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PIPETS

Poisson Identification of PEaks from Term-Seq data

Bioconductor version: 3.23 · Package version: 1.8.0

PIPETS provides statistically robust analysis for 3'-seq/term-seq data. It utilizes a sliding window approach to apply a Poisson Distribution test to identify genomic positions with termination read coverage that is significantly higher than the surrounding signal. PIPETS then condenses proximal signal and produces strand specific results that contain all significant termination peaks.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("PIPETS")

Details

MaintainerQuinlan Furumo <furumo@bc.edu>
AuthorQuinlan Furumo [aut, cre] (ORCID: <https://orcid.org/0000-0003-4486-302X>)
LicenseGPL-3
URLhttps://github.com/qfurumo/PIPETS
Bug Reportshttps://github.com/qfurumo/PIPETS/issues
Downloads rank270
Source branchRELEASE_3_23
biocViewsCoverage, GeneRegulation, Genetics, PeakDetection, Sequencing, Software, Transcription, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagePIPETS_1.8.0.tar.gz
Windows binary (x86_64)PIPETS_1.8.0.zip
macOS binary (arm64)PIPETS_1.8.0.tgz
macOS binary (x86_64)PIPETS_1.8.0.tgz
Dependencies

Depends: R (>= 4.4.0)

Imports: dplyr, utils, stats, GenomicRanges, BiocGenerics, methods

Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)