversity, perform integrative evolutionary sequence analysis and study gene functions. Apart from homologous gene families, multiple sequence alignments, phylogenetic trees, Gene Ontology, InterPro and text-mining functional annotations, different interactive viewers are available to study genome organization using gene collinearity and synteny information. Different search functions, documentation pages, export functions and an extensive glossary are available to guide non-expert scientists. To illustrate the versatility of the platform, different case studies are presented demonstrating how pico-PLAZA can be used to functionally characterize large-scale EST/RNA-Seq data sets and to perform environmental genomics. Functional enrichments analysis of 16 Phaeodactylum tricornutum transcriptome libraries offers a molecular view on diatom adaptation to different environments of ecological relevance. Furthermore, we show how complementary genomic data sources can easily be combined to identify marker genes to study the diversity and distribution of algal species, for example in metagenomes, or to quantify intraspecific diversity from environmental strains. © 2013 John Wiley & Sons Ltd and Society for Applied Microbiology.

  2. PanCoreGen – profiling, detecting, annotating protein-coding genes in microbial genomes

    Science.gov (United States)

    Bhardwaj, Archana; Bag, Sumit K; Sokurenko, Evgeni V.

    2015-01-01

    A large amount of genomic data, especially from multiple isolates of a single species, has opened new vistas for microbial genomics analysis. Analyzing pan-genome (i.e. the sum of genetic repertoire) of microbial species is crucial in understanding the dynamics of molecular evolution, where virulence evolution is of major interest. Here we present PanCoreGen – a standalone application for pan- and core-genomic profiling of microbial protein-coding genes. PanCoreGen overcomes key limitations of the existing pan-genomic analysis tools, and develops an integrated annotation-structure for species-specific pan-genomic profile. It provides important new features for annotating draft genomes/contigs and detecting unidentified genes in annotated genomes. It also generates user-defined group-specific datasets within the pan-genome. Interestingly, analyzing an example-set of Salmonella genomes, we detect potential footprints of adaptive convergence of horizontally transferred genes in two human-restricted pathogenic serovars – Typhi and Paratyphi A. Overall, PanCoreGen represents a state-of-the-art tool for microbial phylogenomics and pathogenomics study. PMID:26456591

  3. A chromosomal genomics approach to assess and validate the desi and kabuli draft chickpea genome assemblies

    Czech Academy of Sciences Publication Activity Database

    Ruperao, P.; Chan, C.K.K.; Azam, S.; Karafiátová, Miroslava; Hayashi, S.; Čížková, Jana; Šimková, Hana; Vrána, Jan; Doležel, Jaroslav; Varshney, R.K.; Edwards, D.

    2014-01-01

    Roč. 12, č. 6 (2014), s. 778-786 ISSN 1467-7644 R&D Projects: GA ČR GBP501/12/G090; GA MŠk(CZ) LO1204 Institutional support: RVO:61389030 Keywords : chickpea * genome assembly * cytogenetics Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 5.752, year: 2014

  4. Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks via a web interface

    Directory of Open Access Journals (Sweden)

    Bushell Michael E

    2011-05-01

    Full Text Available Abstract Background Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the genome. Recently, genome annotations have been used to reconstruct genome scale metabolic reaction networks for numerous species, including Homo sapiens, which allow simulations that provide valuable insights into topics, including predictions of gene essentiality of pathogens, interpretation of genetic polymorphism in metabolic disease syndromes and suggestions for novel approaches to microbial metabolic engineering. These constraint-based simulations are being integrated with the functional genomics portals, an activity that requires efficient implementation of the constraint-based simulations in the web-based environment. Results Here, we present Acorn, an open source (GNU GPL grid computing system for constraint-based simulations of genome scale metabolic reaction networks within an interactive web environment. The grid-based architecture allows efficient execution of computationally intensive, iterative protocols such as Flux Variability Analysis, which can be readily scaled up as the numbers of models (and users increase. The web interface uses AJAX, which facilitates efficient model browsing and other search functions, and intuitive implementation of appropriate simulation conditions. Research groups can install Acorn locally and create user accounts. Users can also import models in the familiar SBML format and link reaction formulas to major functional genomics portals of choice. Selected models and simulation results can be shared between different users and made publically available. Users can construct pathway map layouts and import them into the server using a desktop editor integrated within the system. Pathway maps are then used to visualise numerical results within the web environment. To illustrate these features we have deployed Acorn and created a

  5. Differential profiles of crack users in respondent-driven and institutional samples: a three-site comparison

    NARCIS (Netherlands)

    Oteo Pérez, A.; Benschop, A.; Korf, D.J.

    2012-01-01

    Background/Aim: Respondent-driven sampling (RDS) is increasingly applied in social epidemiological surveys among ‘hidden populations’ of hard drug users. The objective of the present study was to assess whether the profile of frequent crack users recruited through RDS differed from those surveyed in

  6. Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.

    Science.gov (United States)

    Huang, Shujun; Cai, Nianguang; Pacheco, Pedro Penzuti; Narrandes, Shavira; Wang, Yang; Xu, Wayne

    2018-01-01

    Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping. Today, as advancements in high-throughput technologies lead to production of large amounts of genomic and epigenomic data, the classification feature of SVMs is expanding its use in cancer genomics, leading to the discovery of new biomarkers, new drug targets, and a better understanding of cancer driver genes. Herein we reviewed the recent progress of SVMs in cancer genomic studies. We intend to comprehend the strength of the SVM learning and its future perspective in cancer genomic applications. Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

  7. Genomic repeat abundances contain phylogenetic signal

    Czech Academy of Sciences Publication Activity Database

    Dodsworth, S.; Chase, M.W.; Kelly, L.J.; Leitch, I.J.; Macas, Jiří; Novák, Petr; Piednoël, M.; Weiß-Schneeweiss, H.; Leitch, A.R.

    2015-01-01

    Roč. 64, č. 1 (2015), s. 112-126 ISSN 1063-5157 R&D Projects: GA ČR GBP501/12/G090 Institutional support: RVO:60077344 Keywords : Repetitive DNA * continuous characters * genomics * next-generation sequencing * phylogenetics Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 8.225, year: 2015

  8. Korean WA-DGNSS User Segment Software Design

    Directory of Open Access Journals (Sweden)

    Sayed Chhattan Shah

    2013-03-01

    Full Text Available Korean WA-DGNSS is a large scale research project funded by Ministry of Land, Transport and Maritime Affairs Korea. It aims to augment the Global Navigation Satellite System by broadcasting additional signals from geostationary satellites and providing differential correction messages and integrity data for the GNSS satellites. The project is being carried out by a consortium of universities and research institutes. The research team at Electronics and Telecommunications Research Institute is involved in design and development of data processing softwares for wide area reference station and user segment. This paper focuses on user segment software design. Korean WA-DGNSS user segment software is designed to perform several functions such as calculation of pseudorange, ionosphere and troposphere delays, application of fast and slow correction messages, and data verification. It is based on a layered architecture that provides a model to develop flexible and reusable software and is divided into several independent, interchangeable and reusable components to reduce complexity and maintenance cost. The current version is designed to collect and process GPS and WA-DGNSS data however it is flexible to accommodate future GNSS systems such as GLONASS and Galileo.

  9. Complete Genome Sequence of the Hyperthermophilic Sulfate-Reducing Bacterium Thermodesulfobacterium geofontis OPF15T.

    Science.gov (United States)

    Elkins, James G; Hamilton-Brehm, Scott D; Lucas, Susan; Han, James; Lapidus, Alla; Cheng, Jan-Fang; Goodwin, Lynne A; Pitluck, Sam; Peters, Lin; Mikhailova, Natalia; Davenport, Karen W; Detter, John C; Han, Cliff S; Tapia, Roxanne; Land, Miriam L; Hauser, Loren; Kyrpides, Nikos C; Ivanova, Natalia N; Pagani, Ioanna; Bruce, David; Woyke, Tanja; Cottingham, Robert W

    2013-04-11

    Thermodesulfobacterium geofontis OPF15(T) (ATCC BAA-2454, JCM 18567) was isolated from Obsidian Pool, Yellowstone National Park, and grows optimally at 83°C. The 1.6-Mb genome sequence was finished at the Joint Genome Institute and has been deposited for future genomic studies pertaining to microbial processes and nutrient cycles in high-temperature environments.

  10. NORTRIP emission model user guide

    Energy Technology Data Exchange (ETDEWEB)

    Denby, Rolstad Bruce

    2012-07-01

    The NORTRIP emission model has been developed at NILU, in conjunction with other Nordic institutes, to model non-exhaust traffic induced emissions. This short summary document explains how to run the NORTRIP model from the MATLAB environment or by using the executable user interface version. It also provides brief information on input files and the model architecture.(Author)

  11. Molecular Mechanisms Underlying Genomic Instability in Brca-Deficient Cells

    Science.gov (United States)

    2014-11-01

    increased by hydroxyurea, ATR inhibition, deregulated c-Myc expression and by PARPi treatment of BRCA1 deficient cells. This work was recently published...Genome Stability." 6: May 27, 2013-Collaborative Research Center 655 from Cells to Tissues seminar series at the Max-Planck-Institute in Dresden, Germany ...Eisenach, Germany -“Genome Stability during DNA Replication” 8: May 3, 2013- Chemical and Systems Biology Department Seminar Series at Stanford

  12. CRISPR-Cas9 Toolkit for Actinomycete Genome Editing

    DEFF Research Database (Denmark)

    Tong, Yaojun; Robertsen, Helene Lunde; Blin, Kai

    2018-01-01

    engineering approaches for boosting known and discovering novel natural products. In order to facilitate the genome editing for actinomycetes, we developed a CRISPR-Cas9 toolkit with high efficiency for actinomyces genome editing. This basic toolkit includes a software for spacer (sgRNA) identification......, a system for in-frame gene/gene cluster knockout, a system for gene loss-of-function study, a system for generating a random size deletion library, and a system for gene knockdown. For the latter, a uracil-specific excision reagent (USER) cloning technology was adapted to simplify the CRISPR vector...... construction process. The application of this toolkit was successfully demonstrated by perturbation of genomes of Streptomyces coelicolor A3(2) and Streptomyces collinus Tü 365. The CRISPR-Cas9 toolkit and related protocol described here can be widely used for metabolic engineering of actinomycetes....

  13. Patient-professional interactions in mental health institutions in Denmark

    DEFF Research Database (Denmark)

    Ringer, Agnes

    Although qualitative research within the field of mental health is growing, few studies of everyday communication between service users and multidisciplinary professionals within mental health institutions exist. This study examines the everyday interactions between mental health professionals...... by discursive and narrative approaches, the aim of the study is to shed light on how the professionals and users construct patient identities. How are the users and the professionals positioned in their interactions? How are concepts such as psychiatric diagnosis and mental illness negotiated within...

  14. Reefgenomics.Org - a repository for marine genomics data.

    Science.gov (United States)

    Liew, Yi Jin; Aranda, Manuel; Voolstra, Christian R

    2016-01-01

    Over the last decade, technological advancements have substantially decreased the cost and time of obtaining large amounts of sequencing data. Paired with the exponentially increased computing power, individual labs are now able to sequence genomes or transcriptomes to investigate biological questions of interest. This has led to a significant increase in available sequence data. Although the bulk of data published in articles are stored in public sequence databases, very often, only raw sequencing data are available; miscellaneous data such as assembled transcriptomes, genome annotations etc. are not easily obtainable through the same means. Here, we introduce our website (http://reefgenomics.org) that aims to centralize genomic and transcriptomic data from marine organisms. Besides providing convenient means to download sequences, we provide (where applicable) a genome browser to explore available genomic features, and a BLAST interface to search through the hosted sequences. Through the interface, multiple datasets can be queried simultaneously, allowing for the retrieval of matching sequences from organisms of interest. The minimalistic, no-frills interface reduces visual clutter, making it convenient for end-users to search and explore processed sequence data. DATABASE URL: http://reefgenomics.org. © The Author(s) 2016. Published by Oxford University Press.

  15. Databases and web tools for cancer genomics study.

    Science.gov (United States)

    Yang, Yadong; Dong, Xunong; Xie, Bingbing; Ding, Nan; Chen, Juan; Li, Yongjun; Zhang, Qian; Qu, Hongzhu; Fang, Xiangdong

    2015-02-01

    Publicly-accessible resources have promoted the advance of scientific discovery. The era of genomics and big data has brought the need for collaboration and data sharing in order to make effective use of this new knowledge. Here, we describe the web resources for cancer genomics research and rate them on the basis of the diversity of cancer types, sample size, omics data comprehensiveness, and user experience. The resources reviewed include data repository and analysis tools; and we hope such introduction will promote the awareness and facilitate the usage of these resources in the cancer research community. Copyright © 2015 The Authors. Production and hosting by Elsevier Ltd.. All rights reserved.

  16. Fish the ChIPs: a pipeline for automated genomic annotation of ChIP-Seq data

    Directory of Open Access Journals (Sweden)

    Minucci Saverio

    2011-10-01

    Full Text Available Abstract Background High-throughput sequencing is generating massive amounts of data at a pace that largely exceeds the throughput of data analysis routines. Here we introduce Fish the ChIPs (FC, a computational pipeline aimed at a broad public of users and designed to perform complete ChIP-Seq data analysis of an unlimited number of samples, thus increasing throughput, reproducibility and saving time. Results Starting from short read sequences, FC performs the following steps: 1 quality controls, 2 alignment to a reference genome, 3 peak calling, 4 genomic annotation, 5 generation of raw signal tracks for visualization on the UCSC and IGV genome browsers. FC exploits some of the fastest and most effective tools today available. Installation on a Mac platform requires very basic computational skills while configuration and usage are supported by a user-friendly graphic user interface. Alternatively, FC can be compiled from the source code on any Unix machine and then run with the possibility of customizing each single parameter through a simple configuration text file that can be generated using a dedicated user-friendly web-form. Considering the execution time, FC can be run on a desktop machine, even though the use of a computer cluster is recommended for analyses of large batches of data. FC is perfectly suited to work with data coming from Illumina Solexa Genome Analyzers or ABI SOLiD and its usage can potentially be extended to any sequencing platform. Conclusions Compared to existing tools, FC has two main advantages that make it suitable for a broad range of users. First of all, it can be installed and run by wet biologists on a Mac machine. Besides it can handle an unlimited number of samples, being convenient for large analyses. In this context, computational biologists can increase reproducibility of their ChIP-Seq data analyses while saving time for downstream analyses. Reviewers This article was reviewed by Gavin Huttley, George

  17. Institutional Renewal: Instructional Development in Context.

    Science.gov (United States)

    DeBloois, Michael L.

    Traditionally, instructional developers have confronted the following dilemmas: (1) motivation through coercion versus motivation through reward; (2) systems approaches versus intuition; and (3) incremental change versus fundamental change. A more pragmatic approach to institutional change should attempt to: (1) be user centered; (2) provide…

  18. GLIDERS - A web-based search engine for genome-wide linkage disequilibrium between HapMap SNPs

    Directory of Open Access Journals (Sweden)

    Broxholme John

    2009-10-01

    Full Text Available Abstract Background A number of tools for the examination of linkage disequilibrium (LD patterns between nearby alleles exist, but none are available for quickly and easily investigating LD at longer ranges (>500 kb. We have developed a web-based query tool (GLIDERS: Genome-wide LInkage DisEquilibrium Repository and Search engine that enables the retrieval of pairwise associations with r2 ≥ 0.3 across the human genome for any SNP genotyped within HapMap phase 2 and 3, regardless of distance between the markers. Description GLIDERS is an easy to use web tool that only requires the user to enter rs numbers of SNPs they want to retrieve genome-wide LD for (both nearby and long-range. The intuitive web interface handles both manual entry of SNP IDs as well as allowing users to upload files of SNP IDs. The user can limit the resulting inter SNP associations with easy to use menu options. These include MAF limit (5-45%, distance limits between SNPs (minimum and maximum, r2 (0.3 to 1, HapMap population sample (CEU, YRI and JPT+CHB combined and HapMap build/release. All resulting genome-wide inter-SNP associations are displayed on a single output page, which has a link to a downloadable tab delimited text file. Conclusion GLIDERS is a quick and easy way to retrieve genome-wide inter-SNP associations and to explore LD patterns for any number of SNPs of interest. GLIDERS can be useful in identifying SNPs with long-range LD. This can highlight mis-mapping or other potential association signal localisation problems.

  19. Laying the Foundation for a Genomic Rosetta Stone: Creating Information Hubs through the User of Consensus Idenifiers

    Energy Technology Data Exchange (ETDEWEB)

    Van Brabant, Bart; Kyrpides, Nikos; Glockner, Frank Oliver; Gray, Tanya; Field, Dawn; De Vos, Paul; De Baets, Bernard; Dawyndt, Peter

    2007-05-01

    This paper presents a holistic approach that illustrates how the semantic hurdle for integration of biological databases might be overcome when mapping sources that provide information on individual genes and complete genomes to sources that provide information on the biological resources from which these sequences where derived, and vice versa. In particular we will explain how each of the completed and ongoing whole-genome sequencing projects in the Genomes OnLine Database and each of the ribosomal RNA sequences in the SILVA ribosomal RNA database have been persistently cross-referenced with the StrainInfo.net bioportal, serving both a genome centric and an organism centric view to the life on our blue planet as one more stepping stone towards the establishment of fully integrated and flexible biological information networks.

  20. Beyond the human genome: Microbes, methaphors and what it means to be human in an interconnected post-genomic world

    NARCIS (Netherlands)

    Nerlich, B.; Hellsten, I.R.

    2009-01-01

    Four years after the completion of the Human Genome Project, the US National Institutes for Health launched the Human Microbiome Project on 19 December 2007. Using metaphor analysis, this article investigates reporting in English-language newspapers on advances in microbiomics from 2003 onwards,

  1. A Novel Method to Predict Genomic Islands Based on Mean Shift Clustering Algorithm.

    Directory of Open Access Journals (Sweden)

    Daniel M de Brito

    Full Text Available Genomic Islands (GIs are regions of bacterial genomes that are acquired from other organisms by the phenomenon of horizontal transfer. These regions are often responsible for many important acquired adaptations of the bacteria, with great impact on their evolution and behavior. Nevertheless, these adaptations are usually associated with pathogenicity, antibiotic resistance, degradation and metabolism. Identification of such regions is of medical and industrial interest. For this reason, different approaches for genomic islands prediction have been proposed. However, none of them are capable of predicting precisely the complete repertory of GIs in a genome. The difficulties arise due to the changes in performance of different algorithms in the face of the variety of nucleotide distribution in different species. In this paper, we present a novel method to predict GIs that is built upon mean shift clustering algorithm. It does not require any information regarding the number of clusters, and the bandwidth parameter is automatically calculated based on a heuristic approach. The method was implemented in a new user-friendly tool named MSGIP--Mean Shift Genomic Island Predictor. Genomes of bacteria with GIs discussed in other papers were used to evaluate the proposed method. The application of this tool revealed the same GIs predicted by other methods and also different novel unpredicted islands. A detailed investigation of the different features related to typical GI elements inserted in these new regions confirmed its effectiveness. Stand-alone and user-friendly versions for this new methodology are available at http://msgip.integrativebioinformatics.me.

