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MSstatsShiny

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

MSstats GUI for Statistical Anaylsis of Proteomics Experiments


Bioconductor version: Release (3.22)

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], Anthony Wu [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: Anthony Wu <wu.anthon at northeastern.edu>

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

Installation

To install this package, start R (version "4.5") 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

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

browseVignettes("MSstatsShiny")
MSstatsPTM LabelFree Workflow HTML R Script
Reference Manual PDF

Details

Version 1.12.0
In Bioconductor since BioC 3.16 (R-4.2) (3 years)
License Artistic-2.0
Depends R (>= 4.2)
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Package Archives

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

Windows Binary (x86_64) MSstatsShiny_1.12.0.zip
macOS Binary (x86_64) MSstatsShiny_1.12.0.tgz
macOS Binary (arm64) MSstatsShiny_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MSstatsShiny
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MSstatsShiny
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