iSeq
Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
Bioconductor version: Release (2.12)
This package uses Bayesian hidden Ising models to identify IP-enriched genomic regions from ChIP-seq data. It can be used to analyze ChIP-seq data with and without controls and 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("iSeq")
To cite this package in a publication, start R and enter:
citation("iSeq")
Documentation
| R Script | iSeq | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Bioinformatics, ChIPseq, HighThroughputSequencing, Software |
| Version | 1.12.0 |
| In Bioconductor since | BioC 2.7 (R-2.12) |
| License | GPL (>= 2) |
| Depends | R (>= 2.10.0) |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Downloads
| Package Source | iSeq_1.12.0.tar.gz |
| Windows Binary | iSeq_1.12.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | iSeq_1.12.0.tgz |
| Package Downloads Report | Download Stats |
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