To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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: 3.2

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")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SNPchip")

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

browseVignettes("SNPchip")

PDF		Plotting Idiograms
PDF		Reference Manual

biocViews	CopyNumberVariation, GeneticVariability, SNP, Software, Visualization
Version	2.16.0
In Bioconductor since	BioC 2.0 (R-2.5) (9 years)
License	LGPL (>= 2)
Depends	R (>= 2.14.0)
Imports	methods, graphics, lattice, grid, foreach, utils, Biobase, IRanges, GenomeInfoDb, GenomicRanges, SummarizedExperiment, oligoClasses(>= 1.31.1)
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

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

Package Source	SNPchip_2.16.0.tar.gz
Windows Binary	SNPchip_2.16.0.zip
Mac OS X 10.6 (Snow Leopard)	SNPchip_2.16.0.tgz
Mac OS X 10.9 (Mavericks)	SNPchip_2.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/SNPchip/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/SNPchip/
Package Downloads Report	Download Stats

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