Identification of Mutational Clusters in Proteins via a Graph Theoretical Approach.

Bioconductor version: Release (2.12)

Identifies mutational clusters of amino acids in a protein while utilizing the proteins tertiary structure via a graph theoretical model.

Author: Gregory Ryslik, Hongyu Zhao

Maintainer: Gregory Ryslik <gregory.ryslik at>

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PDF R Script iPAC: identification of Protein Amino acid Mutations
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biocViews Bioinformatics, BiologicalDomains, Clustering, Proteomics, Software
Version 1.2.2
In Bioconductor since BioC 2.13 (R-2.18)
License GPL-2
Depends R(>= 2.15), iPAC, igraph, TSP, RMallow
Suggests RUnit, BiocGenerics
System Requirements
Depends On Me
Imports Me
Suggests Me

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Package Source GraphPAC_1.2.2.tar.gz
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Mac OS X 10.6 (Snow Leopard) GraphPAC_1.2.2.tgz
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