GraphPAC
This is the released version of GraphPAC; for the devel version, see 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 | |
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 | |
System Requirements | |
URL |
See More
Suggests | RUnit, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | |
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 | |
Windows Binary (x86_64) | GraphPAC_1.48.0.zip |
macOS Binary (x86_64) | GraphPAC_1.48.0.tgz |
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/ |
Package Downloads Report | Download Stats |