RiboDiPA
Bioc currentDifferential pattern analysis for Ribo-seq data
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
Description
This package performs differential pattern analysis for Ribo-seq data. It identifies genes with significantly different patterns in the ribosome footprint between two conditions. RiboDiPA contains five major components including bam file processing, P-site mapping, data binning, differential pattern analysis and footprint visualization.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
31 8 exported
Complexity
2.6 avg / 7 max
Call network
31 nodes / 21 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
2,534
Files
33
Compiled share
5.6%
Has compiled src
Yes
Language breakdown
API
Exported functions
12
Internal functions
16
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
4.3%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.1
System requirements
–
C++ standard
–
License
LGPL (>= 3)
License flags
not SPDX, not OSI
History
Versions
11
First release
2021-05-19
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
2
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 94%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 6%
Topics
People
- Ji-Ping Wang author maintainer
- Matt Hope author
- Keren Li author
- Xiaozhong Wang author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RiboDiPA")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.