  2. CoCoNUT: an efficient system for the comparison and analysis of genomes

    Directory of Open Access Journals (Sweden)

    Kurtz Stefan

    2008-11-01

    Full Text Available Abstract Background Comparative genomics is the analysis and comparison of genomes from different species. This area of research is driven by the large number of sequenced genomes and heavily relies on efficient algorithms and software to perform pairwise and multiple genome comparisons. Results Most of the software tools available are tailored for one specific task. In contrast, we have developed a novel system CoCoNUT (Computational Comparative geNomics Utility Toolkit that allows solving several different tasks in a unified framework: (1 finding regions of high similarity among multiple genomic sequences and aligning them, (2 comparing two draft or multi-chromosomal genomes, (3 locating large segmental duplications in large genomic sequences, and (4 mapping cDNA/EST to genomic sequences. Conclusion CoCoNUT is competitive with other software tools w.r.t. the quality of the results. The use of state of the art algorithms and data structures allows CoCoNUT to solve comparative genomics tasks more efficiently than previous tools. With the improved user interface (including an interactive visualization component, CoCoNUT provides a unified, versatile, and easy-to-use software tool for large scale studies in comparative genomics.

  3. Water markets between Mexican water user associations

    NARCIS (Netherlands)

    Kloezen, W.H.

    1998-01-01

    Internationally, introducing water markets is regarded as a strong alternative institutional arrangement for managing irrigation water more effectively. Also in Mexico, the National Water Law of 1992 allows individual farmers as well as water user associations (WUA) to trade water. Although farmer

  4. The mitochondrial genome of the quiet-calling katydids, Xizicus ...

    Indian Academy of Sciences (India)

    College of Life Sciences, Hebei University, Baoding 071002, People's Republic of China. Abstract. To help determine whether the typical arthropod .... In the same way, the cycle was repeated to 'walk' around the rest of the genome. ..... Life Web Project (http://tolweb.org/). Hall T. A. 1999 BioEdit: a user-friendly biological ...

  5. A chromosome conformation capture ordered sequence of the barley genome

    Czech Academy of Sciences Publication Activity Database

    Mascher, M.; Gundlach, H.; Himmelbach, A.; Beier, S.; Twardziok, S. O.; Wicker, T.; Šimková, Hana; Staňková, Helena; Vrána, Jan; Chan, S.; Munoz-Amatrian, M.; Houben, A.; Doležel, Jaroslav; Ayling, S.; Lonardi, S.; Mayer, K.F.X.; Zhang, G.; Braumann, I.; Spannagl, M.; Li, C.; Waugh, R.; Stein, N.

    2017-01-01

    Roč. 544, č. 7651 (2017), s. 427-433 ISSN 0028-0836 R&D Projects: GA MŠk(CZ) LO1204 Institutional support: RVO:61389030 Keywords : bacterial artificial chromosomes * inverted-repeat elements * complex-plant genomes * hi-c * environmental adaptation * ltr retrotransposons * structural variation * maize genome * software * database Subject RIV: EB - Genetics ; Molecular Biology OBOR OECD: Plant sciences, botany Impact factor: 40.137, year: 2016

  6. YersiniaBase: a genomic resource and analysis platform for comparative analysis of Yersinia.

    Science.gov (United States)

    Tan, Shi Yang; Dutta, Avirup; Jakubovics, Nicholas S; Ang, Mia Yang; Siow, Cheuk Chuen; Mutha, Naresh Vr; Heydari, Hamed; Wee, Wei Yee; Wong, Guat Jah; Choo, Siew Woh

    2015-01-16

    Yersinia is a Gram-negative bacteria that includes serious pathogens such as the Yersinia pestis, which causes plague, Yersinia pseudotuberculosis, Yersinia enterocolitica. The remaining species are generally considered non-pathogenic to humans, although there is evidence that at least some of these species can cause occasional infections using distinct mechanisms from the more pathogenic species. With the advances in sequencing technologies, many genomes of Yersinia have been sequenced. However, there is currently no specialized platform to hold the rapidly-growing Yersinia genomic data and to provide analysis tools particularly for comparative analyses, which are required to provide improved insights into their biology, evolution and pathogenicity. To facilitate the ongoing and future research of Yersinia, especially those generally considered non-pathogenic species, a well-defined repository and analysis platform is needed to hold the Yersinia genomic data and analysis tools for the Yersinia research community. Hence, we have developed the YersiniaBase, a robust and user-friendly Yersinia resource and analysis platform for the analysis of Yersinia genomic data. YersiniaBase has a total of twelve species and 232 genome sequences, of which the majority are Yersinia pestis. In order to smooth the process of searching genomic data in a large database, we implemented an Asynchronous JavaScript and XML (AJAX)-based real-time searching system in YersiniaBase. Besides incorporating existing tools, which include JavaScript-based genome browser (JBrowse) and Basic Local Alignment Search Tool (BLAST), YersiniaBase also has in-house developed tools: (1) Pairwise Genome Comparison tool (PGC) for comparing two user-selected genomes; (2) Pathogenomics Profiling Tool (PathoProT) for comparative pathogenomics analysis of Yersinia genomes; (3) YersiniaTree for constructing phylogenetic tree of Yersinia. We ran analyses based on the tools and genomic data in YersiniaBase and the

  7. User Environment Tracking and Problem Detection with XALT

    Energy Technology Data Exchange (ETDEWEB)

    Agrawal, Kapil [ORNL; Fahey, Mark R [ORNL; McLay, Robert [Texas Advanced Computing Center; James, Doug [Texas Advanced Computing Center

    2014-01-01

    This work improves our understanding of individual users software needs, then leverages that understanding to help stakeholders conduct business in a more efficient, effective, and systematic way. The product, XALT, builds on work that is already improving the user experience and enhancing support programs for thousands of users on twelve supercomputers across the United States and Europe. XALT will instrument individual jobs on high-end computers to generate a picture of the compilers, libraries, and other software that users need to run their jobs successfully. It will highlight the products our researchers need and do not need, and alert users and support staff to the root causes of software configuration issues as soon as the problems occur. A key objective of this work is generating the information needed to improve efficiency and effectiveness for an extensive community of stakeholders including users, sponsoring institutions, support organizations, and development teams. Efficiency, effectiveness, and responsible stewardship each require a clear picture of users needs. XALT is an important step in the quest to achieve that clarity.

  8. Nuclear genome size and genomic distribution of ribosomal DNA in Musa and Ensete (Musaceae): taxonomic implications

    Czech Academy of Sciences Publication Activity Database

    Bartoš, Jan; Alkhimova, Olena; Kubaláková, Marie; De Langhe, E.; Doležel, Jaroslav

    2005-01-01

    Roč. 109, - (2005), s. 50-57 ISSN 1424-8581 R&D Projects: GA AV ČR IAA6038204 Grant - others:IAEA Research Contract 12230/RBF Institutional research plan: CEZ:AV0Z50380511 Keywords : Musa and Ensete * nuclear genome size * FISH Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 2.076, year: 2005

  9. Prospects for genomic selection in cassava breeding

    Science.gov (United States)

    Cassava (Manihot esculenta Crantz) is a clonally propagated staple food crop in the tropics. Genomic selection (GS) has been implemented at three breeding institutions in Africa in order to reduce cycle times. Initial studies provided promising estimates of predictive abilities. Here, we expand on p...

  10. Indel Group in Genomes (IGG) Molecular Genetic Markers1[OPEN

    Science.gov (United States)

    Burkart-Waco, Diana; Kuppu, Sundaram; Britt, Anne; Chetelat, Roger

    2016-01-01

    Genetic markers are essential when developing or working with genetically variable populations. Indel Group in Genomes (IGG) markers are primer pairs that amplify single-locus sequences that differ in size for two or more alleles. They are attractive for their ease of use for rapid genotyping and their codominant nature. Here, we describe a heuristic algorithm that uses a k-mer-based approach to search two or more genome sequences to locate polymorphic regions suitable for designing candidate IGG marker primers. As input to the IGG pipeline software, the user provides genome sequences and the desired amplicon sizes and size differences. Primer sequences flanking polymorphic insertions/deletions are produced as output. IGG marker files for three sets of genomes, Solanum lycopersicum/Solanum pennellii, Arabidopsis (Arabidopsis thaliana) Columbia-0/Landsberg erecta-0 accessions, and S. lycopersicum/S. pennellii/Solanum tuberosum (three-way polymorphic) are included. PMID:27436831

  11. Functional and comparative genome analysis of novel virulent actinophages belonging to Streptomyces flavovirens

    Czech Academy of Sciences Publication Activity Database

    Sharaf, Abdoallah; Mercati, F.; Elmaghraby, I.; Elbaz, R. M.; Marei, E. M.

    2017-01-01

    Roč. 17, 3 March (2017), č. článku 51. ISSN 1471-2180 Institutional support: RVO:60077344 Keywords : bacteriophage * biological stability * whole genome sequence * ngs * comparative genomics Subject RIV: EB - Genetics ; Molecular Biology OBOR OECD: Biochemistry and molecular biology Impact factor: 2.644, year: 2016

  12. MBGD update 2013: the microbial genome database for exploring the diversity of microbial world.

    Science.gov (United States)

    Uchiyama, Ikuo; Mihara, Motohiro; Nishide, Hiroyo; Chiba, Hirokazu

    2013-01-01

    The microbial genome database for comparative analysis (MBGD, available at http://mbgd.genome.ad.jp/) is a platform for microbial genome comparison based on orthology analysis. As its unique feature, MBGD allows users to conduct orthology analysis among any specified set of organisms; this flexibility allows MBGD to adapt to a variety of microbial genomic study. Reflecting the huge diversity of microbial world, the number of microbial genome projects now becomes several thousands. To efficiently explore the diversity of the entire microbial genomic data, MBGD now provides summary pages for pre-calculated ortholog tables among various taxonomic groups. For some closely related taxa, MBGD also provides the conserved synteny information (core genome alignment) pre-calculated using the CoreAligner program. In addition, efficient incremental updating procedure can create extended ortholog table by adding additional genomes to the default ortholog table generated from the representative set of genomes. Combining with the functionalities of the dynamic orthology calculation of any specified set of organisms, MBGD is an efficient and flexible tool for exploring the microbial genome diversity.

  13. Identification of Ohnolog Genes Originating from Whole Genome Duplication in Early Vertebrates, Based on Synteny Comparison across Multiple Genomes.

    Science.gov (United States)

    Singh, Param Priya; Arora, Jatin; Isambert, Hervé

    2015-07-01

    Whole genome duplications (WGD) have now been firmly established in all major eukaryotic kingdoms. In particular, all vertebrates descend from two rounds of WGDs, that occurred in their jawless ancestor some 500 MY ago. Paralogs retained from WGD, also coined 'ohnologs' after Susumu Ohno, have been shown to be typically associated with development, signaling and gene regulation. Ohnologs, which amount to about 20 to 35% of genes in the human genome, have also been shown to be prone to dominant deleterious mutations and frequently implicated in cancer and genetic diseases. Hence, identifying ohnologs is central to better understand the evolution of vertebrates and their susceptibility to genetic diseases. Early computational analyses to identify vertebrate ohnologs relied on content-based synteny comparisons between the human genome and a single invertebrate outgroup genome or within the human genome itself. These approaches are thus limited by lineage specific rearrangements in individual genomes. We report, in this study, the identification of vertebrate ohnologs based on the quantitative assessment and integration of synteny conservation between six amniote vertebrates and six invertebrate outgroups. Such a synteny comparison across multiple genomes is shown to enhance the statistical power of ohnolog identification in vertebrates compared to earlier approaches, by overcoming lineage specific genome rearrangements. Ohnolog gene families can be browsed and downloaded for three statistical confidence levels or recompiled for specific, user-defined, significance criteria at http://ohnologs.curie.fr/. In the light of the importance of WGD on the genetic makeup of vertebrates, our analysis provides a useful resource for researchers interested in gaining further insights on vertebrate evolution and genetic diseases.

  14. Use of Comparative Genomics To Characterize the Diversity of Acinetobacter baumannii Surveillance Isolates in a Health Care Institution

    Science.gov (United States)

    Wallace, Lalena; Daugherty, Sean C.; Nagaraj, Sushma; Johnson, J. Kristie; Harris, Anthony D.

    2016-01-01

    Despite the increasing prevalence of the nosocomial pathogen Acinetobacter baumannii, little is known about which genomic components contribute to clinical presentation of this important pathogen. Most whole-genome comparisons of A. baumannii have focused on specific genomic regions associated with phenotypes in a limited number of genomes. In this work, we describe the results of a whole-genome comparative analysis of 254 surveillance isolates of Acinetobacter species, 203 of which were A. baumannii, isolated from perianal swabs and sputum samples collected as part of an infection control active surveillance program at the University of Maryland Medical Center. The collection of surveillance isolates includes both carbapenem-susceptible and -resistant isolates. Based on the whole-genome phylogeny, the A. baumannii isolates collected belong to two major phylogenomic lineages. Results from multilocus sequence typing indicated that one of the major phylogenetic groups of A. baumannii was comprised solely of strains from the international clonal lineage 2. The genomic content of the A. baumannii isolates was examined using large-scale BLAST score ratio analysis to identify genes that are associated with carbapenem-susceptible and -resistant isolates, as well as genes potentially associated with the source of isolation. This analysis revealed a number of genes that were exclusive or at greater frequency in each of these classifications. This study is the most comprehensive genomic comparison of Acinetobacter isolates from a surveillance study to date and provides important information that will contribute to our understanding of the success of A. baumannii as a human pathogen. PMID:27458211

  15. Integrating cancer genomic data into electronic health records

    Directory of Open Access Journals (Sweden)

    Jeremy L. Warner

    2016-10-01

    Full Text Available Abstract The rise of genomically targeted therapies and immunotherapy has revolutionized the practice of oncology in the last 10–15 years. At the same time, new technologies and the electronic health record (EHR in particular have permeated the oncology clinic. Initially designed as billing and clinical documentation systems, EHR systems have not anticipated the complexity and variety of genomic information that needs to be reviewed, interpreted, and acted upon on a daily basis. Improved integration of cancer genomic data with EHR systems will help guide clinician decision making, support secondary uses, and ultimately improve patient care within oncology clinics. Some of the key factors relating to the challenge of integrating cancer genomic data into EHRs include: the bioinformatics pipelines that translate raw genomic data into meaningful, actionable results; the role of human curation in the interpretation of variant calls; and the need for consistent standards with regard to genomic and clinical data. Several emerging paradigms for integration are discussed in this review, including: non-standardized efforts between individual institutions and genomic testing laboratories; “middleware” products that portray genomic information, albeit outside of the clinical workflow; and application programming interfaces that have the potential to work within clinical workflow. The critical need for clinical-genomic knowledge bases, which can be independent or integrated into the aforementioned solutions, is also discussed.

  16. Work programe of the Institute 1986/1987. Arbeitsprogramm des Instituts 1986/1987

    Energy Technology Data Exchange (ETDEWEB)

    1986-02-01

    The Institute tries to make suitably processed research results available to the Land of Hesse, as aids in decision making on questions of dwelling and town planning policies, energy and environmental policies, land planning, traffic and social policies. The project work is concentrated on the following main points of the work: A. Flat market and support policy; B. Legal and organisational problems of flat dwellers, C. Living accommodation problems of disadvantaged groups; D. Living environment; E. Town development and F. Energy use. Within the subject of energy use, one assumes that the achievement of careful and rational, environmentally and socially acceptable energy strategies and concepts is opposed more by obstacles in the process of realisation rather than gaps in basic knowledge, so that it is most important that users should be better informed on the current state of systems of rational energy use and the conditions of use of these systems and that these users should be advised whether they are individual households or investors, for which purpose consultancy institutions should be created by the Land, or whether they are local companies, who take the principles of rational use of energy into account and must convert them into energy concepts.

  17. Nuclear Genome Size: Are We Getting Closer?

    Czech Academy of Sciences Publication Activity Database

    Doležel, Jaroslav; Greilhuber, J.

    77A, č. 7 (2010), s. 635-642 ISSN 1552-4922 R&D Projects : GA MŠk(CZ) LC06004 Institutional research plan: CEZ:AV0Z50380511 Keywords : cytometric techniques * reference standards * genome sequencing Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 3.749, year: 2010

  18. An Ontology-Based GIS for Genomic Data Management of Rumen Microbes.

    Science.gov (United States)

    Jelokhani-Niaraki, Saber; Tahmoorespur, Mojtaba; Minuchehr, Zarrin; Nassiri, Mohammad Reza

    2015-03-01

    During recent years, there has been exponential growth in biological information. With the emergence of large datasets in biology, life scientists are encountering bottlenecks in handling the biological data. This study presents an integrated geographic information system (GIS)-ontology application for handling microbial genome data. The application uses a linear referencing technique as one of the GIS functionalities to represent genes as linear events on the genome layer, where users can define/change the attributes of genes in an event table and interactively see the gene events on a genome layer. Our application adopted ontology to portray and store genomic data in a semantic framework, which facilitates data-sharing among biology domains, applications, and experts. The application was developed in two steps. In the first step, the genome annotated data were prepared and stored in a MySQL database. The second step involved the connection of the database to both ArcGIS and Protégé as the GIS engine and ontology platform, respectively. We have designed this application specifically to manage the genome-annotated data of rumen microbial populations. Such a GIS-ontology application offers powerful capabilities for visualizing, managing, reusing, sharing, and querying genome-related data.

  19. Nature-inspired novel Cuckoo Search Algorithm for genome

    Indian Academy of Sciences (India)

    This study aims to produce a novel optimization algorithm, called the Cuckoo Search Algorithm (CS), for solving the genome sequence assembly problem. ... Department of Electronics and Communication Engineering, Coimbatore Institute of Technology, Coimbatore 641 014, India; Department of Information Technology, ...

