GraphPAC

DOI: 10.18129/B9.bioc.GraphPAC  

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

Bioconductor version: Release (3.16)

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 (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GraphPAC")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.40.0
In Bioconductor since	BioC 2.12 (R-3.0) (10 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_1.40.0.tar.gz
Windows Binary	GraphPAC_1.40.0.zip
macOS Binary (x86_64)	GraphPAC_1.40.0.tgz
macOS Binary (arm64)	GraphPAC_1.40.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GraphPAC
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GraphPAC
Bioc Package Browser	https://code.bioconductor.org/browse/GraphPAC/
Package Short Url	https://bioconductor.org/packages/GraphPAC/
Package Downloads Report	Download Stats