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MSstatsPTM

Post Translational Modification (PTM) Significance Analysis in shotgun mass spectrometry-based proteomic experiments

Install / Use

/learn @Vitek-Lab/MSstatsPTM
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

MSstatsPTM

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MSstatsPTM provides general statistical methods for quantitative characterization of post-translational modifications (PTMs). Supports DDA, DIA, and tandem mass tag (TMT) labeling. Typically, the analysis involves the quantification of PTM sites (i.e., modified residues) and their corresponding proteins, as well as the integration of the quantification results. MSstatsPTM provides functions for summarization, estimation of PTM site abundance, and detection of changes in PTMs across experimental conditions.

Installation

The most recent version of the package is available on Bioconductor:

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

BiocManager::install("MSstatsPTM")

Optionally, the package can be installed directly from Github:

devtools::install_github("Vitek-Lab/MSstatsPTM", build_vignettes = TRUE)

Contributing

We welcome contributions from the community. For details on how to contribute to the development of MSstatsPTM, please refer to the CONTRIBUTING file.

License

Artistic-2.0

View on GitHub
GitHub Stars13
CategoryProduct
Updated6d ago
Forks2

Languages

R

Security Score

95/100

Audited on Mar 30, 2026

No findings