To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PICS")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.
Author: Xuekui Zhang <xzhang at stat.ubc.ca>, Raphael Gottardo <rgottard at fhcrc.org>
Maintainer: Renan Sauteraud <rsautera at fhcrc.org>
Citation (from within R,
      enter citation("PICS")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PICS")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PICS")
    
| R Script | The PICS users guide | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | ChIPseq, Clustering, Sequencing, Software, Visualization | 
| Version | 2.6.0 | 
| In Bioconductor since | BioC 2.6 (R-2.11) | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.14.0), BiocGenerics(>= 0.1.3) | 
| Imports | methods, stats4, IRanges, GenomicRanges, graphics, grDevices, stats, Rsamtools | 
| Suggests | ShortRead, rtracklayer, parallel | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | PING | 
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | PICS_2.6.0.tar.gz | 
| Windows Binary | PICS_2.6.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | PICS_2.6.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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