To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ccTutorial")

In most cases, you don't need to download the package archive at all.

ccTutorial

DOI: 10.18129/B9.bioc.ccTutorial

Data package for ChIP-chip tutorial

Bioconductor version: Release (3.5)

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:

## try http:// if https:// URLs are not supported
source("https://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 ChipOnChipData, ExperimentData, MicroarrayData, Mus_musculus_Data
Version 1.14.0
License Artistic-2.0
Depends R (>= 2.10), Ringo(>= 1.9.8), affy(>= 1.23.4), topGO(>= 1.13.1)
Imports Biobase
LinkingTo
Suggests biomaRt, Biobase(>= 2.5.5), xtable
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package ccTutorial_1.14.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/ccTutorial
Package Short Url http://bioconductor.org/packages/ccTutorial/
Package Downloads Report Download Stats

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