This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see ccTutorial.
Bioconductor version: 3.14
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 (version "4.1") 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.
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 | ChipOnChipData, ExperimentData, MicroarrayData, Mus_musculus_Data |
Version | 1.32.0 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | ccTutorial_1.32.0.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/ |
Package Downloads Report | Download Stats |
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