Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints <doi:10.18637/jss.v101.i10> for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).
| Version: | 2022.2.1 |
| Depends: | R (≥ 2.10) |
| Imports: | data.table (≥ 1.9.8) |
| Suggests: | testthat, ggplot2, future.apply, future, knitr, markdown |
| Published: | 2022-02-02 |
| Author: | Toby Dylan Hocking |
| Maintainer: | Toby Dylan Hocking <toby.hocking at r-project.org> |
| BugReports: | https://github.com/tdhock/PeakSegDisk/issues |
| License: | GPL-3 |
| URL: | https://github.com/tdhock/PeakSegDisk |
| NeedsCompilation: | yes |
| Citation: | PeakSegDisk citation info |
| Materials: | NEWS |
| CRAN checks: | PeakSegDisk results |
| Reference manual: | PeakSegDisk.pdf |
| Vignettes: |
Examples Spatial correlation Worst case time complexity |
| Package source: | PeakSegDisk_2022.2.1.tar.gz |
| Windows binaries: | r-devel: PeakSegDisk_2022.2.1.zip, r-release: PeakSegDisk_2022.2.1.zip, r-oldrel: PeakSegDisk_2022.2.1.zip |
| macOS binaries: | r-release (arm64): PeakSegDisk_2022.2.1.tgz, r-oldrel (arm64): PeakSegDisk_2022.2.1.tgz, r-release (x86_64): PeakSegDisk_2022.2.1.tgz, r-oldrel (x86_64): PeakSegDisk_2022.2.1.tgz |
| Old sources: | PeakSegDisk archive |
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