PIPETS
Bioc currentPoisson Identification of PEaks from Term-Seq data
Release Lineage
Entered 3.19 · May 1, 2024
Current · Requires R 4.6
Description
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.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
14 1 exported
Complexity
5.9 avg / 20 max
Call network
14 nodes / 15 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
13,407
Files
19
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
1
Internal functions
13
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
6.47
testthat edition
3
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.4.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
5
First release
2024-07-12
Latest release
2026-04-28
Avg cadence
175 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Quinlan Furumo author maintainer