To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iSeq")

In most cases, you don't need to download the package archive at all.

iSeq

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see iSeq.

Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models

Bioconductor version: 3.2

This package uses Bayesian hidden Ising models to identify IP-enriched genomic regions from ChIP-seq data. It can be used to analyze ChIP-seq data with and without controls and replicates.

Author: Qianxing Mo

Maintainer: Qianxing Mo <qmo at bcm.edu>

Citation (from within R, enter citation("iSeq")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iSeq")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("iSeq")

 

PDF iSeq
PDF   Reference Manual
Text   NEWS

Details

biocViews ChIPSeq, Sequencing, Software
Version 1.22.0
In Bioconductor since BioC 2.7 (R-2.12) (5.5 years)
License GPL (>= 2)
Depends R (>= 2.10.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source iSeq_1.22.0.tar.gz
Windows Binary iSeq_1.22.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) iSeq_1.22.0.tgz
Mac OS X 10.9 (Mavericks) iSeq_1.22.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/iSeq/tree/release-3.2
Package Short Url http://bioconductor.org/packages/iSeq/
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:

Fred Hutchinson Cancer Research Center