To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GraphPAC")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
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 and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GraphPAC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GraphPAC")
| R Script | iPAC: identification of Protein Amino acid Mutations | |
| Reference Manual | ||
| Text | NEWS |
| biocViews | Clustering, Proteomics, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) |
| License | GPL-2 |
| Depends | R (>= 2.15), iPAC, igraph, TSP, RMallow |
| Imports | |
| Suggests | RUnit, BiocGenerics |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Follow Installation instructions to use this package in your R session.
| Package Source | GraphPAC_1.6.0.tar.gz |
| Windows Binary | GraphPAC_1.6.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | GraphPAC_1.6.0.tgz |
| Mac OS X 10.9 (Mavericks) | GraphPAC_1.6.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
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