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 |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!