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).
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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
- 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
2 months ago
Toby Dylan Hocking
GPL-3
Depends on
R (>= 2.10)
Imports
data.table (>= 1.9.8), parallel