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MetaboSignal

Bioc current

MetaboSignal: a network-based approach to overlay and explore metabolic and signaling KEGG pathways

v1.42.1 · software · GPL-3

Release Lineage

Entered 3.4 · Oct 18, 2016

Current · Requires R 4.6

1.0 In 20 of 49 releases 3.23

Description

MetaboSignal is an R package that allows merging, analyzing and customizing metabolic and signaling KEGG pathways. It is a network-based approach designed to explore the topological relationship between genes (signaling- or enzymatic-genes) and metabolites, representing a powerful tool to investigate the genetic landscape and regulatory networks of metabolic phenotypes.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

69 0 exported

Complexity

4.5 avg / 29 max

Call network

69 nodes / 50 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

4,969

Files

69

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,427 (48.8%)Tests 1 (0%)Docs 1,097 (22.1%)Vignettes 1,444 (29.1%)

API

Exported functions

19

Internal functions

69

Recent export changes

v3.8+1 MS_reactionNetwork
v3.6+18 MS_keggNetwork, MS_distances, MS_shortestPathsNetwork +15 more  −14 MetaboSignal_matrix, MetaboSignal_distances, MetaboSignal_NetworkCytoscape 11 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

0%

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

3.3

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

20

First release

2016-10-20

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

2

LOC over versions

v3.4: 3,796 LOCv3.5: 3,840 LOCv3.6: 4,880 LOCv3.7: 4,880 LOCv3.8: 4,984 LOCv3.9: 4,984 LOCv3.10: 4,991 LOCv3.11: 4,991 LOCv3.12: 4,991 LOCv3.13: 4,991 LOCv3.14: 4,991 LOCv3.15: 4,970 LOCv3.16: 4,970 LOCv3.17: 4,970 LOCv3.18: 4,969 LOCv3.19: 4,969 LOCv3.20: 4,969 LOCv3.21: 4,969 LOCv3.22: 4,969 LOCv3.23: 4,969 LOC

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

Documentation

Documentation
READMEYes · 37 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
63%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
52%

Topics

People

Andrea Rodriguez-Martinez

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MetaboSignal")

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 MetaboSignal version 1.42.1 [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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