MSstatsTMT
Bioc currentProtein Significance Analysis in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
Release Lineage
Entered 3.8 · Oct 31, 2018
Current · Requires R 4.6
Description
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.
Code
Code metrics have not been computed for this package yet.
Topics
Depended on by (4)
Bioconductor (4)
People
- Devon Kohler author maintainer
- Meena Choi author
- Sicheng Hao author
- Ting Huang author
- Deril Raju author
- Mateusz Staniak author
- Olga Vitek author
- Tony Wu author