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openPrimeR

Bioc current

Multiplex PCR Primer Design and Analysis

v1.34.0 · Package record · software · GPL-2

Release Lineage

Entered 3.6 · Oct 31, 2017

Current · Requires R 4.6

1.0 In 18 of 49 releases 3.23

Description

An implementation of methods for designing, evaluating, and comparing primer sets for multiplex PCR. Primers are designed by solving a set cover problem such that the number of covered template sequences is maximized with the smallest possible set of primers. To guarantee that high-quality primers are generated, only primers fulfilling constraints on their physicochemical properties are selected. A Shiny app providing a user interface for the functionalities of this package is provided by the 'openPrimeRui' package.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

377 34 exported

Complexity

5.8 avg / 65 max

Call network

377 nodes / 578 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

35,819

Files

894

Compiled share

0%

Has compiled src

No

Language breakdown

R 22,179 (61.9%)Tests 725 (2%)Docs 12,390 (34.6%)Vignettes 525 (1.5%)

API

Exported functions

47

Internal functions

343

Recent export changes

v3.6+43 Primers, Templates, adjust_binding_regions +40 more

Testing

Has tests

Yes

Test-to-code ratio

0.03

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

12.5%

Unsafe pattern score

12

Dep constraint coverage

96.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0.0

System requirements

5 externalMAFFT (>= 7.305), OligoArrayAux (>= 3.8), ViennaRNA (>= 2.4.1), MELTING (>= 5.1.1), Pandoc (>= 1.12.3)

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

18

First release

2018-03-22

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

6

LOC over versions

v3.6: 26,618 LOCv3.7: 26,613 LOCv3.8: 26,763 LOCv3.9: 26,763 LOCv3.10: 26,763 LOCv3.11: 26,863 LOCv3.12: 26,863 LOCv3.13: 26,863 LOCv3.14: 26,863 LOCv3.15: 26,863 LOCv3.16: 26,863 LOCv3.17: 26,863 LOCv3.18: 26,863 LOCv3.19: 26,760 LOCv3.20: 26,760 LOCv3.21: 35,819 LOCv3.22: 35,819 LOCv3.23: 35,819 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 · 411 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
359 (347 internal)includes a package overview page
Examples that run
90%18 run in a plain check · 2 never run
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
3%
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

1 practice detected in the Bioconductor git repository

Continuous integration (1)
Travis CI (config file)

Datasets

Bundled datasets · 10
NameClassSizeAlso in
feature.matrixdata.frame908 × 32No other package
primer.datalist31 elementsNo other package
primer.dfPrimers151 elementsNo other package
ref.datadata.frame940 × 3No other package
settings–––
template.datalist31 elementsNo other package
template.dfTemplates35 elementsNo other package
tiller.primer.dfPrimers151 elementsNo other package
tiller.settings–––
tiller.template.dfTemplates35 elementsNo other package

6 internal objects are bundled for the package's own use and not listed here.

All of openPrimeR's data objects

Topics

Maintainer
Matthias Döring

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("openPrimeR")

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

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 openPrimeR version 1.34.0 [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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