Bioinformatics· 2014Q1
MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments
- 1,161citations
- Q1SCImago
- 2014year
Short summary
MSstats v2.0 is an R package that statistically analyzes quantitative proteomic data from mass spectrometry, supporting label-free and label-based workflows across various acquisition methods.
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Key points
- MSstats v2.0 supports statistical analysis of quantitative proteomic data from mass spectrometry.
- It accommodates both label-free and label-based experimental workflows.
- The package handles data-dependent, targeted, and data-independent spectral acquisition types.
- MSstats relies on linear mixed models for its statistical framework.
- It is available open-source with documentation and example datasets.
AI-generated from the title and abstract; the full text is not read.
Abstract
UNLABELLED: MSstats is an R package for statistical relative quantification of proteins and peptides in mass spectrometry-based proteomics. Version 2.0 of MSstats supports label-free and label-based experimental workflows and data-dependent, targeted and data-independent spectral acquisition. It takes as input identified and quantified spectral peaks, and outputs a list of differentially abundant peptides or proteins, or summaries of peptide or protein relative abundance. MSstats relies on a flexible family of linear mixed models. AVAILABILITY AND IMPLEMENTATION: The code, the documentation and example datasets are available open-source at www.msstats.org under the Artistic-2.0 license. The package can be downloaded from www.msstats.org or from Bioconductor www.bioconductor.org and used in an R command line workflow. The package can also be accessed as an external tool in Skyline (Broudy et al., 2014) and used via graphical user interface.
The authors' abstract, as published at the source. Bioinformatics, 2014 · DOI ↗
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Field: Spectroscopy
SpectroscopyChemistry