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.

ccTutorial

Data package for ChIP-chip tutorial

Bioconductor version: Release (3.0)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("ccTutorial")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ccTutorial")

 

PDF R Script A tutorial on how to analyze ChIP-chip readouts using Bioconductor
PDF R Script Supplement to A tutorial on how to analyze ChIP-chip readouts using Bioconductor
PDF   Reference Manual

Details

biocViews ChIPchipData, ExperimentData
Version 1.3.1
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

Package Archives

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

Package Source ccTutorial_1.3.1.tar.gz
Windows Binary ccTutorial_1.3.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) ccTutorial_1.3.1.tgz
Mac OS X 10.9 (Mavericks) ccTutorial_1.3.1.tgz
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