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CellBarcode

Bioc current

Cellular DNA Barcode Analysis toolkit

v1.18.0 · software · Artistic-2.0

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

The package CellBarcode performs Cellular DNA Barcode analysis. It can handle all kinds of DNA barcodes, as long as the barcode is within a single sequencing read and has a pattern that can be matched by a regular expression. \code{CellBarcode} can handle barcodes with flexible lengths, with or without UMI (unique molecular identifier). This tool also can be used for pre-processing some amplicon data such as CRISPR gRNA screening, immune repertoire sequencing, and metagenome data.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

52 4 exported

Complexity

2.9 avg / 41 max

Call network

52 nodes / 20 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

8,353

Files

89

Compiled share

9%

Has compiled src

Yes

Language breakdown

R 4,197 (50.2%)C/C++/src 748 (9%)Tests 478 (5.7%)Docs 2,063 (24.7%)Vignettes 867 (10.4%)

API

Exported functions

29

Internal functions

30

Testing & CI

Has tests

Yes

Test-to-code ratio

0.11

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

25%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

4

LOC over versions

v3.14: 6,273 LOCv3.15: 6,273 LOCv3.16: 7,532 LOCv3.17: 7,532 LOCv3.18: 8,355 LOCv3.19: 8,355 LOCv3.20: 8,355 LOCv3.21: 8,353 LOCv3.22: 8,353 LOCv3.23: 8,353 LOC

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

Documentation

Documentation
READMEYes · 192 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CellBarcode")
Sun, W., Lyne, A., & Perie, L. (2026). CellBarcode: Cellular DNA Barcode Analysis toolkit (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/CellBarcode

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 CellBarcode version 1.18.0 [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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