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ribosomeProfilingQC

Bioc current

Ribosome Profiling Quality Control

v1.24.0 · Package record · software · GPL (>=3) + file LICENSE

Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

Ribo-Seq (also named ribosome profiling or footprinting) measures translatome (unlike RNA-Seq, which sequences the transcriptome) by direct quantification of the ribosome-protected fragments (RPFs). This package provides the tools for quality assessment of ribosome profiling. In addition, it can preprocess Ribo-Seq data for subsequent differential analysis.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

48 35 exported

Complexity

6.5 avg / 28 max

Call network

48 nodes / 41 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

6,540

Files

116

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,551 (54.3%)Tests 294 (4.5%)Docs 1,594 (24.4%)Vignettes 1,101 (16.8%)

API

Exported functions

35

Internal functions

13

Recent export changes

v3.19+3 codonBias, normBy, normalizeTEbyLoess

Testing

Has tests

Yes

Test-to-code ratio

0.08

testthat edition

–

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

4.0

System requirements

–

C++ standard

–

License

GPL (>=3) + file LICENSE

License flags

not SPDX, not OSI

History

Versions

13

First release

2020-08-05

Latest release

2026-04-28

Avg cadence

178 days

Cold removal rate

–

Dep drift

3

LOC over versions

v3.11: 5,688 LOCv3.12: 5,690 LOCv3.13: 5,759 LOCv3.14: 5,751 LOCv3.15: 5,754 LOCv3.16: 5,754 LOCv3.17: 5,797 LOCv3.18: 5,864 LOCv3.19: 6,502 LOCv3.20: 6,537 LOCv3.21: 6,540 LOCv3.22: 6,540 LOCv3.23: 6,540 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 32 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
36
Examples that run
83%30 run in a plain check · 6 never run
Exported functions with examples
100%
Documented parameters
79%
Return-value docs
100%
Help pages citing references
8%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 4
NameClassSizeAlso in
CDS–––
cntslist3 elementsNo other package
danrer10.annotationslist5 elementsNo other package
samplePc–––

All of ribosomeProfilingQC's data objects

Topics

Maintainer
Jianhong Ou

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ribosomeProfilingQC")
Ou, J., & Hoye, M. (2026). ribosomeProfilingQC: Ribosome Profiling Quality Control (Version 1.24.0) [Computer software]. https://bioconductor.org/packages/ribosomeProfilingQC

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ribosomeProfilingQC version 1.24.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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