  20. A broadly implementable research course in phage discovery and genomics for first-year undergraduate students.

    Science.gov (United States)

    Jordan, Tuajuanda C; Burnett, Sandra H; Carson, Susan; Caruso, Steven M; Clase, Kari; DeJong, Randall J; Dennehy, John J; Denver, Dee R; Dunbar, David; Elgin, Sarah C R; Findley, Ann M; Gissendanner, Chris R; Golebiewska, Urszula P; Guild, Nancy; Hartzog, Grant A; Grillo, Wendy H; Hollowell, Gail P; Hughes, Lee E; Johnson, Allison; King, Rodney A; Lewis, Lynn O; Li, Wei; Rosenzweig, Frank; Rubin, Michael R; Saha, Margaret S; Sandoz, James; Shaffer, Christopher D; Taylor, Barbara; Temple, Louise; Vazquez, Edwin; Ware, Vassie C; Barker, Lucia P; Bradley, Kevin W; Jacobs-Sera, Deborah; Pope, Welkin H; Russell, Daniel A; Cresawn, Steven G; Lopatto, David; Bailey, Cheryl P; Hatfull, Graham F

    2014-02-04

    Engaging large numbers of undergraduates in authentic scientific discovery is desirable but difficult to achieve. We have developed a general model in which faculty and teaching assistants from diverse academic institutions are trained to teach a research course for first-year undergraduate students focused on bacteriophage discovery and genomics. The course is situated within a broader scientific context aimed at understanding viral diversity, such that faculty and students are collaborators with established researchers in the field. The Howard Hughes Medical Institute (HHMI) Science Education Alliance Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) course has been widely implemented and has been taken by over 4,800 students at 73 institutions. We show here that this alliance-sourced model not only substantially advances the field of phage genomics but also stimulates students' interest in science, positively influences academic achievement, and enhances persistence in science, technology, engineering, and mathematics (STEM) disciplines. Broad application of this model by integrating other research areas with large numbers of early-career undergraduate students has the potential to be transformative in science education and research training. Engagement of undergraduate students in scientific research at early stages in their careers presents an opportunity to excite students about science, technology, engineering, and mathematics (STEM) disciplines and promote continued interests in these areas. Many excellent course-based undergraduate research experiences have been developed, but scaling these to a broader impact with larger numbers of students is challenging. The Howard Hughes Medical Institute (HHMI) Science Education Alliance Phage Hunting Advancing Genomics and Evolutionary Science (SEA-PHAGES) program takes advantage of the huge size and diversity of the bacteriophage population to engage students in discovery of new viruses, genome

  1. [IMSS in numbers. Evaluation of the performance of health institutions in Mexico, 2004].

    Science.gov (United States)

    2006-01-01

    The evaluation of health institutions performance in Mexico during 2004 was done using 29 indicators that describe intra-hospital mortality rates, productivity of health services, availability of health resources, quality of care, security, investment and costs of health care and the satisfaction level by users of health services. This exercise describes the efficiency and organization of health services provided by the different health institutions and allows comparing and balancing the performance of each institution. Results indicate the differences in availability of resources, inequity in the financing health care services, and inefficiency in the use of resources but also describe the level of efficacy of certain institutions and the satisfaction level that different users have of health services. The evaluation of the performance of the entire health institutions should provide the means to improve all the process of health care and to increase the quality of care in all health institutions in the country.

  2. Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing

    Directory of Open Access Journals (Sweden)

    Iain Horton

    2017-08-01

    Full Text Available Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient’s genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address this need, the Center for Individualized Medicine at Mayo Clinic has implemented a genomic data warehouse and a workflow management system to bring data from institutional electronic health records and genomic sequencing data from both clinical and research bioinformatics sources into the warehouse. The system is the foundation for Mayo Clinic to build a suite of tools and interfaces to support various clinical and research use cases. The genomic data warehouse is positioned to play a key role in enhancing the research capabilities and advancing individualized patient care at Mayo Clinic.

  3. Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing.

    Science.gov (United States)

    Horton, Iain; Lin, Yaxiong; Reed, Gay; Wiepert, Mathieu; Hart, Steven

    2017-08-22

    Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient's genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address this need, the Center for Individualized Medicine at Mayo Clinic has implemented a genomic data warehouse and a workflow management system to bring data from institutional electronic health records and genomic sequencing data from both clinical and research bioinformatics sources into the warehouse. The system is the foundation for Mayo Clinic to build a suite of tools and interfaces to support various clinical and research use cases. The genomic data warehouse is positioned to play a key role in enhancing the research capabilities and advancing individualized patient care at Mayo Clinic.

  4. Information concerning the tax position of Users and Unpaid Associates in France

    CERN Multimedia

    HR Department

    2006-01-01

    Users and Unpaid Associates domiciled in France are liable for tax, under ordinary French law, on the remunerations paid by French institutions employing them. They are therefore required to complete and sign a declaration of income form and send it to their local tax office (centre des impôts), together with the annual certificate issued by CERN in accordance with Article R IV 2.04 of the Staff Regulations (cf. the information from the Legal Service and the HR Department concerning declarations of income for 2005 published above). Users and Unpaid Associates remunerated by a French institution but domiciled in Switzerland are required to complete and sign a declaration of income form and send it to the tax office for non residents: Centre des impôts des non-résidents - 9 rue d'Uzès - 75002 Paris - France. Users and Unpaid Associates residing in France for more than six months in 2005 and remunerated by an institution not established in France must also complete a declaration of income form. In the fi...

  5. WormBase 2016: expanding to enable helminth genomic research.

    Science.gov (United States)

    Howe, Kevin L; Bolt, Bruce J; Cain, Scott; Chan, Juancarlos; Chen, Wen J; Davis, Paul; Done, James; Down, Thomas; Gao, Sibyl; Grove, Christian; Harris, Todd W; Kishore, Ranjana; Lee, Raymond; Lomax, Jane; Li, Yuling; Muller, Hans-Michael; Nakamura, Cecilia; Nuin, Paulo; Paulini, Michael; Raciti, Daniela; Schindelman, Gary; Stanley, Eleanor; Tuli, Mary Ann; Van Auken, Kimberly; Wang, Daniel; Wang, Xiaodong; Williams, Gary; Wright, Adam; Yook, Karen; Berriman, Matthew; Kersey, Paul; Schedl, Tim; Stein, Lincoln; Sternberg, Paul W

    2016-01-04

    WormBase (www.wormbase.org) is a central repository for research data on the biology, genetics and genomics of Caenorhabditis elegans and other nematodes. The project has evolved from its original remit to collect and integrate all data for a single species, and now extends to numerous nematodes, ranging from evolutionary comparators of C. elegans to parasitic species that threaten plant, animal and human health. Research activity using C. elegans as a model system is as vibrant as ever, and we have created new tools for community curation in response to the ever-increasing volume and complexity of data. To better allow users to navigate their way through these data, we have made a number of improvements to our main website, including new tools for browsing genomic features and ontology annotations. Finally, we have developed a new portal for parasitic worm genomes. WormBase ParaSite (parasite.wormbase.org) contains all publicly available nematode and platyhelminth annotated genome sequences, and is designed specifically to support helminth genomic research. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  6. Cloud computing for genomic data analysis and collaboration.

    Science.gov (United States)

    Langmead, Ben; Nellore, Abhinav

    2018-04-01

    Next-generation sequencing has made major strides in the past decade. Studies based on large sequencing data sets are growing in number, and public archives for raw sequencing data have been doubling in size every 18 months. Leveraging these data requires researchers to use large-scale computational resources. Cloud computing, a model whereby users rent computers and storage from large data centres, is a solution that is gaining traction in genomics research. Here, we describe how cloud computing is used in genomics for research and large-scale collaborations, and argue that its elasticity, reproducibility and privacy features make it ideally suited for the large-scale reanalysis of publicly available archived data, including privacy-protected data.

  7. CMG-Biotools, a Free Workbench for Basic Comparative Microbial Genomics

    DEFF Research Database (Denmark)

    Vesth, Tammi Camilla; Lagesen, Karin; Acar, Öncel

    2013-01-01

    This paper shows the strength and diverse use of the CMG-biotools system. The system can be installed on a vide range of host operating systems and utilizes as much of the host computer as desired. It allows the user to compare multiple genomes, from various sources using standardized data formats...

  8. Exploiting proteomic data for genome annotation and gene model validation in Aspergillus niger

    OpenAIRE

    Wright, James C.; Sugden, Deana; Francis-McIntyre, Sue; Riba Garcia, Isabel; Gaskell, Simon J.; Grigoriev, Igor V.; Baker, Scott E.; Beynon, Robert J.; Hubbard, Simon J.

    2009-01-01

    Abstract Background Proteomic data is a potentially rich, but arguably unexploited, data source for genome annotation. Peptide identifications from tandem mass spectrometry provide prima facie evidence for gene predictions and can discriminate over a set of candidate gene models. Here we apply this to the recently sequenced Aspergillus niger fungal genome from the Joint Genome Institutes (JGI) and another predicted protein set from another A.niger sequence. Tandem mass spectra (MS/MS) were ac...

  9. xGDBvm: A Web GUI-Driven Workflow for Annotating Eukaryotic Genomes in the Cloud.

    Science.gov (United States)

    Duvick, Jon; Standage, Daniel S; Merchant, Nirav; Brendel, Volker P

    2016-04-01

    Genome-wide annotation of gene structure requires the integration of numerous computational steps. Currently, annotation is arguably best accomplished through collaboration of bioinformatics and domain experts, with broad community involvement. However, such a collaborative approach is not scalable at today's pace of sequence generation. To address this problem, we developed the xGDBvm software, which uses an intuitive graphical user interface to access a number of common genome analysis and gene structure tools, preconfigured in a self-contained virtual machine image. Once their virtual machine instance is deployed through iPlant's Atmosphere cloud services, users access the xGDBvm workflow via a unified Web interface to manage inputs, set program parameters, configure links to high-performance computing (HPC) resources, view and manage output, apply analysis and editing tools, or access contextual help. The xGDBvm workflow will mask the genome, compute spliced alignments from transcript and/or protein inputs (locally or on a remote HPC cluster), predict gene structures and gene structure quality, and display output in a public or private genome browser complete with accessory tools. Problematic gene predictions are flagged and can be reannotated using the integrated yrGATE annotation tool. xGDBvm can also be configured to append or replace existing data or load precomputed data. Multiple genomes can be annotated and displayed, and outputs can be archived for sharing or backup. xGDBvm can be adapted to a variety of use cases including de novo genome annotation, reannotation, comparison of different annotations, and training or teaching. © 2016 American Society of Plant Biologists. All rights reserved.

  10. UFO: a web server for ultra-fast functional profiling of whole genome protein sequences.

    Science.gov (United States)

    Meinicke, Peter

    2009-09-02

    Functional profiling is a key technique to characterize and compare the functional potential of entire genomes. The estimation of profiles according to an assignment of sequences to functional categories is a computationally expensive task because it requires the comparison of all protein sequences from a genome with a usually large database of annotated sequences or sequence families. Based on machine learning techniques for Pfam domain detection, the UFO web server for ultra-fast functional profiling allows researchers to process large protein sequence collections instantaneously. Besides the frequencies of Pfam and GO categories, the user also obtains the sequence specific assignments to Pfam domain families. In addition, a comparison with existing genomes provides dissimilarity scores with respect to 821 reference proteomes. Considering the underlying UFO domain detection, the results on 206 test genomes indicate a high sensitivity of the approach. In comparison with current state-of-the-art HMMs, the runtime measurements show a considerable speed up in the range of four orders of magnitude. For an average size prokaryotic genome, the computation of a functional profile together with its comparison typically requires about 10 seconds of processing time. For the first time the UFO web server makes it possible to get a quick overview on the functional inventory of newly sequenced organisms. The genome scale comparison with a large number of precomputed profiles allows a first guess about functionally related organisms. The service is freely available and does not require user registration or specification of a valid email address.

  11. UFO: a web server for ultra-fast functional profiling of whole genome protein sequences

    Directory of Open Access Journals (Sweden)

    Meinicke Peter

    2009-09-01

    Full Text Available Abstract Background Functional profiling is a key technique to characterize and compare the functional potential of entire genomes. The estimation of profiles according to an assignment of sequences to functional categories is a computationally expensive task because it requires the comparison of all protein sequences from a genome with a usually large database of annotated sequences or sequence families. Description Based on machine learning techniques for Pfam domain detection, the UFO web server for ultra-fast functional profiling allows researchers to process large protein sequence collections instantaneously. Besides the frequencies of Pfam and GO categories, the user also obtains the sequence specific assignments to Pfam domain families. In addition, a comparison with existing genomes provides dissimilarity scores with respect to 821 reference proteomes. Considering the underlying UFO domain detection, the results on 206 test genomes indicate a high sensitivity of the approach. In comparison with current state-of-the-art HMMs, the runtime measurements show a considerable speed up in the range of four orders of magnitude. For an average size prokaryotic genome, the computation of a functional profile together with its comparison typically requires about 10 seconds of processing time. Conclusion For the first time the UFO web server makes it possible to get a quick overview on the functional inventory of newly sequenced organisms. The genome scale comparison with a large number of precomputed profiles allows a first guess about functionally related organisms. The service is freely available and does not require user registration or specification of a valid email address.

  12. Meeting the Information Needs of Remote Library Users: The Case ...

    African Journals Online (AJOL)

    Many higher educational institutions now offer distance academic programmes through ... Keywords: information needs, distance learning, remote library users, distance education .... younger counterparts because of their higher motivation.

  13. Building local capacity for genomics research in Africa: recommendations from analysis of publications in Sub-Saharan Africa from 2004 to 2013.

    Science.gov (United States)

    Adedokun, Babatunde O; Olopade, Christopher O; Olopade, Olufunmilayo I

    2016-01-01

    The poor genomics research capacity of Sub-Saharan Africa (SSA) could prevent maximal benefits from the applications of genomics in the practice of medicine and research. The objective of this study is to examine the author affiliations of genomic epidemiology publications in order to make recommendations for building local genomics research capacity in SSA. SSA genomic epidemiology articles published between 2004 and 2013 were extracted from the Human Genome Epidemiology (HuGE) database. Data on authorship details, country of population studied, and phenotype or disease were extracted. Factors associated with the first author, who has an SSA institution affiliation (AIAFA), were determined using a Chi-square test and multiple logistic regression analysis. The most commonly studied population was South Africa, accounting for 31.1%, followed by Ghana (10.6%) and Kenya (7.5%). About one-tenth of the papers were related to non-communicable diseases (NCDs) such as cancer (6.1%) and cardiovascular diseases (CVDs) (4.3%). Fewer than half of the first authors (46.9%) were affiliated with an African institution. Among the 238 articles with an African first author, over three-quarters (79.8%) belonged to a university or medical school, 16.8% were affiliated with a research institute, and 3.4% had affiliations with other institutions. Significant disparities currently exist among SSA countries in genomics research capacity. South Africa has the highest genomics research output, which is reflected in the investments made in its genomics and biotechnology sector. These findings underscore the need to focus on developing local capacity, especially among those affiliated with SSA universities where there are more opportunities for teaching and research.

  14. Fuzzy assessment of health information system users' security awareness.

    Science.gov (United States)

    Aydın, Özlem Müge; Chouseinoglou, Oumout

    2013-12-01

    Health information systems (HIS) are a specific area of information systems (IS), where critical patient data is stored and quality health service is only realized with the correct use and efficient dissemination of this data to health workers. Therefore, a balance needs to be established between the levels of security and flow of information on HIS. Instead of implementing higher levels and further mechanisms of control to increase the security of HIS, it is preferable to deal with the arguably weakest link on HIS chain with respect to security: HIS users. In order to provide solutions and approaches for transforming users to the first line of defense in HIS but also to employ capable and appropriate candidates from the pool of newly graduated students, it is important to assess and evaluate the security awareness levels and characteristics of these existing and future users. This study aims to provide a new perspective to understand the phenomenon of security awareness of HIS users with the use of fuzzy analysis, and to assess the present situation of current and future HIS users of a leading medical and educational institution of Turkey, with respect to their security characteristics based on four different security scales. The results of the fuzzy analysis, the guide on how to implement this fuzzy analysis to any health institution and how to read and interpret these results, together with the possible implications of these results to the organization are provided.

  15. The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata

    Science.gov (United States)

    Liolios, Konstantinos; Chen, I-Min A.; Mavromatis, Konstantinos; Tavernarakis, Nektarios; Hugenholtz, Philip; Markowitz, Victor M.; Kyrpides, Nikos C.

    2010-01-01

    The Genomes On Line Database (GOLD) is a comprehensive resource for centralized monitoring of genome and metagenome projects worldwide. Both complete and ongoing projects, along with their associated metadata, can be accessed in GOLD through precomputed tables and a search page. As of September 2009, GOLD contains information for more than 5800 sequencing projects, of which 1100 have been completed and their sequence data deposited in a public repository. GOLD continues to expand, moving toward the goal of providing the most comprehensive repository of metadata information related to the projects and their organisms/environments in accordance with the Minimum Information about a (Meta)Genome Sequence (MIGS/MIMS) specification. GOLD is available at: http://www.genomesonline.org and has a mirror site at the Institute of Molecular Biology and Biotechnology, Crete, Greece, at: http://gold.imbb.forth.gr/ PMID:19914934

  16. Framing Creativity. User-driven Innovation in Changing Contexts

    DEFF Research Database (Denmark)

    Helms, Niels Henrik; Heilesen, Simon

    2011-01-01

    briefly discussing the concepts of creativity and innovation, the article outlines three levels of analysis. On a meta-level, a new model of quadruple helix innovation is introduced, providing a framework for interrelations between enterprise, government, knowledge institutions, and users (learners...

  17. The users centered design of a new digital fluorometer

    International Nuclear Information System (INIS)

    Farias, Marcos S.; Santos, Isaac J.A.L. dos; Grecco, Claudio H.S.; Pedrosa, Paulo S.; Colthurst, Carlos M.; Szabo, Andre P.

