iSeq

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

Bioconductor version: 2.7

This package uses Bayesian hidden Ising models to identify IP-enriched genomic regions from ChIP-seq data. It can be used to analyze the 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 1.0.0
Since Bioconductor 2.7 (R-2.12)

Package Downloads

Package Source iSeq_1.0.0.tar.gz
Windows Binary iSeq_1.0.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary iSeq_1.0.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center