mutscan
This is the released version of mutscan; for the devel version, see mutscan.
All Bioconductor versions of mutscan
3.24 (devel), 3.23 (release), 3.22
Preprocessing and Analysis of Deep Mutational Scanning Data
Bioconductor version: 3.23 · Package version: 1.2.0
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.
Author: Charlotte Soneson [aut, cre] 
, Michael Stadler [aut] , Friedrich Miescher Institute for Biomedical Research [cph]
Maintainer: Charlotte Soneson <charlottesoneson at gmail.com>
Citation
From within R, enter citation("mutscan"):
Charlotte Soneson, Michael Stadler. mutscan: Preprocessing and Analysis of Deep Mutational Scanning Data. doi:10.18129/B9.bioc.mutscan, R package version 1.2.0, https://bioconductor.org/packages/mutscan.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mutscan")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.2.0 |
| License | MIT + file LICENSE |
| URL | https://github.com/fmicompbio/mutscan |
| Bug Reports | https://github.com/fmicompbio/mutscan/issues |
| System Requirements | GNU make |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.22 (R-4.5) (less than a year) |
| Downloads rank | 2076 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneticVariability, GenomicVariation, Preprocessing, Software |
| Package Short Url | https://bioconductor.org/packages/mutscan/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mutscan")| Multiplexed assays of variant effect analysis with mutscan | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | mutscan_1.2.0.tar.gz |
| Windows binary (x86_64) | mutscan_1.2.0.zip |
| macOS binary (arm64) | mutscan_1.2.0.tgz |
| macOS binary (x86_64) | mutscan_1.2.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/mutscan |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/mutscan |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5.0)
Imports: BiocGenerics, S4Vectors, methods, SummarizedExperiment, Rcpp, edgeR (>= 3.42.0), dplyr, Matrix, limma, tidyr, stats, GGally, ggplot2, tidyselect (>= 1.2.0), tibble, rlang, grDevices, csaw, rmarkdown, xfun, DT, ggrepel, IRanges, utils, DelayedArray, tools
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), BiocStyle, knitr, Biostrings, pwalign, plotly, scattermore, BiocManager