iSeq

DOI: 10.18129/B9.bioc.iSeq    

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

Bioconductor version: Release (3.14)

Bayesian hidden Ising models are implemented to identify IP-enriched genomic regions from ChIP-seq data. They can be used to analyze ChIP-seq data with and without controls and replicates.

Author: Qianxing Mo

Maintainer: Qianxing Mo <qianxing.mo at moffitt.org>

Installation

To install this package, start R (version "4.1") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("iSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("iSeq")

 

PDF	R Script	iSeq
PDF		Reference Manual
Text		NEWS

Details

biocViews	ChIPSeq, Sequencing, Software
Version	1.46.0
In Bioconductor since	BioC 2.7 (R-2.12) (11.5 years)
License	GPL (>= 2)
Depends	R (>= 2.10.0)
Imports
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Build Report

Package Archives

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

Source Package	iSeq_1.46.0.tar.gz
Windows Binary	iSeq_1.46.0.zip
macOS 10.13 (High Sierra)	iSeq_1.46.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/iSeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/iSeq
Package Short Url	https://bioconductor.org/packages/iSeq/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.14	Source Archive