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" <arXiv:1506.01286> by TD Hocking and G Bourque.

Version: 2022.4.6
Depends: R (≥ 2.14)
Imports: PeakError, parallel, penaltyLearning
Suggests: testthat, ggplot2 (≥ 2.0), microbenchmark
Published: 2022-04-07
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking at>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: PeakSegJoint results


Reference manual: PeakSegJoint.pdf


Package source: PeakSegJoint_2022.4.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PeakSegJoint_2022.4.6.tgz, r-oldrel (arm64): PeakSegJoint_2022.4.6.tgz, r-release (x86_64): PeakSegJoint_2022.4.6.tgz, r-oldrel (x86_64): PeakSegJoint_2022.4.6.tgz
Old sources: PeakSegJoint archive


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