Bioconductor-mirror/Ringo: R Investigation of ChIP-chip Oligoarrays
Version 1.41.0

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.

Getting started

Package details

AuthorJoern Toedling, Oleg Sklyar, Tammo Krueger, Matt Ritchie, Wolfgang Huber
Bioconductor views DataImport Microarray Preprocessing QualityControl TwoChannel
MaintainerJ. Toedling <[email protected]>
LicenseArtistic-2.0
Version1.41.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/Ringo")
Bioconductor-mirror/Ringo documentation built on June 1, 2017, 1:05 a.m.