mutscan
Bioc currentPreprocessing and Analysis of Deep Mutational Scanning Data
Release Lineage
Entered 3.22 · Oct 30, 2025
Current · Requires R 4.6
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.
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.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
15,861
Files
101
Compiled share
22.4%
Has compiled src
Yes
Language breakdown
API
Exported functions
18
Internal functions
22
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
1.99
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
7.7%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.5.0
System requirements
1
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 88%
- Return-value docs
- 100%
- References docs
- 6%
Topics
People
- Charlotte Soneson author maintainer
- Friedrich Miescher Institute for Biomedical Research cph
- Michael Stadler author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mutscan")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.
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.