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abseqR

Bioc current

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

v1.30.0 · Package record · 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.

Advisories

None published for Bioconductor

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

439

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

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

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 externalpandoc (>= 1.19.2.1)

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

In the Bioconductor 3.23 release
READMEYes · 306 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
85
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/malhamdoosh/abseqr on 2026-10-18.

Reproducibility and dev environment (1)
Makefile
How this is detected·Detection ruleset v3 (2026-09-26)

Topics

Maintainer
JiaHong Fong

Available on

CRANr2uBioconductorautoCRANCOPR

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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