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

GraphPAC

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

Bioconductor version: 2.13

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>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GraphPAC")

 

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

Details

biocViews	Bioinformatics, BiologicalDomains, Clustering, Proteomics, Software
Version	1.4.0
In Bioconductor since	BioC 2.12 (R-3.0)
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

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	GraphPAC_1.4.0.tar.gz
Windows Binary	GraphPAC_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	GraphPAC_1.4.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats