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mutscan

This is the released version of mutscan; for the devel version, see mutscan.

All versions 3.24 (devel), 3.23 (release), 3.22

Preprocessing and Analysis of Deep Mutational Scanning Data


Bioconductor version: Release (3.23)

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] ORCID iD ORCID: 0000-0003-3833-2169 , Michael Stadler [aut] ORCID iD ORCID: 0000-0002-2269-4934 , 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.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mutscan")
mutscan HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews GeneticVariability, GenomicVariation, Preprocessing, Software
Version1.2.0
In Bioconductor sinceBioC 3.22 (R-4.5) (1 year)
License MIT + file LICENSE
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
System RequirementsGNU make
URLhttps://github.com/fmicompbio/mutscan
Bug Reportshttps://github.com/fmicompbio/mutscan/issues
See More
Suggests testthat (>= 3.0.0), BiocStyle, knitr, Biostrings, pwalign, plotly, scattermore, BiocManager
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow 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 (big-sur-x86_64) mutscan_1.2.0.tgz
macOS Binary (sonoma-arm64) mutscan_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/mutscan
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/mutscan
Package Short Url https://bioconductor.org/packages/mutscan/
Package Downloads ReportDownload Stats