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iSeq

This is the released version of iSeq; for the devel version, see iSeq.

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

DOI: 10.18129/B9.bioc.iSeq

Bioconductor version: Release (3.23)

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")):

Qianxing Mo. iSeq: Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models. doi:10.18129/B9.bioc.iSeq, R package version 1.64.0, https://bioconductor.org/packages/iSeq.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")

Details

Package Archives

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