GraphPAC

DOI: 10.18129/B9.bioc.GraphPAC    

This is the development version of GraphPAC; for the stable release version, see GraphPAC.

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

Bioconductor version: Development (3.9)

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")):

Installation

To install this package, start R and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("GraphPAC", version = "3.9")

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 1.25.0
In Bioconductor since BioC 2.12 (R-3.0) (5.5 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
Links To Me
Build Report  

Package Archives

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

Source Package GraphPAC_1.25.0.tar.gz
Windows Binary GraphPAC_1.25.0.zip
Mac OS X 10.11 (El Capitan) GraphPAC_1.25.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GraphPAC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GraphPAC
Package Short Url http://bioconductor.org/packages/GraphPAC/
Package Downloads Report Download Stats

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