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SEMPLR

Bioc current

SNP Effect Matrix Pipeline in R

v1.0.1 · 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.

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.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

7,872

Files

321

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 1,079 (13.7%)

API

Exported functions

21

Internal functions

52

Recent export changes

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

Testing & CI

Has tests

Yes

Test-to-code ratio

0.60

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

Documentation
READMEYes · 456 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductYesContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
95%
References docs
0%

Topics

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 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 SEMPLR version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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