ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks

We have developed ClueGO, an easy to use Cytoscape plug-in that strongly improves biological interpretation of large lists of genes. ClueGO integrates Gene Ontology (GO) terms as well as KEGG/BioCarta pathways and creates a functionally organized GO/pathway term network. It can analyze one or compar...

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Published in:Bioinformatics Vol. 25; no. 8; pp. 1091 - 1093
Main Authors: Bindea, Gabriela, Mlecnik, Bernhard, Hackl, Hubert, Charoentong, Pornpimol, Tosolini, Marie, Kirilovsky, Amos, Fridman, Wolf-Herman, Pagès, Franck, Trajanoski, Zlatko, Galon, Jérôme
Format: Journal Article
Language:English
Published: Oxford Oxford University Press 15-04-2009
Oxford Publishing Limited (England)
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Summary:We have developed ClueGO, an easy to use Cytoscape plug-in that strongly improves biological interpretation of large lists of genes. ClueGO integrates Gene Ontology (GO) terms as well as KEGG/BioCarta pathways and creates a functionally organized GO/pathway term network. It can analyze one or compare two lists of genes and comprehensively visualizes functionally grouped terms. A one-click update option allows ClueGO to automatically download the most recent GO/KEGG release at any time. ClueGO provides an intuitive representation of the analysis results and can be optionally used in conjunction with the GOlorize plug-in. Availability: http://www.ici.upmc.fr/cluego/cluegoDownload.shtml Contact: jerome.galon@crc.jussieu.fr Supplementary information: Supplementary data are available at Bioinformatics online.
Bibliography:ark:/67375/HXZ-H2XZ57BF-D
To whom correspondence should be addressed.
The authors wish it to be known that, in their opinion, the first two authors should be regarded as Joint First Authors.
istex:7AD3980E5646F91F5D437277015BB78F4C4ECD4B
ArticleID:btp101
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Associate Editor: Trey Ideker
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btp101