Abstract
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 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 GOAnnotationṡ BI correspondences from the European Bioinformatics Institute. © Oxford University Press 2004; all rights reserved.
Cite
CITATION STYLE
Al-Shahrour, F., Díaz-Uriarte, R., & Dopazo, J. (2004). FatiGO: A web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics, 20(4), 578–580. https://doi.org/10.1093/bioinformatics/btg455
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.