PICS
Probabilistic inference of ChIP-seq
Bioconductor version: 2.10
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: Arnaud Droit <arnaud.droit at crchuq.ulaval.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
| R Script | The PICS users guide | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | ChIPseq, Clustering, Sequencing, Software, Visualization |
| Depends | R (>= 2.11.0), BiocGenerics(>= 0.1.3), IRanges(>= 1.13.10), GenomicRanges, BSgenome |
| Imports | methods, BiocGenerics, stats4, IRanges, GenomicRanges, BSgenome, graphics, grDevices, stats |
| Suggests | snowfall, ShortRead, rtracklayer |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.10.0 |
| Since | Bioconductor 2.6 (R-2.11) |
Package Downloads
| Package Source | PICS_1.10.0.tar.gz |
| Windows Binary | PICS_1.10.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | PICS_1.10.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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