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 (2.14)

This package defines methods for visualizing high-throughput genomic data

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

Maintainer: Robert Scharpf <rscharpf at jhsph.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 2.10.0
In Bioconductor since BioC 2.0 (R-2.5)
License LGPL (>= 2)
Depends R (>= 2.14.0)
Imports graphics, lattice, grid, foreach, utils, methods, oligoClasses(>= 1.21.12), Biobase, GenomicRanges
Suggests crlmm(>= 1.17.14), IRanges, RUnit
System Requirements
URL http://www.biostat.jhsph.edu/~iruczins/software/snpchip.html
Depends On Me mBPCR
Imports Me crlmm, phenoTest
Suggests Me Category, MinimumDistance, oligoClasses, VanillaICE

Package Archives

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

Package Source SNPchip_2.10.0.tar.gz
Windows Binary SNPchip_2.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SNPchip_2.10.0.tgz
Mac OS X 10.9 (Mavericks) SNPchip_2.10.0.tgz
Browse/checkout source (username/password: readonly)
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