PICS

Probabilistic inference of ChIP-seq

Bioconductor version: 2.6

Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

Author: Xuekui Zhang <xzhang at stat.ubc.ca>, Raphael Gottardo <raph at stat.ubc.ca>

Maintainer: Arnaud Droit <arnaud.droit at ircm.qc.ca>, Xuekui Zhang <xzhang at stat.ubc.ca>, Raphael Gottardo <raph at stat.ubc.ca>

To install this package, start R and enter:

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

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

    citation("PICS")

Documentation

PDF R Script The PICS users guide
PDF   Reference Manual

Details

biocViews Clustering, Statistics, Visualization, Sequencing, ChIPseq
Depends R(>= 2.11.0), IRanges, GenomicRanges, BSgenome, chipseq
Imports IRanges, GenomicRanges, BSgenome, methods, graphics, grDevices, stats
Suggests snowfall, ShortRead, rtracklayer
System Requirements
License Artistic-2.0
URL
Depends On Me
Imports Me
Suggests Me
Version 1.0.6
Since Bioconductor 2.6 (R-2.11)

Package Downloads

Package Source PICS_1.0.6.tar.gz
Windows Binary PICS_1.0.6.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary PICS_1.0.6.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