To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("SpacePAC")

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

SpacePAC

Identification of Mutational Clusters in 3D Protein Space via Simulation.

Bioconductor version: 2.13

Identifies clustering of somatic mutations in proteins via a simulation approach while considering the protein's tertiary structure.

Author: Gregory Ryslik, Hongyu Zhao

Maintainer: Gregory Ryslik <gregory.ryslik at yale.edu>

Citation (from within R, enter citation("SpacePAC")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("SpacePAC")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SpacePAC")

 

PDF R Script SpacePAC: Identifying mutational clusters in 3D protein space using simulation
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, Proteomics, Software
Version 1.0.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-2
Depends R (>= 2.15), iPAC
Imports
Suggests RUnit, BiocGenerics, rgl
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source SpacePAC_1.0.0.tar.gz
Windows Binary SpacePAC_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SpacePAC_1.0.0.tgz
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