@article {14990455,
	title = {FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes},
	journal = {Bioinformatics},
	volume = {20},
	number = {4},
	year = {2004},
	note = {<p>Al-Shahrour, Fatima Diaz-Uriarte, Ramon Dopazo, Joaquin England Bioinformatics (Oxford, England) Bioinformatics. 2004 Mar 1;20(4):578-80. Epub 2004 Jan 22.</p>},
	pages = {578-80},
	abstract = {<p>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.</p>},
	keywords = {*Algorithms Artificial Intelligence Databases, babelomics, DNA/*methods *Software, Genetic Gene Expression Profiling/*methods *Hypermedia Information Storage and Retrieval/*methods *Internet *Phylogeny Sequence Alignment/methods Sequence Analysis},
	url = {http://bioinformatics.oxfordjournals.org/content/20/4/578.abstract},
	author = {Fatima Al-Shahrour and Diaz-Uriarte, R. and Dopazo, J.}
}