    2009-01-01

    The fluorometer is the equipment used in chemical analysis laboratories, research institutes and nuclear fuel cycle companies. This equipment measures an unknown amount of uranium in ores, rivers, etc. The fluorometer functioning is based on the uranium fluorescence when submitted to the ultraviolet radiation incidence. The fluorescence is measured by an electronic optic system with optics filters, photomultiplier tube, and a current amplifier. The user centered design involves the user in the product development in all phases of the design process. Users are not simply consulted at the beginning of the design process and evaluated the system at the end; they are treated as partners throughout the design process. The user centered design emphasizes the needs and abilities of the users and improves the usability of the equipment. The activity centered design emphasizes the development of the equipment with a deep understanding of the users activities and of the current work practices of the users. The aim of this paper is to present a methodological framework that contributes to the design and evaluation of a new digital fluorometer towards an approach related to the users and their activities. This methodological framework includes users-based testing, interviews, questionnaires, human factors standards and guidelines, the users activity analysis and users satisfaction questionnaire. (author)

  18. ASTRA Plus User Manual

    OpenAIRE

    MATUZAS Vaidas; CONTINI SERGIO

    2012-01-01

    This report describes the user interface and the main commands to perform system dependability analysis by means of ASTRA Plus. This package implements the analysis methods developed at the Institute for the Protection and Security of the Citizen from mid-2008. ASTRA Plus is composed of the Fault Tree Analysis (FTA) module and of the Concurrent Importance and Sensitivity Analysis (CISA) module. The FTA module contains three different methods for solving a fault tree; all are based on the...

  19. Remembrance of things past retrieved from the Paramecium genome.

    Science.gov (United States)

    Sperling, Linda

    2011-01-01

    Paramecium and other ciliates are the only unicellular eukaryotes that separate germinal and somatic functions. A germline micronucleus transmits the genetic information to sexual progeny, while a somatic macronucleus expresses the genetic information during vegetative growth to determine the phenotype. At each sexual generation, a new macronucleus develops from the zygotic nucleus through programmed rearrangements of the germline genome. Paramecium tetraurelia somatic genome sequencing, reviewed here, has provided insight into the organization and evolution of the genome. A series of at least 3 whole genome duplications was detected in the Paramecium lineage and selective pressures that determine the fate of the gene duplicates analyzed. Variability in the somatic DNA was characterized and could be attributed to the genome rearrangement processes. Since, in Paramecium, alternative genome rearrangement patterns can be inherited across sexual generations by homology-dependent epigenetic mechanisms and can affect phenotype, I discuss the possibility that ciliate nuclear dimorphism buffers genetic variation hidden in the germline. Copyright © 2011 Institut Pasteur. Published by Elsevier SAS. All rights reserved.

  20. Accurate DNA assembly and genome engineering with optimized uracil excision cloning

    DEFF Research Database (Denmark)

    Cavaleiro, Mafalda; Kim, Se Hyeuk; Seppala, Susanna

    2015-01-01

    Simple and reliable DNA editing by uracil excision (a.k.a. USER cloning) has been described by several research groups, but the optimal design of cohesive DNA ends for multigene assembly remains elusive. Here, we use two model constructs based on expression of gfp and a four-gene pathway that pro......Simple and reliable DNA editing by uracil excision (a.k.a. USER cloning) has been described by several research groups, but the optimal design of cohesive DNA ends for multigene assembly remains elusive. Here, we use two model constructs based on expression of gfp and a four-gene pathway...... that produces β-carotene to optimize assembly junctions and the uracil excision protocol. By combining uracil excision cloning with a genomic integration technology, we demonstrate that up to six DNA fragments can be assembled in a one-tube reaction for direct genome integration with high accuracy, greatly...... facilitating the advanced engineering of robust cell factories....

  1. Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis

    Directory of Open Access Journals (Sweden)

    Chen Jiun-Ching

    2007-05-01

    Full Text Available Abstract Background Genome-wide identification of specific oligonucleotides (oligos is a computationally-intensive task and is a requirement for designing microarray probes, primers, and siRNAs. An artificial neural network (ANN is a machine learning technique that can effectively process complex and high noise data. Here, ANNs are applied to process the unique subsequence distribution for prediction of specific oligos. Results We present a novel and efficient algorithm, named the integration of ANN and BLAST (IAB algorithm, to identify specific oligos. We establish the unique marker database for human and rat gene index databases using the hash table algorithm. We then create the input vectors, via the unique marker database, to train and test the ANN. The trained ANN predicted the specific oligos with high efficiency, and these oligos were subsequently verified by BLAST. To improve the prediction performance, the ANN over-fitting issue was avoided by early stopping with the best observed error and a k-fold validation was also applied. The performance of the IAB algorithm was about 5.2, 7.1, and 6.7 times faster than the BLAST search without ANN for experimental results of 70-mer, 50-mer, and 25-mer specific oligos, respectively. In addition, the results of polymerase chain reactions showed that the primers predicted by the IAB algorithm could specifically amplify the corresponding genes. The IAB algorithm has been integrated into a previously published comprehensive web server to support microarray analysis and genome-wide iterative enrichment analysis, through which users can identify a group of desired genes and then discover the specific oligos of these genes. Conclusion The IAB algorithm has been developed to construct SpecificDB, a web server that provides a specific and valid oligo database of the probe, siRNA, and primer design for the human genome. We also demonstrate the ability of the IAB algorithm to predict specific oligos through

  2. Chromosome-specific sequencing reveals an extensive dispensable genome component in wheat

    Czech Academy of Sciences Publication Activity Database

    Liu, M.; Stiller, J.; Holušová, Kateřina; Vrána, Jan; Liu, D.; Doležel, Jaroslav; Liu, C.

    2016-01-01

    Roč. 6, NOV 8 (2016), č. článku 36398. ISSN 2045-2322 R&D Projects: GA MŠk(CZ) LO1204; GA ČR GBP501/12/G090 Institutional support: RVO:61389030 Keywords : triticum-aestivum l. * fusarium crown rot * pan-genome * hexaploid wheat * bread wheat * draft genome * rna-seq * maize * transcriptome Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 4.259, year: 2016

  3. FungiDB: An Integrated Bioinformatic Resource for Fungi and Oomycetes

    Directory of Open Access Journals (Sweden)

    Evelina Y. Basenko

    2018-03-01

    Full Text Available FungiDB (fungidb.org is a free online resource for data mining and functional genomics analysis for fungal and oomycete species. FungiDB is part of the Eukaryotic Pathogen Genomics Database Resource (EuPathDB, eupathdb.org platform that integrates genomic, transcriptomic, proteomic, and phenotypic datasets, and other types of data for pathogenic and nonpathogenic, free-living and parasitic organisms. FungiDB is one of the largest EuPathDB databases containing nearly 100 genomes obtained from GenBank, Aspergillus Genome Database (AspGD, The Broad Institute, Joint Genome Institute (JGI, Ensembl, and other sources. FungiDB offers a user-friendly web interface with embedded bioinformatics tools that support custom in silico experiments that leverage FungiDB-integrated data. In addition, a Galaxy-based workspace enables users to generate custom pipelines for large-scale data analysis (e.g., RNA-Seq, variant calling, etc.. This review provides an introduction to the FungiDB resources and focuses on available features, tools, and queries and how they can be used to mine data across a diverse range of integrated FungiDB datasets and records.

  4. MIPS: a database for protein sequences and complete genomes.

    Science.gov (United States)

    Mewes, H W; Hani, J; Pfeiffer, F; Frishman, D

    1998-01-01

    The MIPS group [Munich Information Center for Protein Sequences of the German National Center for Environment and Health (GSF)] at the Max-Planck-Institute for Biochemistry, Martinsried near Munich, Germany, is involved in a number of data collection activities, including a comprehensive database of the yeast genome, a database reflecting the progress in sequencing the Arabidopsis thaliana genome, the systematic analysis of other small genomes and the collection of protein sequence data within the framework of the PIR-International Protein Sequence Database (described elsewhere in this volume). Through its WWW server (http://www.mips.biochem.mpg.de ) MIPS provides access to a variety of generic databases, including a database of protein families as well as automatically generated data by the systematic application of sequence analysis algorithms. The yeast genome sequence and its related information was also compiled on CD-ROM to provide dynamic interactive access to the 16 chromosomes of the first eukaryotic genome unraveled. PMID:9399795

  5. Genome-wide identification of significant aberrations in cancer genome.

    Science.gov (United States)

    Yuan, Xiguo; Yu, Guoqiang; Hou, Xuchu; Shih, Ie-Ming; Clarke, Robert; Zhang, Junying; Hoffman, Eric P; Wang, Roger R; Zhang, Zhen; Wang, Yue

    2012-07-27

    Somatic Copy Number Alterations (CNAs) in human genomes are present in almost all human cancers. Systematic efforts to characterize such structural variants must effectively distinguish significant consensus events from random background aberrations. Here we introduce Significant Aberration in Cancer (SAIC), a new method for characterizing and assessing the statistical significance of recurrent CNA units. Three main features of SAIC include: (1) exploiting the intrinsic correlation among consecutive probes to assign a score to each CNA unit instead of single probes; (2) performing permutations on CNA units that preserve correlations inherent in the copy number data; and (3) iteratively detecting Significant Copy Number Aberrations (SCAs) and estimating an unbiased null distribution by applying an SCA-exclusive permutation scheme. We test and compare the performance of SAIC against four peer methods (GISTIC, STAC, KC-SMART, CMDS) on a large number of simulation datasets. Experimental results show that SAIC outperforms peer methods in terms of larger area under the Receiver Operating Characteristics curve and increased detection power. We then apply SAIC to analyze structural genomic aberrations acquired in four real cancer genome-wide copy number data sets (ovarian cancer, metastatic prostate cancer, lung adenocarcinoma, glioblastoma). When compared with previously reported results, SAIC successfully identifies most SCAs known to be of biological significance and associated with oncogenes (e.g., KRAS, CCNE1, and MYC) or tumor suppressor genes (e.g., CDKN2A/B). Furthermore, SAIC identifies a number of novel SCAs in these copy number data that encompass tumor related genes and may warrant further studies. Supported by a well-grounded theoretical framework, SAIC has been developed and used to identify SCAs in various cancer copy number data sets, providing useful information to study the landscape of cancer genomes. Open-source and platform-independent SAIC software is

  6. ggbio: an R package for extending the grammar of graphics for genomic data

    Science.gov (United States)

    2012-01-01

    We introduce ggbio, a new methodology to visualize and explore genomics annotations and high-throughput data. The plots provide detailed views of genomic regions, summary views of sequence alignments and splicing patterns, and genome-wide overviews with karyogram, circular and grand linear layouts. The methods leverage the statistical functionality available in R, the grammar of graphics and the data handling capabilities of the Bioconductor project. The plots are specified within a modular framework that enables users to construct plots in a systematic way, and are generated directly from Bioconductor data structures. The ggbio R package is available at http://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html. PMID:22937822

  7. Comparative genomic and phylogenomic analyses of the Bifidobacteriaceae family

    Czech Academy of Sciences Publication Activity Database

    Lugli, G. A.; Milani, C.; Turroni, F.; Duranti, S.; Mancabelli, L.; Mangifesta, M.; Ferrario, C.; Modesto, M.; Mattarelli, P.; Killer, Jiří; van Sinderen, D.

    2017-01-01

    Roč. 18, č. 1 (2017), č. článku 568. ISSN 1471-2164 Institutional support: RVO:67985904 Keywords : Bifidobacteriaceae * genomics * phlogenomics Subject RIV: EE - Microbiology, Virology OBOR OECD: Microbiology Impact factor: 3.729, year: 2016

  8. Social and behavioral science priorities for genomic translation.

    Science.gov (United States)

    Koehly, Laura M; Persky, Susan; Spotts, Erica; Acca, Gillian

    2018-01-29

    This commentary highlights the essential role of the social and behavioral sciences for genomic translation, and discusses some priority research areas in this regard. The first area encompasses genetics of behavioral, social, and neurocognitive factors, and how integration of these relationships might impact the development of treatments and interventions. The second area includes the contributions that social and behavioral sciences make toward the informed translation of genomic developments. Further, there is a need for behavioral and social sciences to inform biomedical research for effective implementation. The third area speaks to the need for increased outreach and education efforts to improve the public's genomic literacy such that individuals and communities can make informed health-related and societal (e.g., in legal or consumer settings) decisions. Finally, there is a need to prioritize representation of diverse communities in genomics research and equity of access to genomic technologies. Examples from National Institutes of Health-based intramural and extramural research programs and initiatives are used to discuss these points. © Society of Behavioral Medicine 2018.

  9. PSP: rapid identification of orthologous coding genes under positive selection across multiple closely related prokaryotic genomes.

    Science.gov (United States)

    Su, Fei; Ou, Hong-Yu; Tao, Fei; Tang, Hongzhi; Xu, Ping

    2013-12-27

    With genomic sequences of many closely related bacterial strains made available by deep sequencing, it is now possible to investigate trends in prokaryotic microevolution. Positive selection is a sub-process of microevolution, in which a particular mutation is favored, causing the allele frequency to continuously shift in one direction. Wide scanning of prokaryotic genomes has shown that positive selection at the molecular level is much more frequent than expected. Genes with significant positive selection may play key roles in bacterial adaption to different environmental pressures. However, selection pressure analyses are computationally intensive and awkward to configure. Here we describe an open access web server, which is designated as PSP (Positive Selection analysis for Prokaryotic genomes) for performing evolutionary analysis on orthologous coding genes, specially designed for rapid comparison of dozens of closely related prokaryotic genomes. Remarkably, PSP facilitates functional exploration at the multiple levels by assignments and enrichments of KO, GO or COG terms. To illustrate this user-friendly tool, we analyzed Escherichia coli and Bacillus cereus genomes and found that several genes, which play key roles in human infection and antibiotic resistance, show significant evidence of positive selection. PSP is freely available to all users without any login requirement at: http://db-mml.sjtu.edu.cn/PSP/. PSP ultimately allows researchers to do genome-scale analysis for evolutionary selection across multiple prokaryotic genomes rapidly and easily, and identify the genes undergoing positive selection, which may play key roles in the interactions of host-pathogen and/or environmental adaptation.

  10. CHOgenome.org 2.0: Genome resources and website updates.

    Science.gov (United States)

    Kremkow, Benjamin G; Baik, Jong Youn; MacDonald, Madolyn L; Lee, Kelvin H

    2015-07-01

    Chinese hamster ovary (CHO) cells are a major host cell line for the production of therapeutic proteins, and CHO cell and Chinese hamster (CH) genomes have recently been sequenced using next-generation sequencing methods. CHOgenome.org was launched in 2011 (version 1.0) to serve as a database repository and to provide bioinformatics tools for the CHO community. CHOgenome.org (version 1.0) maintained GenBank CHO-K1 genome data, identified CHO-omics literature, and provided a CHO-specific BLAST service. Recent major updates to CHOgenome.org (version 2.0) include new sequence and annotation databases for both CHO and CH genomes, a more user-friendly website, and new research tools, including a proteome browser and a genome viewer. CHO cell-line specific sequences and annotations facilitate cell line development opportunities, several of which are discussed. Moving forward, CHOgenome.org will host the increasing amount of CHO-omics data and continue to make useful bioinformatics tools available to the CHO community. Copyright © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  11. HANARO user support

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jeong Soo; Kim, Y. J.; Seong B.S. [and others

    2003-06-01

    The purpose of this project is to support external user for the promotion of HANARO common utilization effectively. To do this, external manpower was recruited and trained. Also, in order to find out and cultivate HANARO user, practice-oriented education was done. The total number of project selected as the promotion of HANARO common utilization was 31 in this year. These composed of four fields such as neutron beam utilization, materials/nuclear materials irradiation test, neutron activation analysis and radioisotope production. In each field, the numbers of project were 17, 7, 4 and 3 respectively. At first, from a selected project of view, supporting ratio by external manpower was reached to the 58%, that is, 18 out of 31 project was supported. In each field, it was 82% for neutron beam utilization and 100% for neutron activation analysis. Also, from the utilization time point of view, supporting ratio of external manpower was reached to 30% for neutron beam utilization and 59% for neutron activation analysis. Otherwise, supporting ratio by manpower in KAERI was reached to 97%, that is, 30 out of 31 project was supported. Also, from the utilization time point of view, total supporting ratio was reached to 15%. In each field, it was 20% for neutron beam utilization, 18% for materials/nuclear materials irradiation test, 20% for neutron activation analysis and 6% for radioisotope production. In order to contribute finding and cultivating of HANARO potential user and increase utilization ratio of HANARO experimental facility, practice-oriented HANARO user education has been done. At first, 32 participants from industries, universities, institutes were educated and practiced on HRPD/SANS instrument in the field of neutron beam utilization. Otherwise, in order to support external user effectively, external manpower were trained. Also, more effective support for external user could be possible through the grasping difficulty and problem on the performance of project

  12. HANARO user support

    International Nuclear Information System (INIS)

    Lee, Jeong Soo; Kim, Y. J.; Seong B.S.

    2003-06-01

    The purpose of this project is to support external user for the promotion of HANARO common utilization effectively. To do this, external manpower was recruited and trained. Also, in order to find out and cultivate HANARO user, practice-oriented education was done. The total number of project selected as the promotion of HANARO common utilization was 31 in this year. These composed of four fields such as neutron beam utilization, materials/nuclear materials irradiation test, neutron activation analysis and radioisotope production. In each field, the numbers of project were 17, 7, 4 and 3 respectively. At first, from a selected project of view, supporting ratio by external manpower was reached to the 58%, that is, 18 out of 31 project was supported. In each field, it was 82% for neutron beam utilization and 100% for neutron activation analysis. Also, from the utilization time point of view, supporting ratio of external manpower was reached to 30% for neutron beam utilization and 59% for neutron activation analysis. Otherwise, supporting ratio by manpower in KAERI was reached to 97%, that is, 30 out of 31 project was supported. Also, from the utilization time point of view, total supporting ratio was reached to 15%. In each field, it was 20% for neutron beam utilization, 18% for materials/nuclear materials irradiation test, 20% for neutron activation analysis and 6% for radioisotope production. In order to contribute finding and cultivating of HANARO potential user and increase utilization ratio of HANARO experimental facility, practice-oriented HANARO user education has been done. At first, 32 participants from industries, universities, institutes were educated and practiced on HRPD/SANS instrument in the field of neutron beam utilization. Otherwise, in order to support external user effectively, external manpower were trained. Also, more effective support for external user could be possible through the grasping difficulty and problem on the performance of project

  13. Performance improvement of per-user threshold based multiuser switched scheduling system

    KAUST Repository

    Nam, Haewoon

    2013-01-01

    SUMMARY This letter proposes a multiuser switched scheduling scheme with per-user threshold and post user selection and provides a generic analytical framework for determining the optimal feedback thresholds. The proposed scheme applies an individual feedback threshold for each user rather than a single common threshold for all users to achieve some capacity gain due to the flexibility of threshold selection as well as a lower scheduling outage probability. In addition, since scheduling outage may occur with a non-negligible probability, the proposed scheme employs post user selection in order to further improve the ergodic capacity, where the user with the highest potential for a higher channel quality than other users is selected. Numerical and simulation results show that the capacity gain by post user selection is significant when random sequence is used. Copyright © 2013 The Institute of Electronics, Information and Communication Engineers.

