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
| Maintainer | Quinlan Furumo <furumo@bc.edu> |
| Author | Quinlan Furumo [aut, cre] (ORCID: <https://orcid.org/0000-0003-4486-302X>) |
| License | GPL-3 |
| URL | https://github.com/qfurumo/PIPETS |
| Bug Reports | https://github.com/qfurumo/PIPETS/issues |
| Downloads rank | 169 |
| Source branch | RELEASE_3_23 |
| biocViews | Coverage, GeneRegulation, Genetics, PeakDetection, Sequencing, Software, Transcription, Transcriptomics |
Documentation
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Dependencies
Depends: R (>= 4.4.0)
Imports: dplyr, utils, stats, GenomicRanges, BiocGenerics, methods
Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)