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.
Bioconductor version: Release (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")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("Ringo")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Ringo")
R Script | R Investigation of NimbleGen Oligoarrays | |
Reference Manual |
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 |
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 |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: