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.
Bioconductor version: 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")
):
To install this package, start R and enter:
source("http://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")
R Script | Plotting Idiograms | |
Reference Manual |
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 |
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) |
Package Downloads Report | Download Stats |
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