iSeq
Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
Bioconductor version: 3.23 · Package version: 1.64.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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) |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | ChIPSeq, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/iSeq/ |
Citation
From within R, enter citation("iSeq"):
Qianxing Mo. iSeq: Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models. doi:10.18129/B9.bioc.iSeq, R package version 1.64.0, https://bioconductor.org/packages/iSeq.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | iSeq_1.64.0.tar.gz |
| Windows binary (x86_64) | iSeq_1.64.0.zip |
| macOS binary (arm64) | iSeq_1.64.0.tgz |
| macOS binary (x86_64) | iSeq_1.64.0.tgz |
Dependencies
Depends: R (>= 2.10.0)