https://github.com/Vitek-Lab/MSstatsTMT
R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
https://github.com/Vitek-Lab/MSstatsTMT
labeling mass-spectrometry msstats proteomics tmt tmt-data-analysis
Last synced: 6 months ago
JSON representation
R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
- Host: GitHub
- URL: https://github.com/Vitek-Lab/MSstatsTMT
- Owner: Vitek-Lab
- Created: 2017-10-13T18:12:43.000Z (almost 8 years ago)
- Default Branch: devel
- Last Pushed: 2025-03-05T15:31:06.000Z (7 months ago)
- Last Synced: 2025-03-05T16:35:29.008Z (7 months ago)
- Topics: labeling, mass-spectrometry, msstats, proteomics, tmt, tmt-data-analysis
- Language: R
- Homepage: https://Vitek-Lab.github.io/MSstatsTMT
- Size: 61.2 MB
- Stars: 28
- Watchers: 7
- Forks: 13
- Open Issues: 14
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-proteomics - MSstatsTMT - R - TMT shotgun proteomics - [paper](https://www.mcponline.org/article/S1535-9476(20)35114-8/fulltext) (6. Stastical Analysis / Table of Contents)
README
# MSstatsTMT
MSstatsTMT is an R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling. It is applicable to isobaric labeling quantitative proteomics, including iTRAQ and TMT. The official webpage is http://msstats.org/msstatstmt/.