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MIRA

Bioc current

Methylation-Based Inference of Regulatory Activity

v1.34.0 · software · GPL-3

Release Lineage

Entered 3.6 · Oct 31, 2017

Current · Requires R 4.6

1.0 In 18 of 49 releases 3.23

Description

DNA methylation contains information about the regulatory state of the cell. MIRA aggregates genome-scale DNA methylation data into a DNA methylation profile for a given region set with shared biological annotation. Using this profile, MIRA infers and scores the collective regulatory activity for the region set. MIRA facilitates regulatory analysis in situations where classical regulatory assays would be difficult and allows public sources of region sets to be leveraged for novel insight into the regulatory state of DNA methylation datasets.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

29 11 exported

Complexity

6.3 avg / 34 max

Call network

29 nodes / 32 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

3,907

Files

48

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,329 (59.6%)Tests 434 (11.1%)Docs 761 (19.5%)Vignettes 383 (9.8%)

API

Exported functions

11

Internal functions

18

Recent export changes

v3.6+11 BSBinAggregate, BSreadBiSeq, SummarizedExperimentToDataTable +8 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.19

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

18

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

18

First release

2017-11-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.6: 3,827 LOCv3.7: 3,867 LOCv3.8: 3,892 LOCv3.9: 3,892 LOCv3.10: 3,907 LOCv3.11: 3,907 LOCv3.12: 3,907 LOCv3.13: 3,907 LOCv3.14: 3,907 LOCv3.15: 3,907 LOCv3.16: 3,907 LOCv3.17: 3,907 LOCv3.18: 3,907 LOCv3.19: 3,907 LOCv3.20: 3,907 LOCv3.21: 3,907 LOCv3.22: 3,907 LOCv3.23: 3,907 LOC

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

Documentation

Documentation
READMEYes · 112 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
94%
Return-value docs
100%
References docs
5%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MIRA")
Lawson, J., Bock, C., & Sheffield, N. (2026). MIRA: Methylation-Based Inference of Regulatory Activity (Version 1.34.0) [Computer software]. https://bioconductor.org/packages/MIRA

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 MIRA version 1.34.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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