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mutscan

Bioc current

Preprocessing and Analysis of Deep Mutational Scanning Data

v1.2.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

Provides functionality for processing and statistical analysis of multiplexed assays of variant effect (MAVE) and similar data. The package contains functions covering the full workflow from raw FASTQ files to publication-ready visualizations. A broad range of library designs can be processed with a single, unified interface.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

100 18 exported

Complexity

8.4 avg / 125 max

Call network

100 nodes / 100 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

15,861

Files

96

Compiled share

22.4%

Has compiled src

Yes

Language breakdown

R 3,402 (21.4%)C/C++/src 3,557 (22.4%)Tests 6,775 (42.7%)Docs 1,453 (9.2%)Vignettes 674 (4.2%)

API

Exported functions

18

Internal functions

22

Recent export changes

v3.22+18 calcNearestStringDist, calculateFitnessScore, calculateRelativeFC +15 more

Testing

Has tests

Yes

Test-to-code ratio

1.99

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

7.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

1 externalGNU make

C++ standard

C++17

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2025-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.22: 15,859 LOCv3.23: 15,861 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 · 83 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publication
Help pages
16
Examples that run
100%16 run in a plain check
Exported functions with examples
100%
Documented parameters
88%
Return-value docs
100%
Help pages citing references
6%
Vignettes (1)

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fmicompbio/mutscan on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-08-03 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
GSE102901_cis_se–––
multipleVariableRegions_truthlist5 elementsNo other package

All of mutscan's data objects

Topics

Maintainer
Charlotte Soneson

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("mutscan")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1186/s13059-023-02967-0.

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 mutscan version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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