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: 2.13
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 | CopyNumberVariants, GeneticVariability, SNP, Software, Visualization | 
| Version | 2.8.0 | 
| 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_2.8.0.tar.gz | 
| Windows Binary | SNPchip_2.8.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | SNPchip_2.8.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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