iChip

Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

Bioconductor version: Release (2.14)

This package uses hidden Ising models to identify enriched genomic regions in ChIP-chip data. It can be used to analyze the data from multiple platforms (e.g., Affymetrix, Agilent, and NimbleGen), and the data with single to multiple replicates.

Author: Qianxing Mo

Maintainer: Qianxing Mo <qmo at bcm.edu>

To install this package, start R and enter:

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

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

    citation("iChip")

Documentation

PDF R Script iChip
PDF   Reference Manual

Details

biocViews Agilent, ChIPchip, Microarray, NimbleGen, OneChannel, Software
Version 1.18.0
In Bioconductor since BioC 2.6 (R-2.11)
License GPL (>= 2)
Depends R (>= 2.10.0)
Imports limma
Suggests
System Requirements
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Depends On Me
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Package Downloads

Package Source iChip_1.18.0.tar.gz
Windows Binary iChip_1.18.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) iChip_1.18.0.tgz
Mac OS X 10.9 (Mavericks)
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