pyTMT - Tandem Mass Tag Quantifier
pyTMT - automated tandem mass tag (TMT) data quantification for Comet and Percolator.
Abstract
This page provides the documentation for the pyTMT package, which is a tool for analyzing tandem mass tag (TMT) labeled quantitative proteomics data.
- Edward Lau Lab, University of Colorado School of Medicine
- Maggie Lam Lab, University of Colorado School of Medicine
About pyTMT
Pytmt returns ms2 tandem mass tag quantification values from Crux/Percolator output and mzML mass spectrometry files. It then performs contamination matrix correction for TMT tags.
Downloads
Latest Updates
v.0.5.0
- Added support for MS3-based TMT quantification
- Added additional contaminant matrices for TMT 10-plex and 16-plex
- pyTMT now uses pymzml v.2.5.2 to read mzML files
See Change Log for details.
The latest version and source code of pyTMT can be found on github: https://github.com/Lau-Lab/pytmt.
See the Documentation page for instructions.
Contributors
- Edward Lau, PhD - ed-lau
- Maggie Lam, PhD - Maggie-Lam
Citations
- Proteomic signatures of acute oxidative stress response to paraquat in the mouse heart. Dostal V, Wood SD, Thomas CT, Han Y, Lau E, Lam MPY. Scientific Reports 10, 18440 (2020) doi: 10.1038/s41598-020-75505-8