pyMacroMS - High performance quantification of complex high resolution polymer mass spectra
High performance quantification of complex high resolution polymer mass spectra
The purpose of this program is to identify and quantify macromolecular species in high resolution mass spectra based on the used monomer(s), possible end-groups and the adduct ion. Experimental spectra are imported as a centroided peaklist from a comma-separated values (csv) file. Please find code for example usage in the example_scripts directory.
pyMacroMS requires the following modules to be installed:
- IsoSpecPy for the generation of isotopic patterns
- numpy and pandas for data processing
- sklearn for quantification via linear regression
- matplotlib for quick representation of results
- progressbar2 for feedback during the more time consuming steps
Please refer to our publication for more details about the algorithm and cite us when using pyMacroMS in your work:
K. De Bruycker, T. Krappitz, C. Barner-Kowollik, ACS Macro Lett. 2018. DOI: 10.1021/acsmacrolett.8b00804
pyMacroMS is available free of charge under a GNU General Public License v3.0. See the LICENCE file for more details.
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