ccTutorial

DOI: 10.18129/B9.bioc.ccTutorial    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see ccTutorial.

Data package for ChIP-chip tutorial

Bioconductor version: 3.13

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

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	1.30.0
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
Links To Me
Build Report

Package Archives

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

Source Package	ccTutorial_1.30.0.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 [email protected]:packages/ccTutorial
Package Short Url	https://bioconductor.org/packages/ccTutorial/
Package Downloads Report	Download Stats