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magrene

Bioc current

Motif Analysis In Gene Regulatory Networks

v1.14.0 · software · GPL-3

Release Lineage

Entered 3.16 · Nov 2, 2022

Current · Requires R 4.6

1.0 In 8 of 49 releases 3.23

Description

magrene allows the identification and analysis of graph motifs in (duplicated) gene regulatory networks (GRNs), including lambda, V, PPI V, delta, and bifan motifs. GRNs can be tested for motif enrichment by comparing motif frequencies to a null distribution generated from degree-preserving simulated GRNs. Motif frequencies can be analyzed in the context of gene duplications to explore the impact of small-scale and whole-genome duplications on gene regulatory networks. Finally, users can calculate interaction similarity for gene pairs based on the Sorensen-Dice similarity index.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

8 8 exported

Complexity

3.6 avg / 6 max

Call network

8 nodes / 7 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

1,588

Files

49

Compiled share

0%

Has compiled src

No

Language breakdown

R 616 (38.8%)Tests 148 (9.3%)Docs 420 (26.4%)Vignettes 404 (25.4%)

API

Exported functions

8

Internal functions

0

Testing & CI

Has tests

Yes

Test-to-code ratio

0.24

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

4.2.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

8

First release

2023-03-14

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.16: 1,588 LOCv3.17: 1,588 LOCv3.18: 1,588 LOCv3.19: 1,588 LOCv3.20: 1,588 LOCv3.21: 1,588 LOCv3.22: 1,588 LOCv3.23: 1,588 LOC

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

Documentation

Documentation
READMEYes · 340 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductYesContributing guideYes
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
17%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("magrene")
Almeida-Silva, F., & Van de Peer, Y. (2026). magrene: Motif Analysis In Gene Regulatory Networks (Version 1.14.0) [Computer software]. https://bioconductor.org/packages/magrene

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 magrene version 1.14.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

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.

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