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: 3.0
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:
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 | 2.12.0 |
| 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, 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, VanillaICE |
| Build Report |
Follow Installation instructions to use this package in your R session.
| Package Source | SNPchip_2.12.0.tar.gz |
| Windows Binary | SNPchip_2.12.0.zip |
| Mac OS X 10.6 (Snow Leopard) | SNPchip_2.12.0.tgz |
| Mac OS X 10.9 (Mavericks) | SNPchip_2.12.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!