MSstatsTMT
Protein Significance Analysis in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
Bioconductor version: 3.24 · Package version: 2.21.1
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
| Maintainer | Devon Kohler <kohler.d@northeastern.edu> |
| Author | Devon Kohler [aut, cre], Ting Huang [aut], Meena Choi [aut], Mateusz Staniak [aut], Tony Wu [aut], Deril Raju [aut], Sicheng Hao [aut], Olga Vitek [aut] |
| License | Artistic-2.0 |
| URL | http://msstats.org/msstatstmt/ |
| Bug Reports | https://groups.google.com/forum/#!forum/msstats |
| Downloads rank | 760 |
| Source branch | devel |
| biocViews | ImmunoOncology, MassSpectrometry, Proteomics, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MSstatsTMT_2.21.1.tar.gz |
| Windows binary (x86_64) | MSstatsTMT_2.21.1.zip |
| macOS binary (arm64) | MSstatsTMT_2.21.1.tgz |
| macOS binary (x86_64) | MSstatsTMT_2.21.1.tgz |