mFam – prediction of metabolite families based on spectral data
| Autor: | Hendrik Treutler, Asaph Aharoni, Pierre-Marie Allard, Megan Augustin, Ulschan Bathe, David Broadhurst, Corey Broeckling, Joerg Buescher, Stefanie Doell, Oliver Fiehn, Maximilian Frey, Andrej Frolov, Emmanuel Gaquerel, Geert Goeminne, Alain Goossens, Jeremy Grosjean, Maria Halabalaki, Stephanie Herman, Justin van der Hooft, Kim Kultima, Toni Kutchan, Romain Larbat, Tytus Mak, Jacob Pollier, Stacey Reinke, Nir Shahaf, Amy Sheflin, Alena Soboleva, Otmar Spring, Lloyd Sumner, Ric de Vos, Jean-Luc Wolfender, Gerd Ulrich Balcke, Steffen Neumann |
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| Přispěvatelé: | University of California [Davis] (UC Davis), University of California, Institut de biologie moléculaire des plantes (IBMP), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Universiteit Gent = Ghent University [Belgium] (UGENT), Laboratoire Agronomie et Environnement (LAE), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Wageningen University and Research [Wageningen] (WUR) |
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| Zdroj: | HAL Metabolomics Metabolomics, Jun 2019, La Haye, Netherlands |
| Popis: | International audience |
| Databáze: | OpenAIRE |
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