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")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://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 1.6.0
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  

Package Archives

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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