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abseqR

Bioc current

Reporting and data analysis functionalities for Rep-Seq datasets of antibody libraries

v1.30.0 · software · GPL-3 | file LICENSE

Release Lineage

Entered 3.8 · Oct 31, 2018

Current · Requires R 4.6

1.0 In 16 of 49 releases 3.23

Description

AbSeq is a comprehensive bioinformatic pipeline for the analysis of sequencing datasets generated from antibody libraries and abseqR is one of its packages. abseqR empowers the users of abseqPy (https://github.com/malhamdoosh/abseqPy) with plotting and reporting capabilities and allows them to generate interactive HTML reports for the convenience of viewing and sharing with other researchers. Additionally, abseqR extends abseqPy to compare multiple repertoire analyses and perform further downstream analysis on its output.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

79 1 exported

Complexity

3.4 avg / 22 max

Call network

79 nodes / 126 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

9,441

Files

443

Compiled share

0%

Has compiled src

No

Language breakdown

R 5,806 (61.5%)Tests 159 (1.7%)Docs 2,574 (27.3%)Vignettes 902 (9.6%)

API

Exported functions

2

Internal functions

61

Recent export changes

v3.8+2 abseqReport, report

Testing & CI

Has tests

Yes

Test-to-code ratio

0.03

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

4%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

1

C++ standard

License

GPL-3 | file LICENSE

License flags

SPDX valid, not OSI

History

Versions

16

First release

2018-10-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.8: 9,441 LOCv3.9: 9,441 LOCv3.10: 9,441 LOCv3.11: 9,441 LOCv3.12: 9,441 LOCv3.13: 9,441 LOCv3.14: 9,441 LOCv3.15: 9,441 LOCv3.16: 9,441 LOCv3.17: 9,441 LOCv3.18: 9,441 LOCv3.19: 9,441 LOCv3.20: 9,441 LOCv3.21: 9,441 LOCv3.22: 9,441 LOCv3.23: 9,441 LOC

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

Documentation

Documentation
READMEYes · 306 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("abseqR")
Fong, J., & Alhamdoosh, M. (2026). abseqR: Reporting and data analysis functionalities for Rep-Seq datasets of antibody libraries (Version 1.30.0) [Computer software]. https://bioconductor.org/packages/abseqR

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 abseqR version 1.30.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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