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 (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GraphPAC")

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

Documentation

Reference Manual PDF

Details

biocViews Clustering, Proteomics, Software
Version 1.49.0
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)
macOS Binary (x86_64)
macOS Binary (arm64)
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 https://bioconductor.org/packages/GraphPAC/
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