To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ccTutorial")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This is a data package that accompanies a ChIP-chip tutorial, which has been published in PLoS Computational Biology. The data and source code in this package allow the reader to completely reproduce the steps in the tutorial.
Author: Joern Toedling, Wolfgang Huber
Maintainer: Joern Toedling <joern.toedling at curie.fr>
Citation (from within R,
      enter citation("ccTutorial")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ccTutorial")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ccTutorial")
    
| R Script | A tutorial on how to analyze ChIP-chip readouts using Bioconductor | |
| R Script | Supplement to A tutorial on how to analyze ChIP-chip readouts using Bioconductor | |
| Reference Manual | 
| biocViews | ChIPchipData, ExperimentData | 
| Version | 1.0.26 | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.10), Ringo(>= 1.9.8), affy(>= 1.23.4), topGO(>= 1.13.1) | 
| Imports | Biobase | 
| Suggests | biomaRt, Biobase(>= 2.5.5), xtable | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | ccTutorial_1.0.26.tar.gz | 
| Windows Binary | ccTutorial_1.0.26.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | ccTutorial_1.0.26.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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