%0 Journal Article %J Bioinformatics %D 2004 %T FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes %A Fatima Al-Shahrour %A Diaz-Uriarte, R. %A Dopazo, J. %K *Algorithms Artificial Intelligence Databases %K babelomics %K DNA/*methods *Software %K Genetic Gene Expression Profiling/*methods *Hypermedia Information Storage and Retrieval/*methods *Internet *Phylogeny Sequence Alignment/methods Sequence Analysis %X

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.

%B Bioinformatics %V 20 %P 578-80 %G eng %U http://bioinformatics.oxfordjournals.org/content/20/4/578.abstract