Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/94654
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Type: Journal article
Title: PINA v2.0: mining interactome modules
Author: Cowley, M.
Pinese, M.
Kassahn, K.
Waddell, N.
Pearson, J.
Grimmond, S.
Biankin, A.
Hautaniemi, S.
Wu, J.
Citation: Nucleic Acids Research, 2011; 40(D1):D862-D865
Publisher: Oxford University Press
Issue Date: 2011
ISSN: 0305-1048
1362-4962
Statement of
Responsibility: 
Mark J. Cowley, Mark Pinese, Karin S. Kassahn, Nic Waddell, John V. Pearson, Sean M. Grimmond, Andrew V. Biankin, Sampsa Hautaniemi, and Jianmin Wu
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/.
Rights: © The Author(s) 2011. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0030035964
DOI: 10.1093/nar/gkr967
Appears in Collections:Ecology, Evolution and Landscape Science publications

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