iSeq
Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
Bioconductor version: 3.24 · Package version: 1.65.0
Bayesian hidden Ising models are implemented to identify IP-enriched genomic regions from ChIP-seq data. They can be used to analyze ChIP-seq data with and without controls and replicates.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("iSeq") Details
| Maintainer | Qianxing Mo <qianxing.mo@moffitt.org> |
| Author | Qianxing Mo |
| License | GPL (>= 2) |
| Downloads rank | 414 |
| Source branch | devel |
| biocViews | ChIPSeq, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | iSeq_1.65.0.tar.gz |
| Windows binary (x86_64) | iSeq_1.65.0.zip |
| macOS binary (arm64) | iSeq_1.65.0.tgz |
| macOS binary (x86_64) | iSeq_1.65.0.tgz |
Dependencies
Depends: R (>= 2.10.0)