Skip to content

periodicDNA

Bioc current

Set of tools to identify periodic occurrences of k-mers in DNA sequences

v1.22.0 · software · GPL-3 + file LICENSE

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

Description

This R package helps the user identify k-mers (e.g. di- or tri-nucleotides) present periodically in a set of genomic loci (typically regulatory elements). The functions of this package provide a straightforward approach to find periodic occurrences of k-mers in DNA sequences, such as regulatory elements. It is not aimed at identifying motifs separated by a conserved distance; for this type of analysis, please visit MEME website.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

35 7 exported

Complexity

3.9 avg / 21 max

Call network

35 nodes / 31 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

3,491

Files

64

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,298 (65.8%)Tests 172 (4.9%)Docs 814 (23.3%)Vignettes 207 (5.9%)

API

Exported functions

7

Internal functions

28

Testing & CI

Has tests

Yes

Test-to-code ratio

0.07

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0

System requirements

C++ standard

License

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

12

First release

2020-10-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v3.12: 3,484 LOCv3.13: 3,484 LOCv3.14: 3,484 LOCv3.15: 3,484 LOCv3.16: 3,484 LOCv3.17: 3,491 LOCv3.18: 3,491 LOCv3.19: 3,491 LOCv3.20: 3,491 LOCv3.21: 3,491 LOCv3.22: 3,491 LOCv3.23: 3,491 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 339 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
93%
Return-value docs
100%
References docs
46%

Topics

People

Report a problem with this page →