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

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.

Getting started

Package details

AuthorQianxing Mo
Bioconductor views ChIPSeq Sequencing
MaintainerQianxing Mo <qianxing.mo@moffitt.org>
LicenseGPL (>= 2)
Version1.40.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("iSeq")

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iSeq documentation built on April 29, 2020, 2:29 a.m.