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).

Total

45

Last month

45

Last week

45

Average per day

2

Daily downloads

Total downloads

Description file content

Package
PeakSegDisk
Type
Package
Title
Disk-Based Implementation of PeakSegFPOP
Version
2018.11.28
Author
Toby Dylan Hocking
Maintainer
Toby Dylan Hocking
Description
Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).
License
GPL-3
Depends
R (>= 2.10)
Imports
data.table (>= 1.9.8), parallel
Suggests
testthat, ggplot2, penaltyLearning
NeedsCompilation
yes
Packaged
2018-11-28 19:07:33 UTC; tdhock
Repository
CRAN
Date/Publication
2018-12-03 12:42:36 UTC

install.packages('PeakSegDisk')

2018.11.28

6 days ago

Toby Dylan Hocking

GPL-3

Depends on

R (>= 2.10)

Imports

data.table (>= 1.9.8), parallel

Suggests

testthat, ggplot2, penaltyLearning

Discussions