EventsThe 3rd International Electronic Conference on Metabolomics
Published
This submission belongs to the session A. Advanced Metabolomics and Data Analysis Approaches of the event The 3rd International Electronic Conference on Metabolomics
Published date
15 Nov, 2018
Citation
Justin van der Hooft, Madeleine Ernst, Ricardo da Silva, Mingxun Wang, Kyo Bin Kang, Joe Wandy, Simon Rogers, Marnix Medema, Pieter Dorrestein, <span>Integrated metabolome mining and annotation pipeline accelerates elucidation and prioritisation of specialised metabolites</span>, in Proceedings of The 3rd International Electronic Conference on Metabolomics, 15 November–30 November 2018, MDPI: Basel, Switzerland, doi: 10.3390/iecm-3-05843
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Integrated metabolome mining and annotation pipeline accelerates elucidation and prioritisation of specialised metabolites

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Ricardo da Silva 3
Mingxun Wang 2
Pieter Dorrestein 3
1. Bioinformatics Group, Department of Plant Sciences, Wageningen University, Wageningen, The Netherlands
2. Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
3. Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
4. College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Korea.
5. Glasgow Polyomics, University of Glasgow, Glasgow, United Kingdom.
6. Department of Computing Science, University of Glasgow, Glasgow, United Kingdom.
7. Bioinformatics Group, Department of Plant Sciences, Wageningen University, Wageningen, The Netherlands.
Abstract
Keywords
natural products
specialised metabolites
molecular network
substructures
mass spectrometry fragmentation
metabolite annotation
molecular mining