Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment

Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment

Molecular networking connects molecules based on their fragment ion mass spectra (MS2), but may leave adduct species from the same molecular family separate. To address this issue, the authors develop a networking approach that fuses MS1- and MS2-based networks and integrate it into the GNPS environ...

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Auteurs principaux: Robin Schmid, Daniel Petras, Louis-Félix Nothias, Mingxun Wang, Allegra T. Aron, Annika Jagels, Hiroshi Tsugawa, Johannes Rainer, Mar Garcia-Aloy, Kai Dührkop, Ansgar Korf, Tomáš Pluskal, Zdeněk Kameník, Alan K. Jarmusch, Andrés Mauricio Caraballo-Rodríguez, Kelly C. Weldon, Melissa Nothias-Esposito, Alexander A. Aksenov, Anelize Bauermeister, Andrea Albarracin Orio, Carlismari O. Grundmann, Fernando Vargas, Irina Koester, Julia M. Gauglitz, Emily C. Gentry, Yannick Hövelmann, Svetlana A. Kalinina, Matthew A. Pendergraft, Morgan Panitchpakdi, Richard Tehan, Audrey Le Gouellec, Gajender Aleti, Helena Mannochio Russo, Birgit Arndt, Florian Hübner, Heiko Hayen, Hui Zhi, Manuela Raffatellu, Kimberly A. Prather, Lihini I. Aluwihare, Sebastian Böcker, Kerry L. McPhail, Hans-Ulrich Humpf, Uwe Karst, Pieter C. Dorrestein
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/c79c811ddd0b40428c0ef8e4c5a7fe4c
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Résumé:Molecular networking connects molecules based on their fragment ion mass spectra (MS2), but may leave adduct species from the same molecular family separate. To address this issue, the authors develop a networking approach that fuses MS1- and MS2-based networks and integrate it into the GNPS environment.

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