Abstract
Molecular networking has become a key method to visualize and annotate the chemical space in non-targeted mass spectrometry data. We present feature-based molecular networking (FBMN) as an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools. FBMN enables quantitative analysis and resolution of isomers, including from ion mobility spectrometry.
| Original language | English |
|---|---|
| Pages (from-to) | 905-908 |
| Number of pages | 4 |
| Journal | Nature Methods |
| Volume | 17 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 24 Aug 2020 |
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