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mitology

Bioc current

Study of mitochondrial activity from RNA-seq data

v1.4.0 · Package record · software · AGPL-3

Release Lineage

Entered 3.21 · Apr 16, 2025

Current · Requires R 4.6

1.0 In 3 of 49 releases 3.23

Description

mitology allows to study the mitochondrial activity throught high-throughput RNA-seq data. It is based on a collection of genes whose proteins localize in to the mitochondria. From these, mitology provides a reorganization of the pathways related to mitochondria activity from Reactome and Gene Ontology. Further a ready-to-use implementation of MitoCarta3.0 pathways is included.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

13 6 exported

Complexity

4.2 avg / 8 max

Call network

13 nodes / 18 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

1,108

Files

32

Compiled share

0%

Has compiled src

No

Language breakdown

R 509 (45.9%)Tests 75 (6.8%)Docs 304 (27.4%)Vignettes 220 (19.9%)

API

Exported functions

6

Internal functions

7

Recent export changes

v3.22+3 enrichMito, gseaMito, mitoTreePoint
v3.21+3 getGeneSets, mitoHeatmap, mitoTreeHeatmap

Testing

Has tests

Yes

Test-to-code ratio

0.15

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

4.5.0

System requirements

–

C++ standard

–

License

AGPL-3

License flags

SPDX valid, OSI approved

History

Versions

3

First release

2025-04-15

Latest release

2026-04-28

Avg cadence

189 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.21: 740 LOCv3.22: 1,108 LOCv3.23: 1,108 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 · 72 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
9 (1 internal)includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/caluralab/mitology on 2026-10-22.

Docs source (1)
README.Rmd
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
MitoGenesDBdata.frame2,996 × 3No other package
ovse–––

9 internal objects are bundled for the package's own use and not listed here.

All of mitology's data objects

Topics

Maintainer
Stefania Pirrotta

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("mitology")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1101/2024.11.27.625451.

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 mitology version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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