GraphPAC
Identification of Mutational Clusters in Proteins via a Graph Theoretical Approach.
Bioconductor version: Release (3.19)
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
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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Clustering, Proteomics, Software |
| Version | 1.46.0 |
| 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 | 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_1.46.0.tar.gz |
| Windows Binary (x86_64) | GraphPAC_1.46.0.zip |
| macOS Binary (x86_64) | GraphPAC_1.46.0.tgz |
| macOS Binary (arm64) | GraphPAC_1.46.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/GraphPAC |
| Source Repository (Developer Access) | git clone [email protected]:packages/GraphPAC |
| Bioc Package Browser | https://code.bioconductor.org/browse/GraphPAC/ |
| Package Short Url | https://bioconductor.org/packages/GraphPAC/ |
| Package Downloads Report | Download Stats |