NOMspectra: An Open-Source Python Package for Processing High Resolution Mass Spectrometry Data on Natural Organic Matter.
Alexander B VolikovGleb RukhovichIrina V PerminovaPublished in: Journal of the American Society for Mass Spectrometry (2023)
The present study introduces NOMspectra, a Python package for processing high resolution mass spectrometry data on complex systems of natural organic matter (NOM). NOM is characterized by multicomponent composition reflected as thousands of signals producing very complex patterns in high resolution mass spectra. This complexity sets special demands on the methods of data processing used for analysis. The developed NOMspectra package offers a comprehensive workflow for processing, analyzing, and visualizing information-rich mass spectra of NOM and HS including algorithms for filtering spectra, recalibrating, and assigning elemental compositions to molecular ions. Additionally, the package includes functions for calculating various molecular descriptors and methods for data visualization. A graphical user interface (GUI) has been developed to make a user-friendly interface for the proposed package.
Keyphrases
- high resolution mass spectrometry
- organic matter
- electronic health record
- liquid chromatography
- big data
- high resolution
- ultra high performance liquid chromatography
- mass spectrometry
- gas chromatography
- tandem mass spectrometry
- density functional theory
- data analysis
- quantum dots
- deep learning
- health information
- fluorescent probe