SpacePAC

DOI: 10.18129/B9.bioc.SpacePAC    

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

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
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	1.16.0
In Bioconductor since	BioC 2.13 (R-3.0) (4.5 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.

Source Package	SpacePAC_1.16.0.tar.gz
Windows Binary	SpacePAC_1.16.0.zip
Mac OS X 10.11 (El Capitan)	SpacePAC_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/SpacePAC
Package Short Url	http://bioconductor.org/packages/SpacePAC/
Package Downloads Report	Download Stats