Package: iSeq
Title: Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden
        Ising Models
Version: 1.65.0
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: 2026-04-28 12:34:53 UTC
RemoteUrl: https://github.com/bioc/iSeq
RemoteRef: HEAD
RemoteSha: d938ef29a636669894dac8570bfa1e16d3573bed
NeedsCompilation: yes
Packaged: 2026-05-30 07:49:08 UTC; root
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-30 07:50:12 UTC; windows
Archs: x64
