Change Log
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.
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
v.0.4.3
- Minor bug fix
- Corrected standalone mass for TMT 16-plex 133C
v.0.4.3
- Corrected standalone mass for TMT 16-plex 133C
v.0.4.2
- Added function to collapse individual peptide TMT intensities into protein TMT intensities
- Added options to determining parsimony groups in collapsing peptide data into proteins
- Added option to separate proteins into light and heavy groups based on SILAC labels
- Patching standalone percolator
v.0.4.1
- Added support for TMT 18-plex
- Added non-negative least square method for contamination correction
v.0.4.0
- pyTMT now supports TMT contaminant correction.
- Added support for TMT 16-plex
v.0.3.5
- pyTMT now reads the percolator output log file from crux to assign mzML files to Percolator file_idx
- When no log file is present, pyTMT falls back on the old method of ordering mzML files by file names
v.0.2.8
- input changed from specifying percolator directory to percolator file path
- added preliminary support for standalone percolator output (psms)