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motifTestR

Bioc current

Perform key tests for binding motifs in sequence data

v1.8.1 · Package record · software · GPL-3

Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

Taking a set of sequence motifs as PWMs, test a set of sequences for over-representation of these motifs, as well as any positional features within the set of motifs. Enrichment analysis can be undertaken using multiple statistical approaches. The package also contains core functions to prepare data for analysis, and to visualise results.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

38 12 exported

Complexity

4.6 avg / 10 max

Call network

38 nodes / 53 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

5,368

Files

63

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,817 (52.5%)Tests 662 (12.3%)Docs 1,415 (26.4%)Vignettes 474 (8.8%)

API

Exported functions

13

Internal functions

26

Recent export changes

v3.22+1 simMultiMotifs
v3.21+1 simSeq

Testing

Has tests

Yes

Test-to-code ratio

0.24

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

6.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

5

First release

2024-06-03

Latest release

2026-06-30

Avg cadence

189 days

Cold removal rate

–

Dep drift

3

LOC over versions

v3.19: 3,166 LOCv3.20: 4,422 LOCv3.21: 4,877 LOCv3.22: 5,358 LOCv3.23: 5,368 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
README· In the Bioconductor git repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileNo
Help pages
18 (1 internal)includes a package overview page
Examples that run
100%17 run in a plain check
Exported functions with examples
100%
Documented parameters
85%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/smped/motiftestr on 2026-10-21.

Docs source (1)

GitHub Pages site last deployed 2026-06-30

Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 5
NameClassSizeAlso in
ar_er_peaks–––
ar_er_seq–––
ex_pfmlist5 elementsNo other package
hg19_mask–––
zr75_enh–––

All of motifTestR's data objects

Topics

Maintainer
Stevie Pederson

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("motifTestR")
Pederson, S. (2026). motifTestR: Perform key tests for binding motifs in sequence data (Version 1.8.1) [Computer software]. https://bioconductor.org/packages/motifTestR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 motifTestR version 1.8.1 [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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