FatiGO:: a web tool for finding significant associations of Gene Ontology terms with groups of genes

被引：836
作者：
Al-Shahrour, F [1 ]
Díaz-Uriarte, R [1 ]
Dopazo, J [1 ]
机构：
[1] Ctr Nacl Invest Oncol, Bioinformat Unit, Madrid 28029, Spain
来源：
BIOINFORMATICS | 2004年 / 20卷 / 04期
关键词：
D O I：
10.1093/bioinformatics/btg455
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：578 / 580
页数：3
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