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GENECODIS: a web-based tool for finding significant concurrent annotations in gene lists.

Pedro Carmona-Saez1, Monica Chagoyen, Francisco Tirado

  • 1BioComputing Unit, National Center of Biotechnology (CNB-CSIC), C/Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain. pcarmona@cnb.uam.es

Genome Biology
|January 6, 2007
PubMed
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We developed GENECODIS, a tool for analyzing gene annotations. It helps interpret high-throughput experiments by finding significant co-occurring annotations in gene lists.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • High-throughput experiments generate large gene lists requiring robust functional analysis.
  • Standard methods for gene list interpretation may not capture complex biological relationships.
  • Identifying co-occurring annotations offers deeper biological insights.

Purpose of the Study:

  • To present GENECODIS, a novel web-based tool for analyzing gene annotations.
  • To enable the search and statistical ranking of frequently co-occurring annotations in gene sets.
  • To provide a tool that aids in the biological interpretation of high-throughput data.

Main Methods:

  • GENECODIS integrates diverse information sources.
  • It employs statistical methods to identify co-occurring annotations.

Related Experiment Videos

  • The tool ranks annotations based on their statistical significance.

    • Main Results:

    • GENECODIS facilitates the discovery of significant concurrent annotations.
    • The tool's analysis provides valuable information for biological interpretation.
    • It demonstrates potential to outperform standard gene list functional analysis methods.

    Conclusions:

    • GENECODIS is a valuable web-based tool for gene annotation analysis.
    • It enhances the biological interpretation of high-throughput experimental results.
    • The tool offers a statistically robust approach to functional gene analysis.