Bioinformatics Advance Access published online on January 22, 2004
Bioinformatics, doi:10.1093/bioinformatics/btg455
Bioinformatics © Oxford University Press 2004; all rights reserved
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1 Bioinformatics Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029, Madrid, Spain
* To whom correspondence should be addressed. E-mail: jdopazo{at}cnio.es.
Summary: We present a simple but powerful procedure to extract Gene Ontology 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
Accepted October 1, 2003
Applications note
FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes
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