R Observatory: Metrics for DOtools version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DOtools

Bioc current

Convenient functions to streamline your single cell data analysis workflow

v1.2.0 · software · MIT + file LICENSE

View on Bioconductor ↗ Source ↗

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

This package provides functions for creating various visualizations, convenient wrappers, and quality-of-life utilities for single cell experiment objects. It offers a streamlined approach to visualize results and integrates different tools for easy use.

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

39 24 exported

Complexity

16.1 avg / 102 max

Call network

39 nodes / 50 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Call graph

Open call graph →

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

17,304

Files

291

Compiled share

0%

Has compiled src

No

Language breakdown

R 10,276 (59.4%)Tests 3,443 (19.9%)Docs 2,862 (16.5%)Vignettes 723 (4.2%)

API

Exported functions

24

Internal functions

14

Recent export changes

v3.22+24 DO.Barplot, DO.BarplotClustert, DO.BoxPlot +21 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.34

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

0%

Unsafe pattern score

0

Dep constraint coverage

90.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2026-02-16

Latest release

2026-04-28

Avg cadence

71 days

Cold removal rate

–

Dep drift

2

LOC over versions

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

Documentation

READMEYes · 248 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 83%
Documented parameters: 98%
Return-value docs: 100%
References docs: 0%

Topics

Software › Technology › SingleCell

Software › Technology › Sequencing › RNASeq

Software › WorkflowStep › Visualization

Software › StatisticalMethod › Clustering

Software › WorkflowStep › Annotation

Software › WorkflowStep

Software › WorkflowStep › QualityControl

Software › AssayDomain › GeneExpression

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DOtools")

Format

Ruz Jurado, M., John, D., Rodriguez Morales, D., SFB 1366, Project B04, D., & SFB 1531, Project 456687919, D. (2026). DOtools: Convenient functions to streamline your single cell data analysis workflow (Version 1.2.0) [Computer software]. https://bioconductor.org/packages/DOtools

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DOtools version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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