PeakSegDisk: Disk-Based Implementation of PeakSegFPOP

Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints <arXiv:1810.00117> for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).

Version: 2018.11.28
Depends: R (≥ 2.10)
Imports: data.table (≥ 1.9.8), parallel
Suggests: testthat, ggplot2, penaltyLearning
Published: 2018-12-03
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking at r-project.org>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: PeakSegDisk results

Downloads:

Reference manual: PeakSegDisk.pdf
Package source: PeakSegDisk_2018.11.28.tar.gz
Windows binaries: r-devel: PeakSegDisk_2018.11.28.zip, r-release: PeakSegDisk_2018.11.28.zip, r-oldrel: PeakSegDisk_2018.11.28.zip
OS X binaries: r-release: PeakSegDisk_2018.11.28.tgz, r-oldrel: PeakSegDisk_2018.11.28.tgz

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