To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Rcade")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Rcade (which stands for "R-based analysis of ChIP-seq And Differential Expression") is a tool for integrating ChIP-seq data with differential expression summary data, through a Bayesian framework. A key application is in identifing the genes targeted by a transcription factor of interest - that is, we collect genes that are associated with a ChIP-seq peak, and differential expression under some perturbation related to that TF.
Author: Jonathan Cairns
Maintainer: Jonathan Cairns <jmcairns200 at gmail.com>
Citation (from within R,
enter citation("Rcade")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Rcade")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Rcade")
R Script | Rcade Vignette | |
Reference Manual | ||
Text | README | |
Text | NEWS |
biocViews | ChIPseq, DifferentialExpression, GeneExpression, Genetics, Sequencing, Software, Transcription |
Version | 1.4.0 |
In Bioconductor since | BioC 2.11 (R-2.15) |
License | GPL-2 |
Depends | R (>= 2.14.0), methods, GenomicRanges, baySeq, Rsamtools |
Imports | graphics, IRanges, rgl |
Suggests | limma, biomaRt, RUnit, BiocGenerics |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | Rcade_1.4.0.tar.gz |
Windows Binary | Rcade_1.4.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | Rcade_1.4.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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