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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 rank169
Source branchRELEASE_3_23
biocViewsCoverage, GeneRegulation, Genetics, PeakDetection, Sequencing, Software, Transcription, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.4.0)

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

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