Package: PIPETS 1.1.1

Quinlan Furumo

PIPETS: Poisson Identification of PEaks from Term-Seq data

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.

Authors:Quinlan Furumo [aut, cre]

PIPETS_1.1.1.tar.gz
PIPETS_1.1.1.zip(r-4.5)PIPETS_1.1.1.zip(r-4.4)PIPETS_1.1.1.zip(r-4.3)
PIPETS_1.1.1.tgz(r-4.4-any)PIPETS_1.1.1.tgz(r-4.3-any)
PIPETS_1.1.1.tar.gz(r-4.5-noble)PIPETS_1.1.1.tar.gz(r-4.4-noble)
PIPETS_1.1.1.tgz(r-4.4-emscripten)PIPETS_1.1.1.tgz(r-4.3-emscripten)
PIPETS.pdf |PIPETS.html✨
PIPETS/json (API)
NEWS

# Install 'PIPETS' in R:
install.packages('PIPETS', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/qfurumo/pipets/issues

On BioConductor:PIPETS-1.1.1(bioc 3.20)PIPETS-1.0.1(bioc 3.19)

bioconductor-package

1 exports 1.31 score 32 dependencies

Last updated 1 months agofrom:3dd1762750

Exports:PIPETS_FullRun

Dependencies:askpassBiocGenericsclicurldplyrfansigenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesjsonlitelifecyclemagrittrmimeopensslpillarpkgconfigR6rlangS4VectorssystibbletidyselectUCSC.utilsutf8vctrswithrXVectorzlibbioc

Analyzing 3'-seq/Term-seq Data with PIPETS

Author: Quinlan Furumo

Rendered fromPIPETS.Rmdusingknitr::rmarkdownon Jul 07 2024.

Last update: 2024-06-06
Started: 2023-09-25