  14. A Survey of the Perception of the Services of Micro Finance Institutions by the Female Service Users in Benin City, South-South, Nigeria

    Directory of Open Access Journals (Sweden)

    Ernest Osas Ugiagbe

    2014-04-01

    Full Text Available The study examines the perceptions of the services of the micro finance Institutions by the women service users, and how the services of micro Institutions affect businesses of the beneficiaries of the micro credit loans. The research design for the study was the survey method. The instruments of data collection were structured questionnaires and in-depth interview. A total of 450 questionnaires were administered to the female participants, and senior management personnel of the micro credit institutions were interviewed. The cluster and simple random sampling were used to select the participants for the study. The leaders of registered unions were the informants.  The result reveals that the poor services and attitude of officials of micro finance institutions and other problems like the regressive tax regimes, harsh economic climate and patriarchy are negatively affecting the business ventures of the loan beneficiaries and by implication the goals of poverty reduction via micro credit scheme . The women beneficiaries are groaning under the burden of loan repayment and meeting other obligations as mothers and wives. This study is applicable in the context of social policy development at this time when social services delivery is not only poor but at dismal level. The need for gender sensitive and social development becomes imperative. It is critical to social work practice in the context of advocacy, empowerment programs, facilitating and initiating service delivery and Community organizing by social workers that will enhance the war against Poverty and other social impediments against women empowerment in Nigeria.  Normal 0 false false false EN-GB X-NONE X-NONE

  15. The genomic applications in practice and prevention network.

    Science.gov (United States)

    Khoury, Muin J; Feero, W Gregory; Reyes, Michele; Citrin, Toby; Freedman, Andrew; Leonard, Debra; Burke, Wylie; Coates, Ralph; Croyle, Robert T; Edwards, Karen; Kardia, Sharon; McBride, Colleen; Manolio, Teri; Randhawa, Gurvaneet; Rasooly, Rebekah; St Pierre, Jeannette; Terry, Sharon

    2009-07-01

    The authors describe the rationale and initial development of a new collaborative initiative, the Genomic Applications in Practice and Prevention Network. The network convened by the Centers for Disease Control and Prevention and the National Institutes of Health includes multiple stakeholders from academia, government, health care, public health, industry and consumers. The premise of Genomic Applications in Practice and Prevention Network is that there is an unaddressed chasm between gene discoveries and demonstration of their clinical validity and utility. This chasm is due to the lack of readily accessible information about the utility of most genomic applications and the lack of necessary knowledge by consumers and providers to implement what is known. The mission of Genomic Applications in Practice and Prevention Network is to accelerate and streamline the effective integration of validated genomic knowledge into the practice of medicine and public health, by empowering and sponsoring research, evaluating research findings, and disseminating high quality information on candidate genomic applications in practice and prevention. Genomic Applications in Practice and Prevention Network will develop a process that links ongoing collection of information on candidate genomic applications to four crucial domains: (1) knowledge synthesis and dissemination for new and existing technologies, and the identification of knowledge gaps, (2) a robust evidence-based recommendation development process, (3) translation research to evaluate validity, utility and impact in the real world and how to disseminate and implement recommended genomic applications, and (4) programs to enhance practice, education, and surveillance.

  16. Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool

    Directory of Open Access Journals (Sweden)

    Katherine Wendelsdorf

    2015-09-01

    Full Text Available There is on-going effort in the biomedical research community to leverage Next Generation Sequencing (NGS technology to identify genetic variants that affect our health. The main challenge facing researchers is getting enough samples from individuals either sick or healthy – to be able to reliably identify the few variants that are causal for a phenotype among all other variants typically seen among individuals. At the same time, more and more individuals are having their genome sequenced either out of curiosity or to identify the cause of an illness. These individuals may benefit from of a way to view and understand their data. QIAGEN's Ingenuity Variant Analysis is an online application that allows users with and without extensive bioinformatics training to incorporate information from published experiments, genetic databases, and a variety of statistical models to identify variants, from a long list of candidates, that are most likely causal for a phenotype as well as annotate variants with what is already known about them in the literature and databases. Ingenuity Variant Analysis is also an information sharing platform where users may exchange samples and analyses. The Empowered Genome Community (EGC is a new program in which QIAGEN is making this on-line tool freely available to any individual who wishes to analyze their own genetic sequence. EGC members are then able to make their data available to other Ingenuity Variant Analysis users to be used in research. Here we present and describe the Empowered Genome Community in detail. We also present a preliminary, proof-of-concept study that utilizes the 200 genomes currently available through the EGC. The goal of this program is to allow individuals to access and understand their own data as well as facilitate citizen–scientist collaborations that can drive research forward and spur quality scientific dialogue in the general public.

  17. Empowered genome community: leveraging a bioinformatics platform as a citizen-scientist collaboration tool.

    Science.gov (United States)

    Wendelsdorf, Katherine; Shah, Sohela

    2015-09-01

    There is on-going effort in the biomedical research community to leverage Next Generation Sequencing (NGS) technology to identify genetic variants that affect our health. The main challenge facing researchers is getting enough samples from individuals either sick or healthy - to be able to reliably identify the few variants that are causal for a phenotype among all other variants typically seen among individuals. At the same time, more and more individuals are having their genome sequenced either out of curiosity or to identify the cause of an illness. These individuals may benefit from of a way to view and understand their data. QIAGEN's Ingenuity Variant Analysis is an online application that allows users with and without extensive bioinformatics training to incorporate information from published experiments, genetic databases, and a variety of statistical models to identify variants, from a long list of candidates, that are most likely causal for a phenotype as well as annotate variants with what is already known about them in the literature and databases. Ingenuity Variant Analysis is also an information sharing platform where users may exchange samples and analyses. The Empowered Genome Community (EGC) is a new program in which QIAGEN is making this on-line tool freely available to any individual who wishes to analyze their own genetic sequence. EGC members are then able to make their data available to other Ingenuity Variant Analysis users to be used in research. Here we present and describe the Empowered Genome Community in detail. We also present a preliminary, proof-of-concept study that utilizes the 200 genomes currently available through the EGC. The goal of this program is to allow individuals to access and understand their own data as well as facilitate citizen-scientist collaborations that can drive research forward and spur quality scientific dialogue in the general public.

  18. The Proteins API: accessing key integrated protein and genome information.

    Science.gov (United States)

    Nightingale, Andrew; Antunes, Ricardo; Alpi, Emanuele; Bursteinas, Borisas; Gonzales, Leonardo; Liu, Wudong; Luo, Jie; Qi, Guoying; Turner, Edd; Martin, Maria

    2017-07-03

    The Proteins API provides searching and programmatic access to protein and associated genomics data such as curated protein sequence positional annotations from UniProtKB, as well as mapped variation and proteomics data from large scale data sources (LSS). Using the coordinates service, researchers are able to retrieve the genomic sequence coordinates for proteins in UniProtKB. This, the LSS genomics and proteomics data for UniProt proteins is programmatically only available through this service. A Swagger UI has been implemented to provide documentation, an interface for users, with little or no programming experience, to 'talk' to the services to quickly and easily formulate queries with the services and obtain dynamically generated source code for popular programming languages, such as Java, Perl, Python and Ruby. Search results are returned as standard JSON, XML or GFF data objects. The Proteins API is a scalable, reliable, fast, easy to use RESTful services that provides a broad protein information resource for users to ask questions based upon their field of expertise and allowing them to gain an integrated overview of protein annotations available to aid their knowledge gain on proteins in biological processes. The Proteins API is available at (http://www.ebi.ac.uk/proteins/api/doc). © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  19. User Behaviours Associated with Password Security and Management

    Directory of Open Access Journals (Sweden)

    Kay Bryant

    2006-11-01

    Full Text Available Control mechanisms established on the boundary of an information system are an important preliminary step to minimising losses from security breaches. The primary function of such controls is to restrict the use of information systems and resources to authorized users. Password-based systems remain the predominant method of user authentication despite the many sophisticated and viable security alternatives that have emerged from research and development. However, the literature shows that passwords are often compromised through the poor security and management practices of users. This paper examines user password composition and security practices for email accounts. The results of a survey that examines user practice in creating and using passwords are reported. The results show that many users know about the risks of hackers, viruses and so on and take preliminary steps to combat them such as having passwords longer than eight characters. However, this appears to be as far as many users are willing to accede to the probability that their information and computing resources can be compromised. This paper makes some recommendations for the education of users in creating and maintaining their passwords. The responsibility for these educational programs can be shared between governments, organisations, educational institutions at all levels, and software vendors.

  20. Framing Creativity. User-driven Innovation in Changing Contexts

    DEFF Research Database (Denmark)

    Helms, Niels Henrik; Heilesen, Simon

    2011-01-01

    -project). After briefly discussing the concepts of creativity and innovation, the article outlines three levels of analysis. On a meta-level, a new model of quadruple helix innovation is introduced, providing a framework for interrelations between enterprise, government, knowledge institutions, and users...

  1. WGSSAT: A High-Throughput Computational Pipeline for Mining and Annotation of SSR Markers From Whole Genomes.

    Science.gov (United States)

    Pandey, Manmohan; Kumar, Ravindra; Srivastava, Prachi; Agarwal, Suyash; Srivastava, Shreya; Nagpure, Naresh S; Jena, Joy K; Kushwaha, Basdeo

    2018-03-16

    Mining and characterization of Simple Sequence Repeat (SSR) markers from whole genomes provide valuable information about biological significance of SSR distribution and also facilitate development of markers for genetic analysis. Whole genome sequencing (WGS)-SSR Annotation Tool (WGSSAT) is a graphical user interface pipeline developed using Java Netbeans and Perl scripts which facilitates in simplifying the process of SSR mining and characterization. WGSSAT takes input in FASTA format and automates the prediction of genes, noncoding RNA (ncRNA), core genes, repeats and SSRs from whole genomes followed by mapping of the predicted SSRs onto a genome (classified according to genes, ncRNA, repeats, exonic, intronic, and core gene region) along with primer identification and mining of cross-species markers. The program also generates a detailed statistical report along with visualization of mapped SSRs, genes, core genes, and RNAs. The features of WGSSAT were demonstrated using Takifugu rubripes data. This yielded a total of 139 057 SSR, out of which 113 703 SSR primer pairs were uniquely amplified in silico onto a T. rubripes (fugu) genome. Out of 113 703 mined SSRs, 81 463 were from coding region (including 4286 exonic and 77 177 intronic), 7 from RNA, 267 from core genes of fugu, whereas 105 641 SSR and 601 SSR primer pairs were uniquely mapped onto the medaka genome. WGSSAT is tested under Ubuntu Linux. The source code, documentation, user manual, example dataset and scripts are available online at https://sourceforge.net/projects/wgssat-nbfgr.

  2. User Interface of MUDR Electronic Health Record

    Czech Academy of Sciences Publication Activity Database

    Hanzlíček, Petr; Špidlen, Josef; Heroutová, Helena; Nagy, Miroslav

    2005-01-01

    Roč. 74, - (2005), s. 221-227 ISSN 1386-5056 R&D Projects: GA MŠk LN00B107 Institutional research plan: CEZ:AV0Z10300504 Keywords : electronic health record * user interface * data entry * knowledge base Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 1.374, year: 2005

  3. Museums and cultural institutions as spaces for Cultural Citizenship

    DEFF Research Database (Denmark)

    Bernhardt, Nana; Sattrup, Lise

    2014-01-01

    How can museums and cultural institutions make a stronger impact as democratic educational institutions; as places where knowledge is not just something that is presented and put at the disposal of visitors, but actually created through interaction between museums and users? How can active partic...... participation, self-reflection, and multivoicedness be integrated into the museum’s practice and potentially provide a space for cultural citizenship?...

  4. PGSB/MIPS PlantsDB Database Framework for the Integration and Analysis of Plant Genome Data.

    Science.gov (United States)

    Spannagl, Manuel; Nussbaumer, Thomas; Bader, Kai; Gundlach, Heidrun; Mayer, Klaus F X

    2017-01-01

    Plant Genome and Systems Biology (PGSB), formerly Munich Institute for Protein Sequences (MIPS) PlantsDB, is a database framework for the integration and analysis of plant genome data, developed and maintained for more than a decade now. Major components of that framework are genome databases and analysis resources focusing on individual (reference) genomes providing flexible and intuitive access to data. Another main focus is the integration of genomes from both model and crop plants to form a scaffold for comparative genomics, assisted by specialized tools such as the CrowsNest viewer to explore conserved gene order (synteny). Data exchange and integrated search functionality with/over many plant genome databases is provided within the transPLANT project.

  5. Framework for development of physician competencies in genomic medicine: report of the Competencies Working Group of the Inter-Society Coordinating Committee for Physician Education in Genomics.

    Science.gov (United States)

    Korf, Bruce R; Berry, Anna B; Limson, Melvin; Marian, Ali J; Murray, Michael F; O'Rourke, P Pearl; Passamani, Eugene R; Relling, Mary V; Tooker, John; Tsongalis, Gregory J; Rodriguez, Laura L

    2014-11-01

    Completion of the Human Genome Project, in conjunction with dramatic reductions in the cost of DNA sequencing and advances in translational research, is gradually ushering genomic discoveries and technologies into the practice of medicine. The rapid pace of these advances is opening up a gap between the knowledge available about the clinical relevance of genomic information and the ability of clinicians to include such information in their medical practices. This educational gap threatens to be rate limiting to the clinical adoption of genomics in medicine. Solutions will require not only a better understanding of the clinical implications of genetic discoveries but also training in genomics at all levels of professional development, including for individuals in formal training and others who long ago completed such training. The National Human Genome Research Institute has convened the Inter-Society Coordinating Committee for Physician Education in Genomics (ISCC) to develop and share best practices in the use of genomics in medicine. The ISCC has developed a framework for development of genomics practice competencies that may serve as a starting point for formulation of competencies for physicians in various medical disciplines.

  6. A Strategic Analysis of Investment Opportunities within British Columbia's Private Healthcare Sector for a Non-Profit Genomics Research Organization

    OpenAIRE

    Barclay, John W.

    2010-01-01

    Advances in the genome sciences are leading to the development of new healthcare innovations relevant to the principles of personalized medicine. Genome BC, a non-profit research organization, invests in projects that will help facilitate the integration of these innovations into the delivery of healthcare. This analysis assesses the strategic positioning of private healthcare firms in BC to be early users of such innovations. The analysis assesses the suitability of investment from Genome BC...

  7. Genomic impact of eukaryotic transposable elements.

    Science.gov (United States)

    Arkhipova, Irina R; Batzer, Mark A; Brosius, Juergen; Feschotte, Cédric; Moran, John V; Schmitz, Jürgen; Jurka, Jerzy

    2012-11-21

    The third international conference on the genomic impact of eukaryotic transposable elements (TEs) was held 24 to 28 February 2012 at the Asilomar Conference Center, Pacific Grove, CA, USA. Sponsored in part by the National Institutes of Health grant 5 P41 LM006252, the goal of the conference was to bring together researchers from around the world who study the impact and mechanisms of TEs using multiple computational and experimental approaches. The meeting drew close to 170 attendees and included invited floor presentations on the biology of TEs and their genomic impact, as well as numerous talks contributed by young scientists. The workshop talks were devoted to computational analysis of TEs with additional time for discussion of unresolved issues. Also, there was ample opportunity for poster presentations and informal evening discussions. The success of the meeting reflects the important role of Repbase in comparative genomic studies, and emphasizes the need for close interactions between experimental and computational biologists in the years to come.

  8. International team with Virginia Tech participation maps genome of dengue and yellow fever mosquito

    OpenAIRE

    Trulove, Susan

    2007-01-01

    Developing new strategies to prevent and control yellow fever and dengue fever has become more possible with the completion of the first draft of the genome sequence of Aedes aegypti mosquito by scientists led by Vishvanath Nene at The Institute for Genomic Research (TIGR) and David Severson at the University of Notre Dame. The genome is the complete set of genetic material including genes and other segments of DNA in an organism.

  9. An Ontology-Based GIS for Genomic Data Management of Rumen Microbes

    Directory of Open Access Journals (Sweden)

    Saber Jelokhani-Niaraki

    2015-03-01

    Full Text Available During recent years, there has been exponential growth in biological information. With the emergence of large datasets in biology, life scientists are encountering bottlenecks in handling the biological data. This study presents an integrated geographic information system (GIS-ontology application for handling microbial genome data. The application uses a linear referencing technique as one of the GIS functionalities to represent genes as linear events on the genome layer, where users can define/change the attributes of genes in an event table and interactively see the gene events on a genome layer. Our application adopted ontology to portray and store genomic data in a semantic framework, which facilitates data-sharing among biology domains, applications, and experts. The application was developed in two steps. In the first step, the genome annotated data were prepared and stored in a MySQL database. The second step involved the connection of the database to both ArcGIS and Protégé as the GIS engine and ontology platform, respectively. We have designed this application specifically to manage the genome-annotated data of rumen microbial populations. Such a GIS-ontology application offers powerful capabilities for visualizing, managing, reusing, sharing, and querying genome-related data.

