Ringo

DOI: 10.18129/B9.bioc.Ringo  

This is the development version of Ringo; for the stable release version, see Ringo.

R Investigation of ChIP-chip Oligoarrays

Bioconductor version: Development (3.18)

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 (version "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("Ringo")

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

Documentation

PDF   Reference Manual

Details

biocViews DataImport, Microarray, Preprocessing, QualityControl, Software, TwoChannel
Version 1.65.0
In Bioconductor since BioC 2.0 (R-2.5) (16 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
Imports Me Repitools
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package
Windows Binary Ringo_1.65.0.zip
macOS Binary (x86_64) Ringo_1.65.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/Ringo
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Ringo
Bioc Package Browser https://code.bioconductor.org/browse/Ringo/
Package Short Url https://bioconductor.org/packages/Ringo/
Package Downloads Report Download Stats

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