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: about 1 month 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 (about 7 years ago)
• Default Branch: devel
• Last Pushed: 2024-10-15T17:54:00.000Z (2 months ago)
• Last Synced: 2024-10-17T01:36:48.551Z (2 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: 26
• Watchers: 7
• Forks: 13
• Open Issues: 13
• 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/.