iSeq

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

Bioconductor version: 2.8

This package uses Bayesian hidden Ising models to identify IP-enriched genomic regions from ChIP-seq data. It can be used to analyze ChIP-seq data with or without controls.

Author: Qianxing Mo

Maintainer: Qianxing Mo <moq at mskcc.org>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("iSeq")

To cite this package in a publication, start R and enter:

    citation("iSeq")

Documentation

PDF R Script iSeq
PDF   Reference Manual

Details

biocViews ChIP-seq, next generation sequencing, massively parallel sequencing, bioinformatics
Depends R (>= 2.10.0)
Imports
Suggests
System Requirements
License GPL (>= 2)
URL
Depends On Me
Imports Me
Suggests Me
Version 1.4.0
Since Bioconductor 2.7 (R-2.12)

Package Downloads

Package Source iSeq_1.4.0.tar.gz
Windows Binary iSeq_1.4.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary iSeq_1.4.0.tgz
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Fred Hutchinson Cancer Research Center