Package: PIPETS 1.3.0

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_1.3.0.tar.gz
PIPETS_1.3.0.zip(r-4.5)PIPETS_1.3.0.zip(r-4.4)PIPETS_1.1.5.zip(r-4.3)
PIPETS_1.3.0.tgz(r-4.4-any)PIPETS_1.1.5.tgz(r-4.3-any)
PIPETS_1.3.0.tar.gz(r-4.5-noble)PIPETS_1.3.0.tar.gz(r-4.4-noble)
PIPETS_1.3.0.tgz(r-4.4-emscripten)PIPETS_1.1.5.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-1.3.0(bioc 3.21)PIPETS-1.2.0(bioc 3.20)

sequencingtranscriptiongeneregulationpeakdetectiongeneticstranscriptomicscoverage

4.04 score 2 scripts 158 downloads 1 exports 32 dependencies

Last updated 2 months agofrom:611f6762e1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-winOKDec 17 2024
R-4.5-linuxOKDec 17 2024
R-4.4-winOKDec 17 2024
R-4.4-macOKDec 17 2024
R-4.3-winOKOct 01 2024
R-4.3-macOKOct 01 2024

Exports:PIPETS_FullRun

Dependencies:askpassBiocGenericsclicurldplyrfansigenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesjsonlitelifecyclemagrittrmimeopensslpillarpkgconfigR6rlangS4VectorssystibbletidyselectUCSC.utilsutf8vctrswithrXVectorzlibbioc

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

Rendered fromPIPETS.Rmdusingknitr::rmarkdownon Dec 17 2024.

Last update: 2024-09-30
Started: 2023-09-25