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: 2018.10.3
Depends: R (≥ 2.14)
Imports: PeakError, parallel, penaltyLearning
Suggests: testthat, ggplot2 (≥ 2.0), microbenchmark
Published: 2018-10-03
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking at r-project.org>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: PeakSegJoint results

Downloads:

Reference manual: PeakSegJoint.pdf
Package source: PeakSegJoint_2018.10.3.tar.gz
Windows binaries: r-devel: PeakSegJoint_2018.10.3.zip, r-devel-UCRT: PeakSegJoint_2018.10.3.zip, r-release: PeakSegJoint_2018.10.3.zip, r-oldrel: PeakSegJoint_2018.10.3.zip
macOS binaries: r-release (arm64): PeakSegJoint_2018.10.3.tgz, r-release (x86_64): PeakSegJoint_2018.10.3.tgz, r-oldrel: PeakSegJoint_2018.10.3.tgz
Old sources: PeakSegJoint archive

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