GraphPAC

DOI: 10.18129/B9.bioc.GraphPAC    

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

Bioconductor version: Release (3.6)

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:

## try http:// if https:// URLs are not supported
source("https://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	Clustering, Proteomics, Software
Version	1.20.0
In Bioconductor since	BioC 2.12 (R-3.0) (5 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

Package Archives

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

Source Package	GraphPAC_1.20.0.tar.gz
Windows Binary	GraphPAC_1.20.0.zip
Mac OS X 10.11 (El Capitan)	GraphPAC_1.20.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GraphPAC
Package Short Url	http://bioconductor.org/packages/GraphPAC/
Package Downloads Report	Download Stats