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MSstatsTMT

Protein Significance Analysis in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling

Bioconductor version: 3.23 · Package version: 2.20.0

The package provides statistical tools for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling. It provides multiple functionalities, including aata visualization, protein quantification and normalization, and statistical modeling and inference. Furthermore, it is inter-operable with other data processing tools, such as Proteome Discoverer, MaxQuant, OpenMS and SpectroMine.

Installation

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

BiocManager::install("MSstatsTMT")

Details

MaintainerDevon Kohler <kohler.d@northeastern.edu>
AuthorDevon Kohler [aut, cre], Ting Huang [aut], Meena Choi [aut], Mateusz Staniak [aut], Tony Wu [aut], Deril Raju [aut], Sicheng Hao [aut], Olga Vitek [aut]
LicenseArtistic-2.0
URLhttp://msstats.org/msstatstmt/
Bug Reportshttps://groups.google.com/forum/#!forum/msstats
Downloads rank581
Source branchRELEASE_3_23
biocViewsImmunoOncology, MassSpectrometry, Proteomics, Software

Documentation

Download

Dependencies

Depends: R (>= 4.2)

Imports: limma, lme4, lmerTest, methods, data.table, stats, utils, ggplot2, grDevices, graphics, MSstats, MSstatsConvert, checkmate, plotly, htmltools

Suggests: BiocStyle, knitr, rmarkdown, testthat

Reverse dependencies

Imports Me (2): MSstatsPTM, MSstatsShiny

Suggests Me (1): MSstatsResponse