To install this package, start R and enter:

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

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

SNPchip

 

Visualizations for copy number alterations

Bioconductor version: Release (3.1)

This package defines methods for visualizing high-throughput genomic data

Author: Robert Scharpf <rscharpf at jhu.edu> and Ingo Ruczinski

Maintainer: Robert Scharpf <rscharpf at jhu.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("SNPchip")

 

PDF R Script Plotting Idiograms
PDF   Reference Manual

Details

biocViews CopyNumberVariation, GeneticVariability, SNP, Software, Visualization
Version 2.14.0
In Bioconductor since BioC 2.0 (R-2.5) (8.5 years)
License LGPL (>= 2)
Depends R (>= 2.14.0)
Imports graphics, lattice, grid, foreach, utils, methods, oligoClasses(>= 1.21.12), Biobase, GenomicRanges, IRanges, GenomeInfoDb
LinkingTo
Suggests crlmm(>= 1.17.14), RUnit
SystemRequirements
Enhances doSNOW, VanillaICE(>= 1.21.24), RColorBrewer
URL http://www.biostat.jhsph.edu/~iruczins/software/snpchip.html
Depends On Me mBPCR
Imports Me crlmm, phenoTest
Suggests Me Category, MinimumDistance, oligoClasses, VanillaICE
Build Report  

Package Archives

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

Package Source SNPchip_2.14.0.tar.gz
Windows Binary SNPchip_2.14.0.zip
Mac OS X 10.6 (Snow Leopard) SNPchip_2.14.0.tgz
Mac OS X 10.9 (Mavericks) SNPchip_2.14.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/SNPchip/tree/release-3.1
Package Short Url http://bioconductor.org/packages/SNPchip/
Package Downloads Report Download Stats

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