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iSeq

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

Bioconductor version: 3.24 · Package version: 1.65.0

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.

Installation

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

BiocManager::install("iSeq")

Details

MaintainerQianxing Mo <qianxing.mo@moffitt.org>
AuthorQianxing Mo
LicenseGPL (>= 2)
Downloads rank414
Source branchdevel
biocViewsChIPSeq, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageiSeq_1.65.0.tar.gz
Windows binary (x86_64)iSeq_1.65.0.zip
macOS binary (arm64)iSeq_1.65.0.tgz
macOS binary (x86_64)iSeq_1.65.0.tgz
Dependencies

Depends: R (>= 2.10.0)