Metabolite discovery through global annotation of untargeted metabolomics data
Abstract A primary goal of metabolomics is to identify all biologically important metabolites. One powerful approach is liquid chromatography-high resolution mass spectrometry (LC-MS), yet most LC-MS peaks remain unidentified. Here, we present a global network optimization approach, NetID, to annota...
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| Published in: | bioRxiv |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| Format: | Paper |
| Language: | English |
| Published: |
Cold Spring Harbor
Cold Spring Harbor Laboratory Press
06.01.2021
Cold Spring Harbor Laboratory |
| Edition: | 1.2 |
| Subjects: | |
| ISSN: | 2692-8205, 2692-8205 |
| Online Access: | Get full text |
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