@article{Al-Shahrour2004,
abstract = {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.},
author = {Al-Shahrour, F\'{a}tima and D\'{\i}az-Uriarte, Ram\'{o}n and Dopazo, Joaqu\'{\i}n},
doi = {10.1093/bioinformatics/btg455},
issn = {1367-4803},
journal = {Bioinformatics (Oxford, England)},
keywords = {Algorithms,Artificial Intelligence,Databases, Genetic,Gene Expression Profiling,Gene Expression Profiling: methods,Hypermedia,Information Storage and Retrieval,Information Storage and Retrieval: methods,Internet,Phylogeny,SML-LIB-BIBLIO,Sequence Alignment,Sequence Alignment: methods,Sequence Analysis, DNA,Sequence Analysis, DNA: methods,Software,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
month = mar,
number = {4},
pages = {578--80},
pmid = {14990455},
title = {{FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/14990455},
volume = {20},
year = {2004}
}