To install this package, start R and enter:

## try http if https is not available
source("https://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: Release (3.1)

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")):

To install this package, start R and enter:

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

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

biocViews	Clustering, Proteomics, Software
Version	1.6.0
In Bioconductor since	BioC 2.13 (R-3.0) (2 years)
License	GPL-2
Depends	R (>= 2.15), iPAC
Imports
LinkingTo
Suggests	RUnit, BiocGenerics, rgl
SystemRequirements
Enhances
URL
Depends On Me	QuartPAC
Imports Me
Suggests Me
Build Report

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

Package Source	SpacePAC_1.6.0.tar.gz
Windows Binary	SpacePAC_1.6.0.zip
Mac OS X 10.6 (Snow Leopard)	SpacePAC_1.6.0.tgz
Mac OS X 10.9 (Mavericks)	SpacePAC_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/SpacePAC/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/SpacePAC/
Package Downloads Report	Download Stats

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