To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("iPAC")

In most cases, you don't need to download the package archive at all.

iPAC

Identification of Protein Amino acid Clustering

Bioconductor version: Release (3.1)

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:

## try http if https is not available
source("https://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")

PDF	R Script	iPAC: identification of Protein Amino acid Mutations
PDF		Reference Manual
Text		NEWS

biocViews	Clustering, Proteomics, Software
Version	1.12.0
In Bioconductor since	BioC 2.11 (R-2.15) (3 years)
License	GPL-2
Depends	R (>= 2.15), gdata, scatterplot3d, Biostrings, multtest
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	GraphPAC, QuartPAC, SpacePAC
Imports Me
Suggests Me
Build Report

Follow Installation instructions to use this package in your R session.

Package Source	iPAC_1.12.0.tar.gz
Windows Binary	iPAC_1.12.0.zip
Mac OS X 10.6 (Snow Leopard)	iPAC_1.12.0.tgz
Mac OS X 10.9 (Mavericks)	iPAC_1.12.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/iPAC/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/iPAC/
Package Downloads Report	Download Stats

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