  10. An Ontology-Based GIS for Genomic Data Management of Rumen Microbes

    Science.gov (United States)

    Jelokhani-Niaraki, Saber; Minuchehr, Zarrin; Nassiri, Mohammad Reza

    2015-01-01

    During recent years, there has been exponential growth in biological information. With the emergence of large datasets in biology, life scientists are encountering bottlenecks in handling the biological data. This study presents an integrated geographic information system (GIS)-ontology application for handling microbial genome data. The application uses a linear referencing technique as one of the GIS functionalities to represent genes as linear events on the genome layer, where users can define/change the attributes of genes in an event table and interactively see the gene events on a genome layer. Our application adopted ontology to portray and store genomic data in a semantic framework, which facilitates data-sharing among biology domains, applications, and experts. The application was developed in two steps. In the first step, the genome annotated data were prepared and stored in a MySQL database. The second step involved the connection of the database to both ArcGIS and Protégé as the GIS engine and ontology platform, respectively. We have designed this application specifically to manage the genome-annotated data of rumen microbial populations. Such a GIS-ontology application offers powerful capabilities for visualizing, managing, reusing, sharing, and querying genome-related data. PMID:25873847

  11. xGDBvm: A Web GUI-Driven Workflow for Annotating Eukaryotic Genomes in the Cloud[OPEN

    Science.gov (United States)

    Merchant, Nirav

    2016-01-01

    Genome-wide annotation of gene structure requires the integration of numerous computational steps. Currently, annotation is arguably best accomplished through collaboration of bioinformatics and domain experts, with broad community involvement. However, such a collaborative approach is not scalable at today’s pace of sequence generation. To address this problem, we developed the xGDBvm software, which uses an intuitive graphical user interface to access a number of common genome analysis and gene structure tools, preconfigured in a self-contained virtual machine image. Once their virtual machine instance is deployed through iPlant’s Atmosphere cloud services, users access the xGDBvm workflow via a unified Web interface to manage inputs, set program parameters, configure links to high-performance computing (HPC) resources, view and manage output, apply analysis and editing tools, or access contextual help. The xGDBvm workflow will mask the genome, compute spliced alignments from transcript and/or protein inputs (locally or on a remote HPC cluster), predict gene structures and gene structure quality, and display output in a public or private genome browser complete with accessory tools. Problematic gene predictions are flagged and can be reannotated using the integrated yrGATE annotation tool. xGDBvm can also be configured to append or replace existing data or load precomputed data. Multiple genomes can be annotated and displayed, and outputs can be archived for sharing or backup. xGDBvm can be adapted to a variety of use cases including de novo genome annotation, reannotation, comparison of different annotations, and training or teaching. PMID:27020957

  12. Scribl: an HTML5 Canvas-based graphics library for visualizing genomic data over the web.

    Science.gov (United States)

    Miller, Chase A; Anthony, Jon; Meyer, Michelle M; Marth, Gabor

    2013-02-01

    High-throughput biological research requires simultaneous visualization as well as analysis of genomic data, e.g. read alignments, variant calls and genomic annotations. Traditionally, such integrative analysis required desktop applications operating on locally stored data. Many current terabyte-size datasets generated by large public consortia projects, however, are already only feasibly stored at specialist genome analysis centers. As even small laboratories can afford very large datasets, local storage and analysis are becoming increasingly limiting, and it is likely that most such datasets will soon be stored remotely, e.g. in the cloud. These developments will require web-based tools that enable users to access, analyze and view vast remotely stored data with a level of sophistication and interactivity that approximates desktop applications. As rapidly dropping cost enables researchers to collect data intended to answer questions in very specialized contexts, developers must also provide software libraries that empower users to implement customized data analyses and data views for their particular application. Such specialized, yet lightweight, applications would empower scientists to better answer specific biological questions than possible with general-purpose genome browsers currently available. Using recent advances in core web technologies (HTML5), we developed Scribl, a flexible genomic visualization library specifically targeting coordinate-based data such as genomic features, DNA sequence and genetic variants. Scribl simplifies the development of sophisticated web-based graphical tools that approach the dynamism and interactivity of desktop applications. Software is freely available online at http://chmille4.github.com/Scribl/ and is implemented in JavaScript with all modern browsers supported.

  13. User Facilities of the Office of Basic Energy Sciences: A National Resource for Scientific Research

    Energy Technology Data Exchange (ETDEWEB)

    None

    2009-01-01

    The BES user facilities provide open access to specialized instrumentation and expertise that enable scientific users from universities, national laboratories, and industry to carry out experiments and develop theories that could not be done at their home institutions. These forefront research facilities require resource commitments well beyond the scope of any non-government institution and open up otherwise inaccessible facets of Nature to scientific inquiry. For approved, peer-reviewed projects, instrument time is available without charge to researchers who intend to publish their results in the open literature. These large-scale user facilities have made significant contributions to various scientific fields, including chemistry, physics, geology, materials science, environmental science, biology, and biomedical science. Over 16,000 scientists and engineers.pdf file (27KB) conduct experiments at BES user facilities annually. Thousands of other researchers collaborate with these users and analyze the data measured at the facilities to publish new scientific findings in peer-reviewed journals.

  14. MSTS. Multiphase Subsurface Transport Simulator User`s Guide and Reference

    Energy Technology Data Exchange (ETDEWEB)

    Nichols, W.E.; White, M.D.

    1993-05-01

    This User`s Guide and Reference provides information and instructions on the use of the Multiphase Subsurface Transport Simulator (MSTS) code and the associated MSTS Graphical Input. The MSTS code is used to simulate water flow, air flow, heat transfer, and dilute species mass transport in variably saturated geologic media for one, two, or three dimensions using an integrated finite-difference numerical scheme. Any or all of these processes may be simulated in a fully coupled manner. MSTS is a two-phase, two-component code with secondary processes that include binary diffusion and vapor pressure lowering. The geologic media may be homogeneous or heterogeneous, isotropic or anisotropic, and unfractured or highly fractured. A problem geometry may be described by either Cartesian or cylindrical coordinates. MSTS is written in FORTRAN 77, following the American National Standards Institute (ANSI) standards, and is machine-independent with the exception of some time and date calls required for quality control (provisions are made in the code for relatively easy adoption to a number of machines for these calls).

  15. Unexplored therapeutic opportunities in the human genome.

    Science.gov (United States)

    Oprea, Tudor I; Bologa, Cristian G; Brunak, Søren; Campbell, Allen; Gan, Gregory N; Gaulton, Anna; Gomez, Shawn M; Guha, Rajarshi; Hersey, Anne; Holmes, Jayme; Jadhav, Ajit; Jensen, Lars Juhl; Johnson, Gary L; Karlson, Anneli; Leach, Andrew R; Ma'ayan, Avi; Malovannaya, Anna; Mani, Subramani; Mathias, Stephen L; McManus, Michael T; Meehan, Terrence F; von Mering, Christian; Muthas, Daniel; Nguyen, Dac-Trung; Overington, John P; Papadatos, George; Qin, Jun; Reich, Christian; Roth, Bryan L; Schürer, Stephan C; Simeonov, Anton; Sklar, Larry A; Southall, Noel; Tomita, Susumu; Tudose, Ilinca; Ursu, Oleg; Vidovic, Dušica; Waller, Anna; Westergaard, David; Yang, Jeremy J; Zahoránszky-Köhalmi, Gergely

    2018-05-01

    A large proportion of biomedical research and the development of therapeutics is focused on a small fraction of the human genome. In a strategic effort to map the knowledge gaps around proteins encoded by the human genome and to promote the exploration of currently understudied, but potentially druggable, proteins, the US National Institutes of Health launched the Illuminating the Druggable Genome (IDG) initiative in 2014. In this article, we discuss how the systematic collection and processing of a wide array of genomic, proteomic, chemical and disease-related resource data by the IDG Knowledge Management Center have enabled the development of evidence-based criteria for tracking the target development level (TDL) of human proteins, which indicates a substantial knowledge deficit for approximately one out of three proteins in the human proteome. We then present spotlights on the TDL categories as well as key drug target classes, including G protein-coupled receptors, protein kinases and ion channels, which illustrate the nature of the unexplored opportunities for biomedical research and therapeutic development.

  16. Effectiveness of groundwater governance structures and institutions in Tanzania

    Science.gov (United States)

    Gudaga, J. L.; Kabote, S. J.; Tarimo, A. K. P. R.; Mosha, D. B.; Kashaigili, J. J.

    2018-05-01

    This paper examines effectiveness of groundwater governance structures and institutions in Mbarali District, Mbeya Region. The paper adopts exploratory sequential research design to collect quantitative and qualitative data. A random sample of 90 groundwater users with 50% women was involved in the survey. Descriptive statistics, Kruskal-Wallis H test and Mann-Whitney U test were used to compare the differences in responses between groups, while qualitative data were subjected to content analysis. The results show that the Village Councils and Community Water Supply Organizations (COWSOs) were effective in governing groundwater. The results also show statistical significant difference on the overall extent of effectiveness of the Village Councils in governing groundwater between villages ( P = 0.0001), yet there was no significant difference ( P > 0.05) between male and female responses on the effectiveness of Village Councils, village water committees and COWSOs. The Mann-Whitney U test showed statistical significant difference between male and female responses on effectiveness of formal and informal institutions ( P = 0.0001), such that informal institutions were effective relative to formal institutions. The Kruskal-Wallis H test also showed statistical significant difference ( P ≤ 0.05) on the extent of effectiveness of formal institutions, norms and values between low, medium and high categories. The paper concludes that COWSOs were more effective in governing groundwater than other groundwater governance structures. Similarly, norms and values were more effective than formal institutions. The paper recommends sensitization and awareness creation on formal institutions so that they can influence water users' behaviour to govern groundwater.

  17. Draft genome sequence of an elite Dura palm and whole-genome patterns of DNA variation in oil palm.

    Science.gov (United States)

    Jin, Jingjing; Lee, May; Bai, Bin; Sun, Yanwei; Qu, Jing; Rahmadsyah; Alfiko, Yuzer; Lim, Chin Huat; Suwanto, Antonius; Sugiharti, Maria; Wong, Limsoon; Ye, Jian; Chua, Nam-Hai; Yue, Gen Hua

    2016-12-01

    Oil palm is the world's leading source of vegetable oil and fat. Dura, Pisifera and Tenera are three forms of oil palm. The genome sequence of Pisifera is available whereas the Dura form has not been sequenced yet. We sequenced the genome of one elite Dura palm, and re-sequenced 17 palm genomes. The assemble genome sequence of the elite Dura tree contained 10,971 scaffolds and was 1.701 Gb in length, covering 94.49% of the oil palm genome. 36,105 genes were predicted. Re-sequencing of 17 additional palm trees identified 18.1 million SNPs. We found high genetic variation among palms from different geographical regions, but lower variation among Southeast Asian Dura and Pisifera palms. We mapped 10,000 SNPs on the linkage map of oil palm. In addition, high linkage disequilibrium (LD) was detected in the oil palms used in breeding populations of Southeast Asia, suggesting that LD mapping is likely to be practical in this important oil crop. Our data provide a valuable resource for accelerating genetic improvement and studying the mechanism underlying phenotypic variations of important oil palm traits. © The Author 2016. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

  18. From simple to supercomplex: mitochondrial genomes of euglenozoan protists

    Czech Academy of Sciences Publication Activity Database

    Faktorová, Drahomíra; Dobáková, Eva; Peña-Diaz, Priscila; Lukeš, Julius

    2016-01-01

    Roč. 5, 15 NOV (2016), č. článku 392. ISSN 2046-1402 R&D Projects: GA ČR GA15-21974S Institutional support: RVO:60077344 Keywords : euglenozoa * mitochondria * mitochondrial genome Subject RIV: EB - Genetics ; Molecular Biology

  19. Universal service in Vietnam: An institutional approach

    DEFF Research Database (Denmark)

    Do Manh, Thai; Falch, Morten

    2018-01-01

    Applying institutional theory to look at the Program 74 (a universal service policy) in Vietnam, this paper concludes that the Vietnamese universal service policy was strongly affected by formal institutional factors (the international agreements and the directives of the Communist Party of Vietnam...... - CPV), in which the international agreements played a leading role and the CPV’s directives played a guarantee role. The formulation and implementation of the universal service policy in Vietnam were mainly concentrated on action at levels 2 and 3 (formal and informal institutional arrangement......, and formal institutional environment). The paper recommends that nations favouring a top-down approach not based on a market-oriented regime should deregulate and emphasize the role of provincial governments as well as encourage private sectors/social organizations and rural users to be more involved...

  20. Implications of Web 2.0 for financial institutions: Be a driver, not a passenger

    OpenAIRE

    Heng, Stefan; Meyer, Thomas; Stobbe, Antje

    2007-01-01

    Web 2.0 heralds a new era of communication with a massive increase in information supply and where news, opinion and services flow directly from user to user. Financial institutions can take advantage if they stay abreast of this development. However, any Web 2.0 presence of a financial institution must be authentic and consistent with the institution’s brand and corporate culture. To leverage the potential, the need for an immaculate reputation and the right type of brand is becoming ever mo...

  1. BRAD, the genetics and genomics database for Brassica plants

    Directory of Open Access Journals (Sweden)

    Li Pingxia

    2011-10-01

    Full Text Available Abstract Background Brassica species include both vegetable and oilseed crops, which are very important to the daily life of common human beings. Meanwhile, the Brassica species represent an excellent system for studying numerous aspects of plant biology, specifically for the analysis of genome evolution following polyploidy, so it is also very important for scientific research. Now, the genome of Brassica rapa has already been assembled, it is the time to do deep mining of the genome data. Description BRAD, the Brassica database, is a web-based resource focusing on genome scale genetic and genomic data for important Brassica crops. BRAD was built based on the first whole genome sequence and on further data analysis of the Brassica A genome species, Brassica rapa (Chiifu-401-42. It provides datasets, such as the complete genome sequence of B. rapa, which was de novo assembled from Illumina GA II short reads and from BAC clone sequences, predicted genes and associated annotations, non coding RNAs, transposable elements (TE, B. rapa genes' orthologous to those in A. thaliana, as well as genetic markers and linkage maps. BRAD offers useful searching and data mining tools, including search across annotation datasets, search for syntenic or non-syntenic orthologs, and to search the flanking regions of a certain target, as well as the tools of BLAST and Gbrowse. BRAD allows users to enter almost any kind of information, such as a B. rapa or A. thaliana gene ID, physical position or genetic marker. Conclusion BRAD, a new database which focuses on the genetics and genomics of the Brassica plants has been developed, it aims at helping scientists and breeders to fully and efficiently use the information of genome data of Brassica plants. BRAD will be continuously updated and can be accessed through http://brassicadb.org.

  2. Targeted Porcine Genome Engineering with TALENs

    DEFF Research Database (Denmark)

    Luo, Yonglun; Lin, Lin; Golas, Mariola Monika

    2015-01-01

    confers precisely editing (e.g., mutations or indels) or insertion of a functional transgenic cassette to user-designed loci. Techniques for targeted genome engineering are growing dramatically and include, e.g., zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs......, including construction of sequence-specific TALENs, delivery of TALENs into primary porcine fibroblasts, and detection of TALEN-mediated cleavage, is described. This chapter is useful for scientists who are inexperienced with TALEN engineering of porcine cells as well as of other large animals....

  3. Brassica database (BRAD) version 2.0: integrating and mining Brassicaceae species genomic resources.

    Science.gov (United States)

    Wang, Xiaobo; Wu, Jian; Liang, Jianli; Cheng, Feng; Wang, Xiaowu

    2015-01-01

    The Brassica database (BRAD) was built initially to assist users apply Brassica rapa and Arabidopsis thaliana genomic data efficiently to their research. However, many Brassicaceae genomes have been sequenced and released after its construction. These genomes are rich resources for comparative genomics, gene annotation and functional evolutionary studies of Brassica crops. Therefore, we have updated BRAD to version 2.0 (V2.0). In BRAD V2.0, 11 more Brassicaceae genomes have been integrated into the database, namely those of Arabidopsis lyrata, Aethionema arabicum, Brassica oleracea, Brassica napus, Camelina sativa, Capsella rubella, Leavenworthia alabamica, Sisymbrium irio and three extremophiles Schrenkiella parvula, Thellungiella halophila and Thellungiella salsuginea. BRAD V2.0 provides plots of syntenic genomic fragments between pairs of Brassicaceae species, from the level of chromosomes to genomic blocks. The Generic Synteny Browser (GBrowse_syn), a module of the Genome Browser (GBrowse), is used to show syntenic relationships between multiple genomes. Search functions for retrieving syntenic and non-syntenic orthologs, as well as their annotation and sequences are also provided. Furthermore, genome and annotation information have been imported into GBrowse so that all functional elements can be visualized in one frame. We plan to continually update BRAD by integrating more Brassicaceae genomes into the database. Database URL: http://brassicadb.org/brad/. © The Author(s) 2015. Published by Oxford University Press.

  4. Detecting microsatellites within genomes: significant variation among algorithms

    Directory of Open Access Journals (Sweden)

    Rivals Eric

    2007-04-01

    Full Text Available Abstract Background Microsatellites are short, tandemly-repeated DNA sequences which are widely distributed among genomes. Their structure, role and evolution can be analyzed based on exhaustive extraction from sequenced genomes. Several dedicated algorithms have been developed for this purpose. Here, we compared the detection efficiency of five of them (TRF, Mreps, Sputnik, STAR, and RepeatMasker. Results Our analysis was first conducted on the human X chromosome, and microsatellite distributions were characterized by microsatellite number, length, and divergence from a pure motif. The algorithms work with user-defined parameters, and we demonstrate that the parameter values chosen can strongly influence microsatellite distributions. The five algorithms were then compared by fixing parameters settings, and the analysis was extended to three other genomes (Saccharomyces cerevisiae, Neurospora crassa and Drosophila melanogaster spanning a wide range of size and structure. Significant differences for all characteristics of microsatellites were observed among algorithms, but not among genomes, for both perfect and imperfect microsatellites. Striking differences were detected for short microsatellites (below 20 bp, regardless of motif. Conclusion Since the algorithm used strongly influences empirical distributions, studies analyzing microsatellite evolution based on a comparison between empirical and theoretical size distributions should therefore be considered with caution. We also discuss why a typological definition of microsatellites limits our capacity to capture their genomic distributions.

  5. [The treatment received by public health services users in Mexico].

    Science.gov (United States)

    Puentes Rosas, Esteban; Gómez Dantés, Octavio; Garrido Latorre, Francisco

    2006-06-01

    To document the fact that differences in the treatment received by health services users in Mexico are mainly dependent on the type of provider, regardless of the users' socioeconomic status. The data were obtained by means of a survey of 18 018 users who visited 73 health services in 13 states within Mexico. They were asked to grade the way the institution had performed in seven of the eight domains that define appropriate user treatment (autonomy, confidentiality, communication, respectful manner, condition of basic facilities, access to social assistance networks, and free user choice). The questionnaire included some vignettes to help determine user expectations. A composite ordinal probit model was applied; the perception of quality in connection with each of the appropriate treatment domains was the independent variable, whereas gender, educational level, age, type of provider, and user expectations were used as control variables. The type of provider was the main factor that determined users' perceptions regarding the treatment they received when visiting health services in Mexico. Institutions belonging to the social security system performed the worst, while the services provided under the program targeting the rural population (IMSS Oportunidades) received the highest scores. Overall, the domain that was most highly ranked was respectful manner, whereas the lowest score was given to the ability to choose the provider. Men felt they had been able to communicate better than women, while respectful manner, communication, and social support showed a significant negative association with educational level (P < 0.05). Differences were noted in the way different public health service providers in Mexico treat their users, regardless of the latter's socioeconomic status. Social security system providers showed the greatest deficiencies in this respect. Respectful manner was the domain that received the highest scores in the case of all providers. Organizational

  6. Electronic Library of Embrapa Cerrados: user study

    Directory of Open Access Journals (Sweden)

    Maria Elisabeth Salviati

    2015-09-01

    Full Text Available Introduction: This paper presents the results of research conducted with Electronic Library users – website, created in 2004 by Embrapa Cerrados, that organizes, stores, and provides full text of the technical scientific production published by the Institution. Objective: To explore the user profile and to make an accurate assessment of the website. Methodology: Data collection of demographic aspects; habits; and search features: navigation, loading time of pages, help, layout and terminology by an online survey. Analysis by SPSS software - Statistical Package for the Social Sciences. Results: The main users are students and agronomists, young people up to 30 years old, coming from the Federal District, belonging to universities and high schools wishing to update knowledge. After, appear the users of public agencies; private companies; Embrapa; agribusiness; federal government; schools; associations and non-governmental organizations; rural extension; cooperatives and syndicates. These users have no difficulties to use the service. Conclusions: The service works well, but some suggestions are useful to improve it. In addition, little demand coming from farms, ranches, rural extension services, cooperatives and syndicates indicates the need to design new products and services oriented to such public.

