- Home
- Bioconductor 2.6
- Software Packages
- BayesPeak
BayesPeak
Bayesian Analysis of ChIP-seq Data
Bioconductor version: 2.6
This package is an implementation of the BayesPeak algorithm for peak calling in ChIP-seq data.
Author: Christiana Spyrou, Jonathan Cairns, Rory Stark, Andy Lynch, Simon Tavar\\'{e},
Maintainer: Jonathan Cairns <jmc200 at cam.ac.uk>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BayesPeak")
To cite this package in a publication, start R and enter:
citation("BayesPeak")
Documentation
| R Script | BayesPeak Vignette | |
| Reference Manual |
Details
| biocViews | ChIPseq |
| Depends | IRanges |
| Imports | IRanges, graphics |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.0.1 |
| Since | Bioconductor 2.6 (R-2.11) |
Package Downloads
| Package Source | BayesPeak_1.0.1.tar.gz |
| Windows Binary | BayesPeak_1.0.1.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | BayesPeak_1.0.1.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!
Contact us: webmaster@bioconductor.org
Hosting provided by Fred Hutchinson Cancer Research Center
Copyright © 2003 - 2012
