ccTutorial

This package is for version 3.11 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see ccTutorial.

Data package for ChIP-chip tutorial


Bioconductor version: 3.11

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 (version "4.0") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ccTutorial")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("ccTutorial")
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 R Script
Reference Manual PDF

Details

biocViews ChipOnChipData, ExperimentData, MicroarrayData, Mus_musculus_Data
Version 1.26.0
License Artistic-2.0
Depends R (>= 2.10), Ringo(>= 1.9.8), affy(>= 1.23.4), topGO(>= 1.13.1)
Imports Biobase
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Suggests biomaRt, Biobase(>= 2.5.5), xtable
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Package Archives

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

Source Package ccTutorial_1.26.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/ccTutorial
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ccTutorial
Package Short Url https://bioconductor.org/packages/ccTutorial/
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