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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.
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Fátima Al‐Shahrour
Ramón Díaz‐Uriarte
Joaquı́n Dopazo
Bioinformatics
Spanish National Cancer Research Centre
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Al‐Shahrour et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69fbd68fdf6507d4845ddaa5 — DOI: https://doi.org/10.1093/bioinformatics/btg455
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