<p>Advancing fragmentation strategies development in LC-MS metabolomics</p>

Joe Wandy; Vinny Davies; Justin J. J. van der Hooft; Stefan Weidt; Ronan Daly; Simon Rogers

doi:10.7490/f1000research.1118238.1

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Wandy J, Davies V, J. J. van der Hooft J et al. Advancing fragmentation strategies development in LC-MS metabolomics [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):973 (poster) (https://doi.org/10.7490/f1000research.1118238.1)

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Advancing fragmentation strategies development in LC-MS metabolomics

Joe Wandy, Vinny Davies, Justin J. J. van der Hooft, Stefan Weidt, Ronan Daly, Simon Rogers¹

Published 11 Aug 2020 (https://doi.org/10.7490/f1000research.1118238.1)

Author Affiliations

¹ School of Computing Science, University of Glasgow, UK

Copyright © 2020 Wandy J et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 11 Aug 2020

Advancing fragmentation strategies development in LC-MS metabolomics
[version 1; not peer reviewed]

Joe Wandy, Vinny Davies, Justin J. J. van der Hooft, Stefan Weidt, Ronan Daly, Simon Rogers¹

Author Affiliations

¹ School of Computing Science, University of Glasgow, UK

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

DDA, Data Dependent Acquisition, fragmentation, fragmentation strategies, LC-MS, simulator, in-silico, untargeted, metabolomics, mass spectometry, MS

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