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GraphPAC

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


Bioconductor version: Release (3.18)

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 "4.3") 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")
iPAC: identification of Protein Amino acid Mutations PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, Proteomics, Software
Version 1.44.0
In Bioconductor since BioC 2.12 (R-3.0) (11 years)
License GPL-2
Depends R (>= 2.15), iPAC, igraph, TSP, RMallow
Imports
System Requirements
URL
See More
Suggests RUnit, BiocGenerics
Linking To
Enhances
Depends On Me QuartPAC
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package GraphPAC_1.44.0.tar.gz
Windows Binary GraphPAC_1.44.0.zip
macOS Binary (x86_64) GraphPAC_1.44.0.tgz
macOS Binary (arm64) GraphPAC_1.44.0.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