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PeakSegJoint  

Joint Peak Detection in Several ChIP-Seq Samples
View on CRAN: Click here


Download and install PeakSegJoint package within the R console
Install from CRAN:
install.packages("PeakSegJoint")

Install from Github:
library("remotes")
install_github("cran/PeakSegJoint")

Install by package version:
library("remotes")
install_version("PeakSegJoint", "2024.12.4")



Attach the package and use:
library("PeakSegJoint")
Maintained by
Toby Dylan Hocking
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-16
Latest Update: 2024-12-04
Description:
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" by TD Hocking and G Bourque.
How to cite:
Toby Dylan Hocking (2017). PeakSegJoint: Joint Peak Detection in Several ChIP-Seq Samples. R package version 2024.12.4, https://cran.r-project.org/web/packages/PeakSegJoint. Accessed 08 Mar. 2026.
Previous versions and publish date:
2017.08.11 (2017-08-16 00:07), 2018.01.09 (2018-10-01 22:50), 2018.10.3 (2018-10-03 23:52), 2022.4.6 (2022-04-07 21:02), 2023.4.24 (2023-04-25 04:20), 2024.1.24 (2024-01-24 20:00), 2024.6.27 (2024-06-27 18:10), 2024.10.1 (2024-10-02 06:40)
Other packages that cited PeakSegJoint R package
View PeakSegJoint citation profile
Other R packages that PeakSegJoint depends, imports, suggests or enhances
Complete documentation for PeakSegJoint
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