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MultiRNAflow

Bioc current

An R package for integrated analysis of temporal RNA-seq data with multiple biological conditions

v1.10.0 · software · GPL-3 | file LICENSE

Release Lineage

Entered 3.18 · Oct 25, 2023

Current · Requires R 4.6

1.0 In 6 of 49 releases 3.23

Description

Our R package MultiRNAflow provides an easy to use unified framework allowing to automatically make both unsupervised and supervised (DE) analysis for datasets with an arbitrary number of biological conditions and time points. In particular, our code makes a deep downstream analysis of DE information, e.g. identifying temporal patterns across biological conditions and DE genes which are specific to a biological condition for each time.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

87 32 exported

Complexity

8.3 avg / 48 max

Call network

87 nodes / 116 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

30,955

Files

134

Compiled share

0%

Has compiled src

No

Language breakdown

R 14,795 (47.8%)Tests 4,417 (14.3%)Docs 5,081 (16.4%)Vignettes 6,662 (21.5%)

API

Exported functions

32

Internal functions

55

Testing & CI

Has tests

Yes

Test-to-code ratio

0.30

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

0%

Unsafe pattern score

12

Dep constraint coverage

100%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4

System requirements

C++ standard

License

GPL-3 | file LICENSE

License flags

SPDX valid, not OSI

History

Versions

6

First release

2023-10-24

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

8

LOC over versions

v3.18: 25,472 LOCv3.19: 31,047 LOCv3.20: 31,047 LOCv3.21: 31,047 LOCv3.22: 30,955 LOCv3.23: 30,955 LOC

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

Documentation

Documentation
READMEYes · 549 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
10%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiRNAflow")
Loubaton, R., Cancéropôle Est, Région Grand Est, Champagnat, N., Vallat, L., & Vallois, P. (2026). MultiRNAflow: An R package for integrated analysis of temporal RNA-seq data with multiple biological conditions (Version 1.10.0) [Computer software]. https://bioconductor.org/packages/MultiRNAflow

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MultiRNAflow version 1.10.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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