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monaLisa

Bioc current

Binned Motif Enrichment Analysis and Visualization

v1.18.0 · Package record · software · GPL (>= 3)

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

Useful functions to work with sequence motifs in the analysis of genomics data. These include methods to annotate genomic regions or sequences with predicted motif hits and to identify motifs that drive observed changes in accessibility or expression. Functions to produce informative visualizations of the obtained results are also provided.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

61 26 exported

Complexity

6.3 avg / 41 max

Call network

61 nodes / 134 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

12,454

Files

92

Compiled share

0%

Has compiled src

No

Language breakdown

R 6,132 (49.2%)Tests 2,051 (16.5%)Docs 2,779 (22.3%)Vignettes 1,492 (12%)

API

Exported functions

27

Internal functions

35

Testing

Has tests

Yes

Test-to-code ratio

0.33

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

20%

Unsafe pattern score

0

Dep constraint coverage

7.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

–

C++ standard

–

License

GPL (>= 3)

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

9

LOC over versions

v3.14: 11,254 LOCv3.15: 11,574 LOCv3.16: 11,574 LOCv3.17: 11,574 LOCv3.18: 11,619 LOCv3.19: 11,619 LOCv3.20: 11,637 LOCv3.21: 12,439 LOCv3.22: 12,438 LOCv3.23: 12,454 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 · 291 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
38 (12 internal)includes a package overview page
Examples that run
100%26 run in a plain check
Exported functions with examples
100%
Documented parameters
92%
Return-value docs
100%
Help pages citing references
5%

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fmicompbio/monalisa on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-06-13 · The repository has a site deploy workflow

pkgdown site last built 2026-06-13

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Topics

Maintainer
Michael Stadler

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("monaLisa")

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

It points to 10.1093/bioinformatics/btac102.

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 monaLisa version 1.18.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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