TY - JOUR T1 - FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes JF - Bioinformatics Y1 - 2004 A1 - Fatima Al-Shahrour A1 - Diaz-Uriarte, R. A1 - Dopazo, J. KW - *Algorithms Artificial Intelligence Databases KW - babelomics KW - DNA/*methods *Software KW - Genetic Gene Expression Profiling/*methods *Hypermedia Information Storage and Retrieval/*methods *Internet *Phylogeny Sequence Alignment/methods Sequence Analysis AB -

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.

VL - 20 UR - http://bioinformatics.oxfordjournals.org/content/20/4/578.abstract N1 -

Al-Shahrour, Fatima Diaz-Uriarte, Ramon Dopazo, Joaquin England Bioinformatics (Oxford, England) Bioinformatics. 2004 Mar 1;20(4):578-80. Epub 2004 Jan 22.

ER -