GraphPAC

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


Bioconductor version: Release (3.20)

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 (version "4.4") 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

Reference Manual PDF
NEWS Text

Details

biocViews Clustering, Proteomics, Software
Version 1.48.0
In Bioconductor since BioC 2.12 (R-3.0) (11.5 years)
License GPL-2
Depends R (>= 2.15), iPAC, igraph, TSP, RMallow
Imports
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Suggests RUnit, BiocGenerics
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Package Archives

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

Source Package
Windows Binary (x86_64) GraphPAC_1.48.0.zip
macOS Binary (x86_64)
macOS Binary (arm64) GraphPAC_1.48.0.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/
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