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SEMPLR

Bioc current

SNP Effect Matrix Pipeline in R

v1.0.1 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

SEMPLR computes transcription factor binding affinity scores for genomic positions and genetic variants. Scores are computed from SNP Effect Matrices (SEMs) produced by SEMpl. 223 pre-computed SEMs are included with the package or custom sets can be provided. Enrichment can be tested among sets of genomic positions to determine if transcription factor binding events occur more often than expected. Comparing binding affinity scores between alleles can reveal differences in transcription factor binding with genetic variation. This package also includes several visualization functions to view scores both on the motif and variant/position level.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

71 14 exported

Complexity

2.7 avg / 8 max

Call network

71 nodes / 64 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

7,870

Files

311

Compiled share

2.1%

Has compiled src

Yes

Language breakdown

R 3,327 (42.3%)C/C++/src 168 (2.1%)Tests 2,008 (25.5%)Docs 1,290 (16.4%)Vignettes 1,077 (13.7%)

API

Exported functions

21

Internal functions

52

Recent export changes

v3.23+21 SEMScores, SNPEffectMatrix, SNPEffectMatrixCollection +18 more

Testing

Has tests

Yes

Test-to-code ratio

0.60

testthat edition

3

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

–

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-05-16

Latest release

2026-05-16

Avg cadence

–

Cold removal rate

–

Dep drift

0

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 · 456 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.1Citation fileNoWebsiteYes · pkgdown
Help pages
29 (2 internal)includes a package overview page
Examples that run
100%23 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
95%
Help pages citing references
0%
Vignettes (1)
Changes in 1.0.1 (Bioconductor 3.23)
  • Adjusted enrichSEMs() function to only consider the highest scoring binding

orientation for each sequence/SEM combination in enrichment calculations

  • Documentation updates to scoreVariants(), enrichSEMs(), and the vignette.
  • Fixed bug in plotSEMMotifs() that was mislabeling plotted motifs with

scores for both reverse and forward orientations

From NEWS.md in the release

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/grkenney/semplr on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Governance and community (1)
Code of conduct
Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-05-17 · The repository has a site deploy workflow

pkgdown site last built 2026-05-17

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
SEMC–––

All of SEMPLR's data objects

Topics

Maintainer
Grace Kenney

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SEMPLR")
Kenney, G., NIH NIGMS, NSF GRFP, & Phanstiel, D. (2026). SEMPLR: SNP Effect Matrix Pipeline in R (Version 1.0.1) [Computer software]. https://bioconductor.org/packages/SEMPLR

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 SEMPLR version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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