FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes

  • Authors:
  • Fátima Al-Shahrour;Ramón Díaz-Uriarte;Joaquín Dopazo

  • Affiliations:
  • Bioinformatics Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029 Madrid, Spain;Bioinformatics Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029 Madrid, Spain;Bioinformatics Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029 Madrid, Spain

  • Venue:
  • Bioinformatics
  • Year:
  • 2004

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Abstract

Summary: We present a simple but powerful procedure to extract Gene Ontology (GO) terms that are significantly over- or under-represented in sets of genes within the context of a genome-scale experiment (DNA microarray, proteomics, etc.). Said procedure has been implemented as a web application, FatiGO, allowing for easy and interactive querying. FatiGO, which takes the multiple-testing nature of statistical contrast into account, currently includes GO associations for diverse organisms (human, mouse, fly, worm and yeast) and the TrEMBL/Swissprot GOAnnotations@EBI correspondences from the European Bioinformatics Institute. Availability: http://fatigo.bioinfo.cnio.es