To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GraphPAC")

In most cases, you don't need to download the package archive at all.

GraphPAC

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

Bioconductor version: Release (3.4)

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>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GraphPAC")

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

biocViews	Clustering, Proteomics, Software
Version	1.16.0
In Bioconductor since	BioC 2.12 (R-3.0) (4 years)
License	GPL-2
Depends	R (>= 2.15), iPAC, igraph, TSP, RMallow
Imports
LinkingTo
Suggests	RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me	QuartPAC
Imports Me
Suggests Me
Build Report

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

Package Source	GraphPAC_1.16.0.tar.gz
Windows Binary	GraphPAC_1.16.0.zip
Mac OS X 10.9 (Mavericks)	GraphPAC_1.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/GraphPAC/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/GraphPAC/
Package Downloads Report	Download Stats

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