PINA v2.0: Mining interactome modules

Cowley, Mark J., Pinese, Mark, Kassahn, Karin S., Waddell, Nic, Pearson, John V., Grimmond, Sean M., Biankin, Andrew V., Hautaniemi, Sampsa and Wu, Jianmin (2012) PINA v2.0: Mining interactome modules. Nucleic Acids Research, 40 D1: D862-D865. doi:10.1093/nar/gkr967


Author Cowley, Mark J.
Pinese, Mark
Kassahn, Karin S.
Waddell, Nic
Pearson, John V.
Grimmond, Sean M.
Biankin, Andrew V.
Hautaniemi, Sampsa
Wu, Jianmin
Title PINA v2.0: Mining interactome modules
Journal name Nucleic Acids Research   Check publisher's open access policy
ISSN 0305-1048
1362-4962
Publication date 2012-01
Year available 2011
Sub-type Article (original research)
DOI 10.1093/nar/gkr967
Open Access Status DOI
Volume 40
Issue D1
Start page D862
End page D865
Total pages 4
Place of publication Oxford, U.K.
Publisher Oxford University Press
Collection year 2012
Language eng
Formatted abstract
The Protein Interaction Network Analysis (PINA) platform is a comprehensive web resource, which includes a database of unified protein–protein interaction data integrated from six manually curated public databases, and a set of built-in tools for network construction, filtering, analysis and visualization. The second version of PINA enhances its utility for studies of protein interactions at a network level, by including multiple collections of interaction modules identified by different clustering approaches from the whole network of protein interactions (‘interactome’) for six model organisms. All identified modules are fully annotated by enriched Gene Ontology terms, KEGG pathways, Pfam domains and the chemical and genetic perturbations collection from MSigDB. Moreover, a new tool is provided for module enrichment analysis in addition to simple query function. The interactome data are also available on the web site for further bioinformatics analysis. PINA is freely accessible at http://cbg.garvan.unsw.edu.au/pina/.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes First published online: November 8, 2011. Special Issue: "Database issue".

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
Institute for Molecular Bioscience - Publications
 
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Created: Mon, 30 Jan 2012, 15:47:35 EST by Susan Allen on behalf of Institute for Molecular Bioscience