FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes.
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.
Al-Shahrour
Fátima
F
Bioinformatics Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029 Madrid, Spain.
Díaz-Uriarte
Ramón
R
Dopazo
Joaquín
J
D000465:Algorithms; D001185:Artificial Intelligence; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D019146:Hypermedia; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D010802:Phylogeny; D016415:Sequence Alignment / Q000379:methods; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software