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Moiety modeling framework for deriving moiety abundances from mass spectrometry measured isotopologues.

Huan JinHunter N B Moseley
Published in: BMC bioinformatics (2019)
SAGA-optimize is a useful Python package for solving boundary-value inverse problems, and the moiety_modeling package is an easy-to-use tool for mass spectroscopy isotopologue profile deconvolution involving single and multiple isotope tracers. Both packages are freely available on GitHub and via the Python Package Index.
Keyphrases
  • mass spectrometry
  • high resolution
  • gas chromatography
  • mental health
  • liquid chromatography
  • single molecule
  • high performance liquid chromatography
  • simultaneous determination