PeakSegJoint: Joint Peak Detection in Several ChIP-Seq Samples

Jointly segment several ChIP-seq samples to find the peaks which are the same and different across samples. The fast approximate maximum Poisson likelihood algorithm is described in "PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples" <doi:10.48550/arXiv.1506.01286> by TD Hocking and G Bourque.

Version: 2024.1.24
Depends: R (≥ 2.14)
Imports: PeakError, parallel, penaltyLearning
Suggests: testthat, ggplot2 (≥ 2.0), microbenchmark
Published: 2024-01-24
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking at r-project.org>
BugReports: https://github.com/tdhock/PeakSegJoint/issues
License: GPL-3
URL: https://github.com/tdhock/PeakSegJoint
NeedsCompilation: yes
Materials: NEWS
In views: Omics
CRAN checks: PeakSegJoint results

Documentation:

Reference manual: PeakSegJoint.pdf

Downloads:

Package source: PeakSegJoint_2024.1.24.tar.gz
Windows binaries: r-devel: PeakSegJoint_2024.1.24.zip, r-release: PeakSegJoint_2024.1.24.zip, r-oldrel: PeakSegJoint_2024.1.24.zip
macOS binaries: r-release (arm64): PeakSegJoint_2024.1.24.tgz, r-oldrel (arm64): PeakSegJoint_2024.1.24.tgz, r-release (x86_64): PeakSegJoint_2024.1.24.tgz
Old sources: PeakSegJoint archive

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