作者: F. Al-Shahrour , R. Diaz-Uriarte , J. Dopazo
DOI: 10.1093/BIOINFORMATICS/BTG455
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摘要: 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 genome-scale experiment (DNA microarray, proteomics, etc.). Said has been implemented as web application, FatiGO, allowing for easy and interactive querying. which takes multiple-testing nature statistical contrast into account, currently includes GO associations diverse organisms (human, mouse, fly, worm yeast) TrEMBL/Swissprot [email protected] correspondences from European Bioinformatics Institute. Availability: http://fatigo.bioinfo.cnio.es