  7. Big data or bust: realizing the microbial genomics revolution.

    Science.gov (United States)

    Raza, Sobia; Luheshi, Leila

    2016-02-01

    Pathogen genomics has the potential to transform the clinical and public health management of infectious diseases through improved diagnosis, detection and tracking of antimicrobial resistance and outbreak control. However, the wide-ranging benefits of this technology can only fully be realized through the timely collation, integration and sharing of genomic and clinical/epidemiological metadata by all those involved in the delivery of genomic-informed services. As part of our review on bringing pathogen genomics into 'health-service' practice, we undertook extensive stakeholder consultation to examine the factors integral to achieving effective data sharing and integration. Infrastructure tailored to the needs of clinical users, as well as practical support and policies to facilitate the timely and responsible sharing of data with relevant health authorities and beyond, are all essential. We propose a tiered data sharing and integration model to maximize the immediate and longer term utility of microbial genomics in healthcare. Realizing this model at the scale and sophistication necessary to support national and international infection management services is not uncomplicated. Yet the establishment of a clear data strategy is paramount if failures in containing disease spread due to inadequate knowledge sharing are to be averted, and substantial progress made in tackling the dangers posed by infectious diseases.

  8. Analysis of radiation-induced genome alterations in Vigna unguiculata

    Directory of Open Access Journals (Sweden)

    van der Vyver C

    2011-09-01

    Full Text Available Christell van der Vyver1, B Juan Vorster2, Karl J Kunert3, Christopher A Cullis41Institute for Plant Biotechnology, Department of Genetics, University of Stellenbosch, Stellenbosch, South Africa; 2Department of Plant Production and Soil Science, and 3Department of Plant Science, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa; 4Case Western Reserve University, Department of Biology, Cleveland, OH, USAAbstract: Seeds from an inbred Vigna unguiculata (cowpea cultivar were gamma-irradiated with a dose of 180 Gy in order to identify and characterize possible mutations. Three techniques, ie, random amplified polymorphic DNA, microsatellites, and representational difference analysis, were used to characterize possible DNA variation among the mutants and nonirradiated control plants both immediately after irradiation and in subsequent generations. A large portion of putative radiation-induced genome changes had significant similarities to chloroplast sequences. The frequency of mutation at three of these isolated polymorphic regions with chloroplast similarity was further determined by polymerase chain reaction screening using a large number of individual parental, M1, and M2 plants. Analysis of these sequences indicated that the rate at which various regions of the genome is mutated in irradiation experiments differs significantly and also that mutations have variable “repair” rates. Furthermore, regions of the nuclear DNA derived from the chloroplast genome are highly susceptible to modification by radiation treatment. Overall, data have provided detailed information on the effects of gamma irradiation on the cowpea genome and about the ability of the plant to repair these genome changes in subsequent plant generations.Keywords: mutation breeding, gamma radiation, genetic mutations, cowpea, representational difference analysis

  9. A case study in information needs of ISTIC users

    Energy Technology Data Exchange (ETDEWEB)

    Jin, Tao [The Institute of Scientific and Technical Information of China, Beijing (China)

    1990-05-01

    This paper is based on the investigation of users in a practical information service, the Institute of Scientific and Technical Information of China, and it analysed users` document utilization in the year 1989. Its major contents include: the basic situation of document utilization of Chinese S and T personnel; the barriers encountered; the patterns that the documents are used. The author pointed out the existing problems and offered some suggestions in information work. (author). 4 refs, 3 figs, 2 tabs.

  10. A case study in information needs of ISTIC users

    International Nuclear Information System (INIS)

    Tao Jin

    1990-05-01

    This paper is based on the investigation of users in a practical information service, the Institute of Scientific and Technical Information of China, and it analysed users' document utilization in the year 1989. Its major contents include: the basic situation of document utilization of Chinese S and T personnel; the barriers encountered; the patterns that the documents are used. The author pointed out the existing problems and offered some suggestions in information work. (author). 4 refs, 3 figs, 2 tabs

  11. MicroScope—an integrated microbial resource for the curation and comparative analysis of genomic and metabolic data

    Science.gov (United States)

    Vallenet, David; Belda, Eugeni; Calteau, Alexandra; Cruveiller, Stéphane; Engelen, Stefan; Lajus, Aurélie; Le Fèvre, François; Longin, Cyrille; Mornico, Damien; Roche, David; Rouy, Zoé; Salvignol, Gregory; Scarpelli, Claude; Thil Smith, Adam Alexander; Weiman, Marion; Médigue, Claudine

    2013-01-01

    MicroScope is an integrated platform dedicated to both the methodical updating of microbial genome annotation and to comparative analysis. The resource provides data from completed and ongoing genome projects (automatic and expert annotations), together with data sources from post-genomic experiments (i.e. transcriptomics, mutant collections) allowing users to perfect and improve the understanding of gene functions. MicroScope (http://www.genoscope.cns.fr/agc/microscope) combines tools and graphical interfaces to analyse genomes and to perform the manual curation of gene annotations in a comparative context. Since its first publication in January 2006, the system (previously named MaGe for Magnifying Genomes) has been continuously extended both in terms of data content and analysis tools. The last update of MicroScope was published in 2009 in the Database journal. Today, the resource contains data for >1600 microbial genomes, of which ∼300 are manually curated and maintained by biologists (1200 personal accounts today). Expert annotations are continuously gathered in the MicroScope database (∼50 000 a year), contributing to the improvement of the quality of microbial genomes annotations. Improved data browsing and searching tools have been added, original tools useful in the context of expert annotation have been developed and integrated and the website has been significantly redesigned to be more user-friendly. Furthermore, in the context of the European project Microme (Framework Program 7 Collaborative Project), MicroScope is becoming a resource providing for the curation and analysis of both genomic and metabolic data. An increasing number of projects are related to the study of environmental bacterial (meta)genomes that are able to metabolize a large variety of chemical compounds that may be of high industrial interest. PMID:23193269

  12. A computational genomics pipeline for prokaryotic sequencing projects.

    Science.gov (United States)

    Kislyuk, Andrey O; Katz, Lee S; Agrawal, Sonia; Hagen, Matthew S; Conley, Andrew B; Jayaraman, Pushkala; Nelakuditi, Viswateja; Humphrey, Jay C; Sammons, Scott A; Govil, Dhwani; Mair, Raydel D; Tatti, Kathleen M; Tondella, Maria L; Harcourt, Brian H; Mayer, Leonard W; Jordan, I King

    2010-08-01

    New sequencing technologies have accelerated research on prokaryotic genomes and have made genome sequencing operations outside major genome sequencing centers routine. However, no off-the-shelf solution exists for the combined assembly, gene prediction, genome annotation and data presentation necessary to interpret sequencing data. The resulting requirement to invest significant resources into custom informatics support for genome sequencing projects remains a major impediment to the accessibility of high-throughput sequence data. We present a self-contained, automated high-throughput open source genome sequencing and computational genomics pipeline suitable for prokaryotic sequencing projects. The pipeline has been used at the Georgia Institute of Technology and the Centers for Disease Control and Prevention for the analysis of Neisseria meningitidis and Bordetella bronchiseptica genomes. The pipeline is capable of enhanced or manually assisted reference-based assembly using multiple assemblers and modes; gene predictor combining; and functional annotation of genes and gene products. Because every component of the pipeline is executed on a local machine with no need to access resources over the Internet, the pipeline is suitable for projects of a sensitive nature. Annotation of virulence-related features makes the pipeline particularly useful for projects working with pathogenic prokaryotes. The pipeline is licensed under the open-source GNU General Public License and available at the Georgia Tech Neisseria Base (http://nbase.biology.gatech.edu/). The pipeline is implemented with a combination of Perl, Bourne Shell and MySQL and is compatible with Linux and other Unix systems.

  13. REFGEN and TREENAMER: Automated Sequence Data Handling for Phylogenetic Analysis in the Genomic Era

    Science.gov (United States)

    Leonard, Guy; Stevens, Jamie R.; Richards, Thomas A.

    2009-01-01

    The phylogenetic analysis of nucleotide sequences and increasingly that of amino acid sequences is used to address a number of biological questions. Access to extensive datasets, including numerous genome projects, means that standard phylogenetic analyses can include many hundreds of sequences. Unfortunately, most phylogenetic analysis programs do not tolerate the sequence naming conventions of genome databases. Managing large numbers of sequences and standardizing sequence labels for use in phylogenetic analysis programs can be a time consuming and laborious task. Here we report the availability of an online resource for the management of gene sequences recovered from public access genome databases such as GenBank. These web utilities include the facility for renaming every sequence in a FASTA alignment file, with each sequence label derived from a user-defined combination of the species name and/or database accession number. This facility enables the user to keep track of the branching order of the sequences/taxa during multiple tree calculations and re-optimisations. Post phylogenetic analysis, these webpages can then be used to rename every label in the subsequent tree files (with a user-defined combination of species name and/or database accession number). Together these programs drastically reduce the time required for managing sequence alignments and labelling phylogenetic figures. Additional features of our platform include the automatic removal of identical accession numbers (recorded in the report file) and generation of species and accession number lists for use in supplementary materials or figure legends. PMID:19812722

  14. BarleyBase—an expression profiling database for plant genomics

    Science.gov (United States)

    Shen, Lishuang; Gong, Jian; Caldo, Rico A.; Nettleton, Dan; Cook, Dianne; Wise, Roger P.; Dickerson, Julie A.

    2005-01-01

    BarleyBase (BB) (www.barleybase.org) is an online database for plant microarrays with integrated tools for data visualization and statistical analysis. BB houses raw and normalized expression data from the two publicly available Affymetrix genome arrays, Barley1 and Arabidopsis ATH1 with plans to include the new Affymetrix 61K wheat, maize, soybean and rice arrays, as they become available. BB contains a broad set of query and display options at all data levels, ranging from experiments to individual hybridizations to probe sets down to individual probes. Users can perform cross-experiment queries on probe sets based on observed expression profiles and/or based on known biological information. Probe set queries are integrated with visualization and analysis tools such as the R statistical toolbox, data filters and a large variety of plot types. Controlled vocabularies for gene and plant ontologies, as well as interconnecting links to physical or genetic map and other genomic data in PlantGDB, Gramene and GrainGenes, allow users to perform EST alignments and gene function prediction using Barley1 exemplar sequences, thus, enhancing cross-species comparison. PMID:15608273

  15. Advocacy for Benchmarking in the Nigerian Institute of Advanced ...

    African Journals Online (AJOL)

    FIRST LADY

    The second school of thought while maintaining the comparative feature presents benchmarking as a .... A perusal of the history of the Nigerian Institute of Advanced Legal Studies .... Conduction of user survey/market research to determine.

  16. Users manual on database of the Piping Reliability Proving Tests at the Japan Atomic Energy Research Institute

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-09-01

    Japan Atomic Energy Research Institute(JAERI) conducted Piping Reliability Proving Tests from 1975 to 1992 based upon the contracts between JAERI and Science and Technology Agency of Japan under the auspices of the special account law for electric power development promotion. The purposes of those tests are to prove the structural reliability of the primary cooling piping constituting a part of the pressure boundary in the water reactor power plants. The tests with large experimental facilities had ended already in 1990. After that piping reliability analysis by the probabilistic method followed until 1992. This report describes the users manual on databases about the test results using the large experimental facilities. Objectives of the piping reliability proving tests are to prove that the primary piping of the water reactor (1) be reliable throughout the service period, (2) have no possibility of rupture, (3) bring no detrimental influence on the surrounding instrumentations or equipments near the break location. The research activities using large scale piping test facilities are described. The present report does the database about the test results pairing the former report. With these two reports, all the feature of Piping Reliability Proving Tests is made clear. Briefings of the tests are described also written in Japanese or English. (author)

  17. Producing genome structure populations with the dynamic and automated PGS software.

    Science.gov (United States)

    Hua, Nan; Tjong, Harianto; Shin, Hanjun; Gong, Ke; Zhou, Xianghong Jasmine; Alber, Frank

    2018-05-01

    Chromosome conformation capture technologies such as Hi-C are widely used to investigate the spatial organization of genomes. Because genome structures can vary considerably between individual cells of a population, interpreting ensemble-averaged Hi-C data can be challenging, in particular for long-range and interchromosomal interactions. We pioneered a probabilistic approach for the generation of a population of distinct diploid 3D genome structures consistent with all the chromatin-chromatin interaction probabilities from Hi-C experiments. Each structure in the population is a physical model of the genome in 3D. Analysis of these models yields new insights into the causes and the functional properties of the genome's organization in space and time. We provide a user-friendly software package, called PGS, which runs on local machines (for practice runs) and high-performance computing platforms. PGS takes a genome-wide Hi-C contact frequency matrix, along with information about genome segmentation, and produces an ensemble of 3D genome structures entirely consistent with the input. The software automatically generates an analysis report, and provides tools to extract and analyze the 3D coordinates of specific domains. Basic Linux command-line knowledge is sufficient for using this software. A typical running time of the pipeline is ∼3 d with 300 cores on a computer cluster to generate a population of 1,000 diploid genome structures at topological-associated domain (TAD)-level resolution.

  18. An integrated framework for rural electrification: Adopting a user-centric approach to business model development

    International Nuclear Information System (INIS)

    Schillebeeckx, Simon J.D.; Parikh, Priti; Bansal, Rahul; George, Gerard

    2012-01-01

    Rural electrification (RE) has gained prominence over the past two decades as an effective means for improving living conditions. This growth has largely been driven by socio-economic and political imperatives to improve rural livelihood and by technological innovation. Based on a content analysis of 232 scholarly articles, the literature is categorized into four focal lenses: technology, institutional, viability and user-centric. We find that the first two dominate the RE debate. The viability lens has been used less frequently, whilst the user-centric lens began to engage scholars as late as 2007. We provide an overview of the technological, institutional and viability lenses, and elaborate upon the user-centric lens in greater detail. For energy policy and practice, we combine the four lenses to develop a business model framework that policy makers, practitioners and investors could use to assess RE projects or to design future rural electrification strategies. - Highlights: ► Review of two decades of rural electrification research. ► Content analysis of 232 scholarly articles. ► Literature is categorized into four focal lenses: technology, institutional, viability and user-centric. ► We develop a business model framework for rural electrification strategies.

  19. Eprints Institutional Repository Software: A Review

    Directory of Open Access Journals (Sweden)

    Mike R. Beazley

    2011-01-01

    Full Text Available Setting up an institutional repository (IR can be a daunting task. There are many software packages out there, some commercial, some open source, all of which offer different features and functionality. This article will provide some thoughts about one of these software packages: Eprints. Eprints was one of the first IR software packages to appear and has been available for 10 years. It is under continual development by its creators at the University of Southampton and the current version is v3.2.3. Eprints is open-source, meaning that anyone can download and make use of the software for free and the software can be modified however the user likes. This presents clear advantages for institutions will smaller budgets and also for institutions that have programmers on staff. Eprints requires some additional software to run: Linux, Apache, MySQL, and Perl. This software is all open-source and already present on the servers of many institutions. There is now a version of Eprints that will run on Windows servers as well, which will make the adoption of Eprints even easier for some. In brief, Eprints is an excellent choice for any institution looking to get an IR up and running quickly and easily. Installation is straightforward as is the initial configuration. Once the IR is up and running, users may upload documents and provide the necessary metadata for the records by filling out a simple web form. Embargoes on published documents are handled elegantly by the software, and the software links to the SHERPA/RoMEO database so authors can easily verify their rights regarding IR submissions. Eprints has some drawbacks, which will be discussed later in the review, but on the whole it is easy to recommend to anyone looking to start an IR. However, It is less clear that an institution with an existing IR based on another software package should migrate to Eprints.

  20. Nuclear genome size analysis of Agave tequilana Weber

    Czech Academy of Sciences Publication Activity Database

    Palomino, G.; Doležel, Jaroslav; Méndez, I.; Rubluo, A.

    2003-01-01

    Roč. 56, č. 1 (2003), s. 37-46 ISSN 0008-7114 Grant - others:Itálie(IT) Z5038910 Institutional research plan: CEZ:AV0Z5038910 Keywords : Flow cytometry * nuclear genome size * Agave tequilana Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 0.337, year: 2003

  1. Contrasting evolutionary dynamics between angiosperm and mammalian genomes

    Czech Academy of Sciences Publication Activity Database

    Kejnovský, Eduard; Leitch, I.J.; Leitch, A.R.

    2009-01-01

    Roč. 24, č. 10 (2009), s. 572-582 ISSN 0169-5347 R&D Projects: GA MŠk(CZ) LC06004 Institutional research plan: CEZ:AV0Z50040507; CEZ:AV0Z50040702 Keywords : genomes * evolutionary dynamics * recombination Subject RIV: BO - Biophysics Impact factor: 11.564, year: 2009

  2. Missing Links--User Needs vs. Producers' Offerings.

    Science.gov (United States)

    Fahy, Sarah

    There are a variety of reasons which prevent users from making the most of information products. The practitioner must keep current with the myriad of information sources available and try to stay aware of changes in coverage. This paper categorizes the types of data in a large financial institution as follows: press sources, mergers and…

  3. Advances in the development of a cognitive user interface

    Directory of Open Access Journals (Sweden)

    Jokisch Oliver

    2018-01-01

    Full Text Available In this contribution, we want to summarize recent development steps of the embedded cognitive user interface UCUI, which enables a user-adaptive scenario in human-machine or even human-robot interactions by considering sophisticated cognitive and semantic modelling. The interface prototype is developed by different German institutes and companies with their steering teams at Fraunhofer IKTS and Brandenburg University of Technology. The interface prototype is able to communicate with users via speech and gesture recognition, speech synthesis and a touch display. The device includes an autarkic semantic processing and beyond a cognitive behavior control, which supports an intuitive interaction to control different kinds of electronic devices, e. g. in a smart home environment or in interactive respectively collaborative robotics. Contrary to available speech assistance systems such as Amazon Echo or Google Home, the introduced cognitive user interface UCUI ensures the user privacy by processing all necessary information without any network access of the interface device.

