To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("iPAC")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
iPAC is a novel tool to identify somatic amino acid mutation clustering within proteins while taking into account protein structure.
Author: Gregory Ryslik, Hongyu Zhao
Maintainer: Gregory Ryslik <gregory.ryslik at yale.edu>
Citation (from within R,
enter citation("iPAC")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("iPAC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iPAC")
R Script | iPAC: identification of Protein Amino acid Mutations | |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, Proteomics, Software |
Version | 1.8.0 |
In Bioconductor since | BioC 2.11 (R-2.15) |
License | GPL-2 |
Depends | R (>= 2.15), gdata, scatterplot3d, Biostrings, multtest |
Imports | |
Suggests | |
System Requirements | |
URL | |
Depends On Me | GraphPAC, SpacePAC |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | iPAC_1.8.0.tar.gz |
Windows Binary | iPAC_1.8.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | iPAC_1.8.0.tgz |
Mac OS X 10.9 (Mavericks) | iPAC_1.8.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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