Package: iSeq
Title: Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden
        Ising Models
Version: 1.63.0
Date: 2018-9-26
Depends: R (>= 2.10.0)
Author: Qianxing Mo
Maintainer: Qianxing Mo <qianxing.mo@moffitt.org>
Description: 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.
LazyData: yes
License: GPL (>= 2)
biocViews: ChIPSeq, Sequencing
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:05:51 UTC
RemoteUrl: https://github.com/bioc/iSeq
RemoteRef: HEAD
RemoteSha: c340405f1924207b564a684d168c415b7182e890
NeedsCompilation: yes
Packaged: 2025-11-02 03:47:08 UTC; root
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 03:48:22 UTC; windows
Archs: x64