  4. University multi-user facility survey-2010.

    Science.gov (United States)

    Riley, Melissa B

    2011-12-01

    Multi-user facilities serve as a resource for many universities. In 2010, a survey was conducted investigating possible changes and successful characteristics of multi-user facilities, as well as identifying problems in facilities. Over 300 surveys were e-mailed to persons identified from university websites as being involved with multi-user facilities. Complete responses were received from 36 facilities with an average of 20 years of operation. Facilities were associated with specific departments (22%), colleges (22%), and university research centers (8.3%) or were not affiliated with any department or college within the university (47%). The five most important factors to succeed as a multi-user facility were: 1) maintaining an experienced, professional staff in an open atmosphere; 2) university-level support providing partial funding; 3) broad client base; 4) instrument training programs; and 5) an effective leader and engaged strategic advisory group. The most significant problems were: 1) inadequate university financial support and commitment; 2) problems recovering full service costs from university subsidies and user fees; 3) availability of funds to repair and upgrade equipment; 4) inability to retain highly qualified staff; and 5) unqualified users dirtying/damaging equipment. Further information related to these issues and to fee structure was solicited. Overall, there appeared to be a decline in university support for facilities and more emphasis on securing income by serving clients outside of the institution and by obtaining grants from entities outside of the university.

  5. Protecting and Evaluating Genomic Privacy in Medical Tests and Personalized Medicine

    OpenAIRE

    Ayday, Erman; Raisaro, Jean Louis; Rougemont, Jacques; Hubaux, Jean-Pierre

    2013-01-01

    In this paper, we propose privacy-enhancing technologies for medical tests and personalized medicine methods that use patients' genomic data. Focusing on genetic disease-susceptibility tests, we develop a new architecture (between the patient and the medical unit) and propose a "privacy-preserving disease susceptibility test" (PDS) by using homomorphic encryption and proxy re-encryption. Assuming the whole genome sequencing to be done by a certified institution, we propose to store patients' ...

  6. The genome of the model beetle and pest Tribolium castaneum

    Czech Academy of Sciences Publication Activity Database

    Richards, S.; Jindra, Marek

    2008-01-01

    Roč. 452, č. 7190 (2008), s. 949-955 ISSN 0028-0836 Institutional research plan: CEZ:AV0Z50070508 Keywords : Tribolium castaneum * genome * sequencing Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 31.434, year: 2008

  7. Analysis of the giant genomes of Fritillaria (Liliaceae) indicates that a lack of DNA removal characterizes extreme expansions in genome size

    Czech Academy of Sciences Publication Activity Database

    Kelly, L.J.; Renny-Byfield, S.; Macas, Jiří; Novák, Petr; Neumann, Pavel; Lysák, M.; Day, P.D.; Berger, M.; Fay, M. F.; Nichols, R. A.; Leitch, A. R.; Leitch, I. J.

    2015-01-01

    Roč. 208, č. 2 (2015), s. 596-607 ISSN 0028-646X R&D Projects: GA ČR GBP501/12/G090 Institutional support: RVO:60077344 Keywords : DNA deletion * Fritillaria * Liliaceae * genome size evolution Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 7.210, year: 2015

  8. Exploration of Metagenome Assemblies with an Interactive Visualization Tool

    Energy Technology Data Exchange (ETDEWEB)

    Cantor, Michael; Nordberg, Henrik; Smirnova, Tatyana; Andersen, Evan; Tringe, Susannah; Hess, Matthias; Dubchak, Inna

    2014-07-09

    Metagenomics, one of the fastest growing areas of modern genomic science, is the genetic profiling of the entire community of microbial organisms present in an environmental sample. Elviz is a web-based tool for the interactive exploration of metagenome assemblies. Elviz can be used with publicly available data sets from the Joint Genome Institute or with custom user-loaded assemblies. Elviz is available at genome.jgi.doe.gov/viz

  9. Twelfth European TRIGA users conference. Papers and abstracts

    International Nuclear Information System (INIS)

    2008-01-01

    The Twelfth European TRIGA Users Conference was held in Pitesti, Romania, on September 28 - October 1, 1992, under the sponsorship of the Institute for Nuclear Research. The papers which follow in this document are presented in the same order as listed in the Conference Program. All papers which were received for publication (44) have been included. Those papers which were presented but not received for publication are presented in abstract form (3). The European TRIGA9 Owners' Group was fortunate to be hosted by the owners and users of the world's largest TRIGA reactor - the 14-MW Romanian research and test reactor. For too many years it has been impossible to enjoy open interactions with the Romanian researchers. By hosting the 1992 European TRIGA Users' Conference in Romania, the Romanians accomplished a breakthrough in the exchange of TRIGA reactor technology. It was very interesting for the Conference attendees from the West to learn about the large scope of excellent work conducted in Romania, especially at the Institute of Nuclear Research in Pitesti. Similarly, it was fortunate that a large attendance of Romanian researchers from many institutes, universities, and government agencies could attend the Conference and interact with their counterparts from outside Romania. The proceedings of the conference were structured onto the following 6 subject matters: - Opening Session and Introduction; - Session I, Operating and Maintenance Experience (10 papers); - Session II, Reactor Physics And Fuel Utilization (11 papers); - Session III, Instrumentation and Control (5 papers); - Session IV, Irradiation Facilities, Experimental Accessories (8 papers); - Session V, Applications, New Development of TRIGA Concept (6 papers). The document is completed with the abstracts of 3 contributions. A number of 19 experts from Austria, Germany, Italy, United States, Turkey, Morocco, England, Slovenia and Albania, that use TRIGA reactors, and Romania attended the conference. The

  10. Methods for Optimizing CRISPR-Cas9 Genome Editing Specificity

    Science.gov (United States)

    Tycko, Josh; Myer, Vic E.; Hsu, Patrick D.

    2016-01-01

    Summary Advances in the development of delivery, repair, and specificity strategies for the CRISPR-Cas9 genome engineering toolbox are helping researchers understand gene function with unprecedented precision and sensitivity. CRISPR-Cas9 also holds enormous therapeutic potential for the treatment of genetic disorders by directly correcting disease-causing mutations. Although the Cas9 protein has been shown to bind and cleave DNA at off-target sites, the field of Cas9 specificity is rapidly progressing with marked improvements in guide RNA selection, protein and guide engineering, novel enzymes, and off-target detection methods. We review important challenges and breakthroughs in the field as a comprehensive practical guide to interested users of genome editing technologies, highlighting key tools and strategies for optimizing specificity. The genome editing community should now strive to standardize such methods for measuring and reporting off-target activity, while keeping in mind that the goal for specificity should be continued improvement and vigilance. PMID:27494557

  11. PathogenFinder - Distinguishing Friend from Foe Using Bacterial Whole Genome Sequence Data

    DEFF Research Database (Denmark)

    Cosentino, Salvatore; Larsen, Mette Voldby; Aarestrup, Frank Møller

    2013-01-01

    approaches. We describe PathogenFinder (http://cge.cbs.dtu.dk/services/PathogenFinder/), a web-server for the prediction of bacterial pathogenicity by analysing the input proteome, genome, or raw reads provided by the user. The method relies on groups of proteins, created without regard to their annotated...

  12. Validation of rice genome sequence by optical mapping

    Directory of Open Access Journals (Sweden)

    Pape Louise

    2007-08-01

    Full Text Available Abstract Background Rice feeds much of the world, and possesses the simplest genome analyzed to date within the grass family, making it an economically relevant model system for other cereal crops. Although the rice genome is sequenced, validation and gap closing efforts require purely independent means for accurate finishing of sequence build data. Results To facilitate ongoing sequencing finishing and validation efforts, we have constructed a whole-genome SwaI optical restriction map of the rice genome. The physical map consists of 14 contigs, covering 12 chromosomes, with a total genome size of 382.17 Mb; this value is about 11% smaller than original estimates. 9 of the 14 optical map contigs are without gaps, covering chromosomes 1, 2, 3, 4, 5, 7, 8 10, and 12 in their entirety – including centromeres and telomeres. Alignments between optical and in silico restriction maps constructed from IRGSP (International Rice Genome Sequencing Project and TIGR (The Institute for Genomic Research genome sequence sources are comprehensive and informative, evidenced by map coverage across virtually all published gaps, discovery of new ones, and characterization of sequence misassemblies; all totalling ~14 Mb. Furthermore, since optical maps are ordered restriction maps, identified discordances are pinpointed on a reliable physical scaffold providing an independent resource for closure of gaps and rectification of misassemblies. Conclusion Analysis of sequence and optical mapping data effectively validates genome sequence assemblies constructed from large, repeat-rich genomes. Given this conclusion we envision new applications of such single molecule analysis that will merge advantages offered by high-resolution optical maps with inexpensive, but short sequence reads generated by emerging sequencing platforms. Lastly, map construction techniques presented here points the way to new types of comparative genome analysis that would focus on discernment of

  13. A comparative study of contemporary user involvement within healthcare systems across England, Poland and Slovenia.

    Science.gov (United States)

    Lichon, Mateusz; Kavcic, Matic; Masterson, Daniel

    2015-01-01

    The purpose of this paper is to explore how healthcare-users' engagement is perceived, how it occurs and how these perceptions differ between three European countries: England, Poland and Slovenia, using the concepts of voice, choice and coproduction. This comparative, qualitative study is based on a review of legal documents, academic literature and semi-structured interviews conducted in October and November 2011. A research sample consisted of 21 interviewees representing various stakeholders including healthcare-users, doctors and managers. Primary and secondary data were analysed using theoretical thematic analysis. Emerging themes were identified from the interviews and related to the indicators describing healthcare-users' involvement in the voice, choice and coproduction model. Results of the comparative qualitative research suggest that the healthcare-users' influence is strongly grounded in England where the healthcare system and professionals are prepared to include healthcare-users in the decision-making process. In Slovenia, cultural development of healthcare-users' involvement seems to proceed the institutional development. In Poland, institutions are ready to involve healthcare-users in decision-making process although the cultural desirability of involving users among doctors and patients is lacking. The notion of user involvement is increasingly gaining importance and research attention, yet there is still little known about the way cultural, political, historical differences between various European countries influence it. This paper explores this little known area using the original approach of user involvement (Dent et al., 2011) with input from various stakeholders including patients, healthcare representatives and academics.

  14. Analisis Konten dan Kebijakan Akses Institutional Repository

    Directory of Open Access Journals (Sweden)

    Amirul Ulum

    2016-07-01

    Abstract; Institutional repository has become a major concern of higher education in Indonesia. The number of institutional respository was increased, one of the reason is the ranking web of repositories has been conducted by the Cybermetrics Lab in 2008. At that time, many institutions started to build institutional repository in order to manage the scientific work and also trying to reach the better ranks. Meanwhile, it is an achievement of institution performance which can be promote and increase visibility for the institution. University of Surabaya has also developed the institutional repository and managed by the library. The aims of this study is to analyze the content availability and access policies defined by the University of Surabaya repository  providing services to the academic community and external users. The method used in this study by using observations of the institutional repository University of Surabaya with a literature review to clarify the analysis of the content and access policies. The results of this study indicate that the library's role is has the authority to manage the scientific work of academic community can be done through the institutional repository. However there is still need for library to be proactive to communicate regulations on mandatory deposit of scientific work and create intensive promotion of the institutional repository.

  15. Moth sex chromatin probed by comparative genomic hybridization (CGH)

    Czech Academy of Sciences Publication Activity Database

    Sahara, K.; Marec, František; Eickhoff, U.; Traut, W.

    2003-01-01

    Roč. 46, - (2003), s. 339-342 ISSN 0831-2796 R&D Projects: GA AV ČR IAA6007307 Institutional research plan: CEZ:AV0Z5007907 Keywords : Lepidoptera * comparative genomic hybridization Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 1.861, year: 2003

  16. Personal utility in genomic testing: a systematic literature review.

    Science.gov (United States)

    Kohler, Jennefer N; Turbitt, Erin; Biesecker, Barbara B

    2017-06-01

    Researchers and clinicians refer to outcomes of genomic testing that extend beyond clinical utility as 'personal utility'. No systematic delineation of personal utility exists, making it challenging to appreciate its scope. Identifying empirical elements of personal utility reported in the literature offers an inventory that can be subsequently ranked for its relative value by those who have undergone genomic testing. A systematic review was conducted of the peer-reviewed literature reporting non-health-related outcomes of genomic testing from 1 January 2003 to 5 August 2016. Inclusion criteria specified English language, date of publication, and presence of empirical evidence. Identified outcomes were iteratively coded into unique domains. The search returned 551 abstracts from which 31 studies met the inclusion criteria. Study populations and type of genomic testing varied. Coding resulted in 15 distinct elements of personal utility, organized into three domains related to personal outcomes: affective, cognitive, and behavioral; and one domain related to social outcomes. The domains of personal utility may inform pre-test counseling by helping patients anticipate potential value of test results beyond clinical utility. Identified elements may also inform investigations into the prevalence and importance of personal utility to future test users.

  17. Genovar: a detection and visualization tool for genomic variants.

    Science.gov (United States)

    Jung, Kwang Su; Moon, Sanghoon; Kim, Young Jin; Kim, Bong-Jo; Park, Kiejung

    2012-05-08

    Along with single nucleotide polymorphisms (SNPs), copy number variation (CNV) is considered an important source of genetic variation associated with disease susceptibility. Despite the importance of CNV, the tools currently available for its analysis often produce false positive results due to limitations such as low resolution of array platforms, platform specificity, and the type of CNV. To resolve this problem, spurious signals must be separated from true signals by visual inspection. None of the previously reported CNV analysis tools support this function and the simultaneous visualization of comparative genomic hybridization arrays (aCGH) and sequence alignment. The purpose of the present study was to develop a useful program for the efficient detection and visualization of CNV regions that enables the manual exclusion of erroneous signals. A JAVA-based stand-alone program called Genovar was developed. To ascertain whether a detected CNV region is a novel variant, Genovar compares the detected CNV regions with previously reported CNV regions using the Database of Genomic Variants (DGV, http://projects.tcag.ca/variation) and the Single Nucleotide Polymorphism Database (dbSNP). The current version of Genovar is capable of visualizing genomic data from sources such as the aCGH data file and sequence alignment format files. Genovar is freely accessible and provides a user-friendly graphic user interface (GUI) to facilitate the detection of CNV regions. The program also provides comprehensive information to help in the elimination of spurious signals by visual inspection, making Genovar a valuable tool for reducing false positive CNV results. http://genovar.sourceforge.net/.

  18. A unified and comprehensible view of parametric and kernel methods for genomic prediction with application to rice

    Directory of Open Access Journals (Sweden)

    Laval Jacquin

    2016-08-01

    Full Text Available One objective of this study was to provide readers with a clear and unified understanding ofparametric statistical and kernel methods, used for genomic prediction, and to compare some ofthese in the context of rice breeding for quantitative traits. Furthermore, another objective wasto provide a simple and user-friendly R package, named KRMM, which allows users to performRKHS regression with several kernels. After introducing the concept of regularized empiricalrisk minimization, the connections between well-known parametric and kernel methods suchas Ridge regression (i.e. genomic best linear unbiased predictor (GBLUP and reproducingkernel Hilbert space (RKHS regression were reviewed. Ridge regression was then reformulatedso as to show and emphasize the advantage of the kernel trick concept, exploited by kernelmethods in the context of epistatic genetic architectures, over parametric frameworks used byconventional methods. Some parametric and kernel methods; least absolute shrinkage andselection operator (LASSO, GBLUP, support vector machine regression (SVR and RKHSregression were thereupon compared for their genomic predictive ability in the context of ricebreeding using three real data sets. Among the compared methods, RKHS regression and SVRwere often the most accurate methods for prediction followed by GBLUP and LASSO. An Rfunction which allows users to perform RR-BLUP of marker effects, GBLUP and RKHS regression,with a Gaussian, Laplacian, polynomial or ANOVA kernel, in a reasonable computation time hasbeen developed. Moreover, a modified version of this function, which allows users to tune kernelsfor RKHS regression, has also been developed and parallelized for HPC Linux clusters. The corresponding KRMM package and all scripts have been made publicly available.

  19. [Self-esteem in formal care providers and quality of life indexes in users of support facilities for the institutionalized elderly, in Portalegre].

    Science.gov (United States)

    Graça, Ana; Melo, Ana; Gaspar, Ana; Cunha, Ana; Gomes, Anatilde; Cruz, Andreia; Galveias, Bruna; Gomes, Carina; Costa, Carlos; Bastos, Cátia; Ramos, Célsia; Ramalho, Cristina; Paz, Cristina; Carpinteiro, David; Lourenço, Edite

    2006-01-01

    It is a transversal and descriptive study, and the main meaning was to measure the Self-concept of formal caregivers in elderly institutions, and also the life quality of internally users in the same institutions. To the development of the study were selected two of the elderly institutions of Portalegre, Portugal. The population was composed by internally users (N=113) and formal caregivers (N=81) of both elderly institutions, being used respectively the WOHQOL-bref Questionnaire and the Self-concept Inventory (Vaz Serra, 1986). Based on the distribution of the self-concept of formal caregivers by mean point, we verify that 97.67% (n=42) have a high self-concept and 2.33% (n=1) have a low self-concept. We can conclude that generally formal caregivers have a high self-concept. About life quality value, we verify that most of internally users have values above the average point that identify the life quality. That suggests the internally users have a life quality above the medium point.

  20. A Versatile System for USER Cloning-Based Assembly of Expression Vectors for Mammalian Cell Engineering

    DEFF Research Database (Denmark)

    Lund, Anne Mathilde; Kildegaard, Helene Faustrup; Petersen, Maja Borup Kjær

    2014-01-01

    , in addition the system is fully extendable by other users. The vector system is designed to facilitate high-throughput genome-scale studies of mammalian cells, such as the newly sequenced CHO cell lines, through the ability to rapidly generate high-fidelity assembly of customizable gene expression vectors....

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