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

Bioconductor version: Release (2.14)

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>

To install this package, start R and enter:


Citation (from within R, enter citation("GraphPAC")):


PDF R Script iPAC: identification of Protein Amino acid Mutations
PDF   Reference Manual
Text   NEWS


biocViews Clustering, Proteomics, Software
Version 1.6.0
In Bioconductor since BioC 2.12 (R-3.0)
License GPL-2
Depends R (>= 2.15), iPAC, igraph, TSP, RMallow
Suggests RUnit, BiocGenerics
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source GraphPAC_1.6.0.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) GraphPAC_1.6.0.tgz
Mac OS X 10.9 (Mavericks) GraphPAC_1.6.0.tgz
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