GraphPAC

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see GraphPAC.

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

Bioconductor version: 3.7

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")):

To install this package, start R (version "3.5") 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.

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

Version 1.22.1

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

Suggests RUnit, BiocGenerics

Linking To

Enhances

Depends On Me QuartPAC

Imports Me

Suggests Me

Links To Me

Build Report Build Report

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

Source Package GraphPAC_1.22.1.tar.gz

Windows Binary GraphPAC_1.22.1.zip

Mac OS X 10.11 (El Capitan) GraphPAC_1.22.1.tgz

Source Repository git clone https://git.bioconductor.org/packages/GraphPAC

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GraphPAC

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Old Source Packages for BioC 3.7 Source Archive