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Related Experiment Videos

The Genome Sequence DataBase (GSDB): improving data quality and data access

C Harger1, M Skupski, J Bingham

  • 1National Center for Genome Resources, 1800 Old Pecos Trail, Suite A, Santa Fe, NM 87505, USA. cah@ncgr.org

Nucleic Acids Research
|February 21, 1998
PubMed
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This summary is machine-generated.

The Genome Sequence DataBase (GSDB) enhanced data quality by removing vector contamination and improved accessibility through new tools like a sequence viewer and query updates. These efforts aim to support genomic and gene-level studies.

Area of Science:

  • Bioinformatics
  • Genomics
  • Database Management

Background:

  • The Genome Sequence DataBase (GSDB) at the National Center for Genome Resources aimed to enhance its utility for researchers.
  • Improving data quality and accessibility were key objectives for GSDB in 1997.

Purpose of the Study:

  • To improve the quality of genomic sequence data within the GSDB.
  • To increase the accessibility of GSDB data for various research applications.
  • To support genomic comparison and gene-level studies through enhanced data resources.

Main Methods:

  • Implemented projects to identify and remove vector contamination from sequences.
  • Developed premier sequence sets, including alignments and discontiguous sequences.
  • Introduced a graphical database sequence viewer and updated the Maestro web-based query tool.

Related Experiment Videos

  • Developed the Excerpt tool for retrieving specific sequence regions and a GSDB flatfile with unique annotations.
  • Integrated a tool for detecting matrix attachment regions (MARs) on the GSDB website.
  • Main Results:

    • Vector contamination was identified and removed, improving sequence data integrity.
    • New tools, including a graphical viewer and Excerpt, were released to facilitate data access.
    • Enhanced annotation capabilities and the MAR detection tool were made available.
    • The GSDB became a more robust resource for genomic and gene-level research.

    Conclusions:

    • The enhancements to GSDB in 1997 significantly improved data quality and accessibility.
    • These improvements position GSDB as a more valuable resource for genomic comparison and gene-level studies.
    • The development of specialized tools and data sets addresses the evolving needs of the research community.