Bioconductor version: 2.9
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 <j.toedling at imb-mainz.de>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Ringo")
To cite this package in a publication, start R and enter:
citation("Ringo")
R Script | R Investigation of NimbleGen Oligoarrays | |
Reference Manual |
biocViews | Microarray, TwoChannel, DataImport, QualityControl, Preprocessing |
Depends | methods, Biobase(>= 1.14.1), RColorBrewer, limma, Matrix, grid |
Imports | genefilter, limma, vsn |
Suggests | rtracklayer(>= 1.3.1), mclust, topGO(>= 1.15.0) |
System Requirements | |
License | Artistic-2.0 |
URL | |
Depends On Me | Starr |
Imports Me | Repitools |
Suggests Me | Repitools |
Version | 1.18.0 |
Since | Bioconductor 2.0 (R-2.5) |
Package Source | Ringo_1.18.0.tar.gz |
Windows Binary | Ringo_1.18.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | Ringo_1.18.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!