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Related Experiment Videos

The SNP Consortium website: past, present and future.

Gudmundur A Thorisson1, Lincoln D Stein

  • 1Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA. mummi@cshl.org

Nucleic Acids Research
|January 10, 2003
PubMed
Summary
This summary is machine-generated.

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The SNP Consortium website now offers enhanced data access and visualization tools for single nucleotide polymorphisms (SNPs). This update improves usability for researchers studying genetic variation and its applications.

Area of Science:

  • Genomics
  • Bioinformatics
  • Genetic Variation

Background:

  • The SNP Consortium website has evolved significantly over three years.
  • Previous database architecture (ACeDB) was replaced with a more scalable MySQL engine.
  • Need for improved data accessibility and visualization for SNP data.

Purpose of the Study:

  • To describe the recent updates and new features of the SNP Consortium website.
  • To enhance user access to single nucleotide polymorphism (SNP) data.
  • To provide improved tools for browsing and analyzing SNP information.

Main Methods:

  • Migrated database backend from ACeDB to MySQL.
  • Developed gene and SNP keyword search functionalities.
  • Implemented a graphical genome browsing interface.

Related Experiment Videos

  • Enabled FTP downloads for SNP allele frequency, genotype data, and linkage maps.
  • Integrated external gene predictions and genome assembly data.

    • Main Results:

    • Users can now search and browse SNP data efficiently via keyword searches.
    • A graphical interface visualizes SNPs in the context of genome assembly and gene predictions.
    • SNP allele frequency, genotype data, and linkage maps are readily available for download.
    • The website provides comparative map viewing capabilities.

    Conclusions:

    • The updated SNP Consortium website offers a scalable and user-friendly platform for accessing genetic variation data.
    • Enhanced data visualization and download options facilitate research in genomics and related fields.
    • All data coordinating center website software components are open source, promoting collaboration.