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: 2017.08.11
Depends: R (≥ 2.14)
Imports: data.table (≥ 1.9.4), PeakError, parallel, penaltyLearning
Suggests: testthat, ggplot2 (≥ 2.0)
Published: 2017-08-15
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_2017.08.11.tar.gz
Windows binaries: r-devel: PeakSegJoint_2017.08.11.zip, r-release: PeakSegJoint_2017.08.11.zip, r-oldrel: PeakSegJoint_2017.08.11.zip
OS X binaries: r-release: PeakSegJoint_2017.08.11.tgz, r-oldrel: not available

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