Generation of a Molecular Network from Electron Ionization Mass Spectrometry Data by Combining MZmine2 and MetGem Software.
Nicolas ElieCyrille SanterreDavid TouboulPublished in: Analytical chemistry (2019)
Molecular networking (MN) allows one to organize tandem mass spectrometry (MS/MS) data by spectral similarities. Cosine-score used as a metric to calculate the distance between two spectra is based on peak lists containing fragments and neutral losses from MS/MS spectra. Until now, the workflow excluded the generation of the molecular network from electron ionization (EI) MS data as no selection of the putative parent ion is achieved when performing classical gas chromatography (GC)-EI-MS analysis. In order to fill this gap, new functionalities on MetGem 1.2.2 software ( https://github.com/metgem/metgem/releases ) have been implemented, and results from a large EI-MS database and GC-EI-MS analysis will be exemplified.
Keyphrases
- gas chromatography
- mass spectrometry
- tandem mass spectrometry
- ms ms
- liquid chromatography
- ultra high performance liquid chromatography
- high performance liquid chromatography
- high resolution mass spectrometry
- electronic health record
- gas chromatography mass spectrometry
- high resolution
- capillary electrophoresis
- data analysis
- big data
- multiple sclerosis
- simultaneous determination
- solid phase extraction
- liquid chromatography tandem mass spectrometry
- magnetic resonance imaging
- single molecule
- optical coherence tomography
- emergency department
- density functional theory
- magnetic resonance
- machine learning
- solar cells
- ionic liquid
- drug induced
- molecular dynamics
- electron microscopy