mutscan
Preprocessing and Analysis of Deep Mutational Scanning Data
Bioconductor version: 3.24 · Package version: 1.3.1
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mutscan")Details
| Maintainer | Charlotte Soneson <charlottesoneson@gmail.com> |
| Author | Charlotte Soneson [aut, cre] (ORCID: <https://orcid.org/0000-0003-3833-2169>), Michael Stadler [aut] (ORCID: <https://orcid.org/0000-0002-2269-4934>), Friedrich Miescher Institute for Biomedical Research [cph] |
| License | MIT + file LICENSE |
| URL | https://github.com/fmicompbio/mutscan |
| Bug Reports | https://github.com/fmicompbio/mutscan/issues |
| System Requirements | GNU make |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneticVariability, GenomicVariation, Preprocessing, Software |
| Package Short Url | https://bioconductor.org/packages/mutscan/ |
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 1.3.1, https://bioconductor.org/packages/mutscan.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | mutscan_1.3.1.tar.gz |
| Windows binary (x86_64) | mutscan_1.3.1.zip |
| macOS binary (arm64) | mutscan_1.3.1.tgz |
| macOS binary (x86_64) | mutscan_1.3.1.tgz |
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