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.
Bioconductor version: 3.2
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 and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ccTutorial")
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 | ||
Supplement to A tutorial on how to analyze ChIP-chip readouts using Bioconductor | ||
Reference Manual |
biocViews | ChipOnChipData, ExperimentData, MicroarrayData, Mus_musculus_Data |
Version | 1.8.0 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | ccTutorial_1.8.0.tar.gz |
Windows Binary | |
Mac OS X 10.6 (Snow Leopard) | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/ccTutorial/ |
Package Downloads Report | Download Stats |
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