To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Ringo")
In most cases, you don't need to download the package archive at all.
Ringo
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R Investigation of ChIP-chip Oligoarrays
Bioconductor version: Release (3.5)
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:// URLs are not supported
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")
| R Script | R Investigation of NimbleGen Oligoarrays | |
| Reference Manual |
Details
| biocViews | DataImport, Microarray, Preprocessing, QualityControl, Software, TwoChannel |
| Version | 1.40.0 |
| In Bioconductor since | BioC 2.0 (R-2.5) (10.5 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.
| Source Package | Ringo_1.40.0.tar.gz |
| Windows Binary | Ringo_1.40.0.zip (32- & 64-bit) |
| Mac OS X 10.11 (El Capitan) | Ringo_1.40.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/Ringo |
| Package Short Url | http://bioconductor.org/packages/Ringo/ |
| Package Downloads Report | Download Stats |
Documentation »
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