GraphPAC

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 yale.edu>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("GraphPAC")

To cite this package in a publication, start R and enter:

    citation("GraphPAC")

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

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
Imports
Suggests	RUnit, BiocGenerics
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

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