To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("Ringo")

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

Ringo

R Investigation of ChIP-chip Oligoarrays

Bioconductor version: 3.1

The package Ringo facilitates the primary analysis of ChIP-chip data. The main functionalities of the package are data read-in, quality assessment, data visualisation and identification of genomic regions showing enrichment in ChIP-chip. The package has functions to deal with two-color oligonucleotide microarrays from NimbleGen used in ChIP-chip projects, but also contains more general functions for ChIP-chip data analysis, given that the data is supplied as RGList (raw) or ExpressionSet (pre- processed). The package employs functions from various other packages of the Bioconductor project and provides additional ChIP-chip-specific and NimbleGen-specific functionalities.

Author: Joern Toedling, Oleg Sklyar, Tammo Krueger, Matt Ritchie, Wolfgang Huber

Maintainer: J. Toedling <jtoedling at yahoo.de>

Citation (from within R, enter citation("Ringo")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("Ringo")

Documentation

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

browseVignettes("Ringo")

 

PDF R Script R Investigation of NimbleGen Oligoarrays
PDF   Reference Manual

Details

biocViews DataImport, Microarray, Preprocessing, QualityControl, Software, TwoChannel
Version 1.32.0
In Bioconductor since BioC 2.0 (R-2.5) (8.5 years)
License Artistic-2.0
Depends methods, Biobase(>= 1.14.1), RColorBrewer, limma, Matrix, grid, lattice
Imports BiocGenerics(>= 0.1.11), genefilter, limma, vsn, stats4
LinkingTo
Suggests rtracklayer(>= 1.3.1), mclust, topGO(>= 1.15.0)
SystemRequirements
Enhances
URL
Depends On Me ccTutorial, SimBindProfiles, Starr
Imports Me Repitools
Suggests Me
Build Report  

Package Archives

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

Package Source Ringo_1.32.0.tar.gz
Windows Binary Ringo_1.32.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) Ringo_1.32.0.tgz
Mac OS X 10.9 (Mavericks) Ringo_1.32.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/Ringo/tree/release-3.1
Package Short Url http://bioconductor.org/packages/Ringo/
Package Downloads Report Download Stats

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