Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra-Reference-Cited by-同舟云学术

Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra

Published:2020-11-23 Issue:4 Volume:39 Page:462-471
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Dührkop Kai^ORCID,Nothias Louis-Félix^ORCID,Fleischauer Markus^ORCID,Reher Raphael^ORCID,Ludwig Marcus^ORCID,Hoffmann Martin A.^ORCID,Petras Daniel,Gerwick William H.,Rousu Juho^ORCID,Dorrestein Pieter C.,Böcker Sebastian^ORCID

Funder

Deutsche Forschungsgemeinschaft

U.S. Department of Health & Human Services | National Institutes of Health

EC | Horizon 2020 Framework Programme

Gordon and Betty Moore Foundation

Academy of Finland

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/s41587-020-0740-8.pdf

Reference79 articles.

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3. Guijas, C. et al. METLIN: a technology platform for identifying knowns and unknowns. Anal. Chem. 90, 3156–3164 (2018).

4. Kind, T. et al. Identification of small molecules using accurate mass MS/MS search. Mass Spectrom. Rev. 37, 513–532 (2018).

5. Allen, F., Greiner, R. & Wishart, D. Competitive fragmentation modeling of ESI–MS/MS spectra for putative metabolite identification. Metabolomics 11, 98–110 (2015).

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