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multiMiR

Bioc current

Integration of multiple microRNA-target databases with their disease and drug associations

v1.34.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.6 · Oct 31, 2017

Current · Requires R 4.6

1.0 In 18 of 49 releases 3.23

Description

A collection of microRNAs/targets from external resources, including validated microRNA-target databases (miRecords, miRTarBase and TarBase), predicted microRNA-target databases (DIANA-microT, ElMMo, MicroCosm, miRanda, miRDB, PicTar, PITA and TargetScan) and microRNA-disease/drug databases (miR2Disease, Pharmaco-miR VerSe and PhenomiR).

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

77 20 exported

Complexity

2.6 avg / 36 max

Call network

77 nodes / 106 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

3,780

Files

57

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,983 (52.5%)Tests 43 (1.1%)Docs 1,074 (28.4%)Vignettes 680 (18%)

API

Exported functions

20

Internal functions

57

Recent export changes

v3.6+20 all_tables, conserved_tables, diseasedrug_tables +17 more

Testing

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

50%

Unsafe pattern score

0

Dep constraint coverage

22.2%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.4

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

18

First release

2018-02-09

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.6: 3,776 LOCv3.7: 3,776 LOCv3.8: 3,776 LOCv3.9: 3,776 LOCv3.10: 3,776 LOCv3.11: 3,776 LOCv3.12: 3,777 LOCv3.13: 3,777 LOCv3.14: 3,777 LOCv3.15: 3,777 LOCv3.16: 3,777 LOCv3.17: 3,777 LOCv3.18: 3,777 LOCv3.19: 3,777 LOCv3.20: 3,780 LOCv3.21: 3,780 LOCv3.22: 3,780 LOCv3.23: 3,780 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 · 234 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
31 (23 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
3%

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/kechrislab/multimir on 2026-10-21.

Continuous integration (1)
Travis CI (config file)
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
counts_tabledata.frame492 × 6No other package
strains_factorfactor6 elementsNo other package

All of multiMiR's data objects

Topics

Maintainer
Spencer Mahaffey

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("multiMiR")

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

It points to 10.1093/nar/gku631.

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 multiMiR version 1.34.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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