Joint Peak Detection in Several ChIP-Seq Samples
Overview
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" doi:10.48550/arXiv.1506.01286 by TD Hocking and G Bourque.
- update src/profile.c to avoid invalid memory access, thanks CRAN.
From NEWS in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 26
- Examples that run
- 100%11 run in a plain check
- Exported functions with examples
- 73%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 95%
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- 6
Stars over time
Forks over time
PRs over time
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/tdhock/peaksegjoint on 2026-10-22.
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Dependencies
Installing PeakSegJoint adds 20 packages (10 with compiled code, 22 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, penaltyLearning 2.7 MB.
Code & Tests
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Package metadata
- First published
- 2017-08-16
- Total releases
- 9 / 9 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.14
- Bundled data
- 787 KB / 10 files
- Download size
- 760 KB
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