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A community resource for paired genomic and metabolomic data mining

Michelle A. Schorn 1 Stefan Verhoeven 2 Lars Ridder 2 Florian Huber 2 Deepa D. Acharya 3 Alexander A. Aksenov 4 Gajender Aleti 4 Jamshid Amiri Moghaddam 5 Allegra T. Aron 4 Saefuddin Aziz 6, 7 Anelize Bauermeister 4, 8 Katherine D. Bauman 4 Martin Baunach 9 Christine Beemelmanns 5 J. Michael Beman 10 María Victoria Berlanga-Clavero 11 Alex A. Blacutt 12 Helge B. Bode 13, 14, 15 Anne Boullie 16 Asker Brejnrod 4 Tim S. Bugni 3 Alexandra Calteau 17 Liu Cao 18 Víctor J. Carrión 19, 20 Raquel Castelo-Branco 21, 22 Shaurya Chanana 3 Alexander B. Chase 4 Marc G. Chevrette 3 Leticia V. Costa-Lotufo 8 Jason M. Crawford 23, 24 Cameron R. Currie 3 Bart Cuypers 25, 26 Tam Dang 27 Tristan de Rond 4 Alyssa M. Demko 4 Elke Dittmann 9 Chao Du 19 Christopher Drozd 12 Jean-Claude Dujardin 26 Rachel J. Dutton 4 Anna Edlund 28, 4 David P. Fewer 22 Kyo Bin Kang Chung Sub Kim Ki Hyun Kim Seoung Rak Lee Johannes Sørensen Neha Garg Julia M Gauglitz Emily C Gentry Lena Gerwick Evgenia Glukhov Harald Gross Muriel Gugger 16 Dulce G Guillén Matus Eric J N Helfrich Benjamin-Florian Hempel Jae-Seoun Hur Marianna Iorio Paul R Jensen Kyo Bin Kang Leonard Kaysser Neil L Kelleher Chung Sub Kim Ki Hyun Kim Irina Koester Gabriele M König Tiago Leao Seoung Rak Lee yi-yuan Lee Xuanji Li Jessica C Little Katherine N Maloney Daniel Männle Christian Martin H. Andrew C Mcavoy Willam W Metcalf Hosein Mohimani Carlos Molina-Santiago Bradley S Moore Michael W Mullowney Mitchell Muskat Louis-Félix Nothias Ellis O’neill Elizabeth Parkinson Daniel Petras Jörn Piel Emily Pierce Karine Pires Raphael Reher Diego Romero M. Caroline Caroline Roper Michael Rust Hamada Saad Carmen Saenz Laura M Sanchez Christian Martin 29 Søren Johannes Sørensen Margherita Sosio Roderich D Süssmuth Douglas Sweeney Kapil Tahlan Regan J Thomson Nicholas J Tobias Amaro E Trindade-Silva Gilles P van Wezel Mingxun Wang Kelly C Weldon Fan Zhang Nadine Ziemert Katherine R Duncan Max Crüsemann Simon Rogers Pieter C Dorrestein 4 Marnix H Medema 1 Justin J J van Der Hooft 1 
Abstract : Genomics and metabolomics are widely used to explore specialized metabolite diversity. The Paired Omics Data Platform is a community initiative to systematically document links between metabolome and (meta)genome data, aiding identification of natural product biosynthetic origins and metabolite structures.
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Submitted on : Friday, February 26, 2021 - 4:10:23 PM
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Michelle A. Schorn, Stefan Verhoeven, Lars Ridder, Florian Huber, Deepa D. Acharya, et al.. A community resource for paired genomic and metabolomic data mining. Nature Chemical Biology, Nature Publishing Group, 2021, ⟨10.1038/s41589-020-00724-z⟩. ⟨pasteur-03153704⟩

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