MSstatsShiny

MSstats GUI for Statistical Anaylsis of Proteomics Experiments


Bioconductor version: Release (3.20)

MSstatsShiny is an R-Shiny graphical user interface (GUI) integrated with the R packages MSstats, MSstatsTMT, and MSstatsPTM. It provides a point and click end-to-end analysis pipeline applicable to a wide variety of experimental designs. These include data-dependedent acquisitions (DDA) which are label-free or tandem mass tag (TMT)-based, as well as DIA, SRM, and PRM acquisitions and those targeting post-translational modifications (PTMs). The application automatically saves users selections and builds an R script that recreates their analysis, supporting reproducible data analysis.

Author: Devon Kohler [aut, cre], Deril Raju [aut], Maanasa Kaza [aut], Cristina Pasi [aut], Ting Huang [aut], Mateusz Staniak [aut], Dhaval Mohandas [aut], Eduard Sabido [aut], Meena Choi [aut], Olga Vitek [aut]

Maintainer: Devon Kohler <kohler.d at northeastern.edu>

Citation (from within R, enter citation("MSstatsShiny")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MSstatsShiny")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, GUI, ImmunoOncology, MassSpectrometry, Normalization, OneChannel, Proteomics, QualityControl, ShinyApps, Software, TwoChannel
Version 1.7.2
In Bioconductor since BioC 3.16 (R-4.2) (2 years)
License Artistic-2.0
Depends R (>= 4.2)
Imports shiny, shinyBS, shinyjs, shinybusy, dplyr, ggplot2, plotly, data.table, Hmisc, MSstats, MSstatsTMT, MSstatsPTM, MSstatsConvert, gplots, marray, DT, readxl, ggrepel, uuid, utils, stats, htmltools, methods, tidyr, grDevices, graphics, mockery
System Requirements
URL
Bug Reports https://github.com/Vitek-Lab/MSstatsShiny/issues
See More
Suggests rmarkdown, tinytest, sessioninfo, knitr, testthat (>= 3.0.0), shinytest2
Linking To
Enhances
Depends On Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64) MSstatsShiny_1.7.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/MSstatsShiny
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MSstatsShiny
Bioc Package Browser https://code.bioconductor.org/browse/MSstatsShiny/
Package Short Url https://bioconductor.org/packages/MSstatsShiny/
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