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
| R Script | The PICS users guide | |
| 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 |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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