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PMID: 14990455 Published · ppublish English Journal Article

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

Bioinformatics (Oxford, England) ·Vol. 20 ·No. 4 ·2004-03-01 ·Pages 578-80

Al-Shahrour F, Díaz-Uriarte R, Dopazo J

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.

MeSH Terms
Algorithms Artificial Intelligence Databases, Genetic Gene Expression Profiling/methods Hypermedia Information Storage and Retrieval/methods Internet Phylogeny Sequence Alignment/methods Sequence Analysis, DNA/methods Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Al-Shahrour Fátima
Bioinformatics Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029 Madrid, Spain.
Díaz-Uriarte Ramón
Dopazo Joaquín
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2004-03-01
Epub
2004-00-22
Pages
578-80
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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