{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T17:55:17Z","timestamp":1775843717310,"version":"3.50.1"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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 GOAnnotations@EBI correspondences from the European Bioinformatics Institute.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/fatigo.bioinfo.cnio.es<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg455","type":"journal-article","created":{"date-parts":[[2004,2,27]],"date-time":"2004-02-27T17:23:07Z","timestamp":1077902587000},"page":"578-580","source":"Crossref","is-referenced-by-count":861,"title":["FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes"],"prefix":"10.1093","volume":"20","author":[{"given":"F\u00e1tima","family":"Al-Shahrour","sequence":"first","affiliation":[]},{"given":"Ram\u00f3n","family":"D\u00edaz-Uriarte","sequence":"additional","affiliation":[]},{"given":"Joaqu\u00edn","family":"Dopazo","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2004,1,22]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/4\/578\/48905121\/bioinformatics_20_4_578.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/4\/578\/48905121\/bioinformatics_20_4_578.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T18:20:09Z","timestamp":1674670809000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/20\/4\/578\/192603"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,1,22]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2004,3,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg455","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2004,3,1]]},"published":{"date-parts":[[2004,1,22]]}}}