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Assembling global maps of cellular function through integrative analysis of physical and genetic networks.


ABSTRACT: To take full advantage of high-throughput genetic and physical interaction mapping projects, the raw interactions must first be assembled into models of cell structure and function. PanGIA (for physical and genetic interaction alignment) is a plug-in for the bioinformatics platform Cytoscape, designed to integrate physical and genetic interactions into hierarchical module maps. PanGIA identifies 'modules' as sets of proteins whose physical and genetic interaction data matches that of known protein complexes. Higher-order functional cooperativity and redundancy is identified by enrichment for genetic interactions across modules. This protocol begins with importing interaction networks into Cytoscape, followed by filtering and basic network visualization. Next, PanGIA is used to infer a set of modules and their functional inter-relationships. This module map is visualized in a number of intuitive ways, and modules are tested for functional enrichment and overlap with known complexes. The full protocol can be completed between 10 and 30 min, depending on the size of the data set being analyzed.

SUBMITTER: Srivas R 

PROVIDER: S-EPMC3383003 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature

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Assembling global maps of cellular function through integrative analysis of physical and genetic networks.

Srivas Rohith R   Hannum Gregory G   Ruscheinski Johannes J   Ono Keiichoro K   Wang Peng-Liang PL   Smoot Michael M   Ideker Trey T  

Nature protocols 20110811 9


To take full advantage of high-throughput genetic and physical interaction mapping projects, the raw interactions must first be assembled into models of cell structure and function. PanGIA (for physical and genetic interaction alignment) is a plug-in for the bioinformatics platform Cytoscape, designed to integrate physical and genetic interactions into hierarchical module maps. PanGIA identifies 'modules' as sets of proteins whose physical and genetic interaction data matches that of known prote  ...[more]

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