To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iPAC")

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

iPAC

 

   

This is the development version of iPAC; for the stable release version, see iPAC.

Identification of Protein Amino acid Clustering

Bioconductor version: Development (3.4)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iPAC")

Documentation

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

Details

biocViews Clustering, Proteomics, Software
Version 1.17.0
In Bioconductor since BioC 2.11 (R-2.15) (3.5 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  

Package Archives

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

Package Source iPAC_1.17.0.tar.gz
Windows Binary iPAC_1.17.0.zip
Mac OS X 10.9 (Mavericks) iPAC_1.17.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/iPAC
Package Short Url http://bioconductor.org/packages/iPAC/
Package Downloads Report Download Stats

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