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iSeq

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


Bioconductor version: Release (3.18)

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>

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

Installation

To install this package, start R (version "4.3") 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")
iSeq PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews ChIPSeq, Sequencing, Software
Version 1.54.0
In Bioconductor since BioC 2.7 (R-2.12) (13.5 years)
License GPL (>= 2)
Depends R (>= 2.10.0)
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Package Archives

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

Source Package iSeq_1.54.0.tar.gz
Windows Binary iSeq_1.54.0.zip
macOS Binary (x86_64) iSeq_1.54.0.tgz
macOS Binary (arm64) iSeq_1.54.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iSeq
Bioc Package Browser https://code.bioconductor.org/browse/iSeq/
Package Short Url https://bioconductor.org/packages/iSeq/
Package Downloads Report Download Stats