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Related Experiment Videos

Databases and tools for browsing genomes.

Ewan Birney1, Michele Clamp, Tim Hubbard

  • 1European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, United Kingdom. birney@ebi.ac.uk

Annual Review of Genomics and Human Genetics
|August 27, 2002
PubMed
Summary
This summary is machine-generated.

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Integrating genome sequences with other biological data is crucial for maximizing value. This review covers database systems and analysis tools developed to manage large vertebrate genome datasets, like human and mouse.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome sequencing generates massive datasets requiring integration with diverse biological data.
  • Managing and analyzing large-scale vertebrate genomes, such as human and mouse, presents significant infrastructure challenges.

Purpose of the Study:

  • To review existing database systems and analytical tools for managing and mining integrated genomic data.
  • To address the challenges posed by the scale of recent vertebrate genome sequences.

Main Methods:

  • Literature review of database systems.
  • Survey of analytical tools for genomic data integration and analysis.

Main Results:

  • Identified various database systems and analytical tools designed for large-scale genomic data.

Related Experiment Videos

  • Highlighted the ongoing development of infrastructure to handle complex biological data relationships.

    • Conclusions:

    • Effective integration and accessibility of genomic data are essential for scientific discovery.
    • Continued development of robust database and analysis tools is necessary to fully leverage genome sequence information.