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A community resource for paired genomic and metabolomic data mining

Michelle Schorn 1 Stefan Verhoeven 2 Lars Ridder 2 Florian Huber 2 Deepa Acharya 3 Alexander Aksenov 4 Gajender Aleti 4 Jamshid Amiri Moghaddam 5 Allegra Aron 4 Saefuddin Aziz 6, 7 Anelize Bauermeister 4, 8 Katherine Bauman 4 Martin Baunach 9 Christine Beemelmanns 5 J. Michael Beman 10 María Victoria Berlanga-Clavero 11 Alex Blacutt 12 Helge Bode 13, 14, 15 Anne Boullie 16 Asker Brejnrod 4 Tim Bugni 3 Alexandra Calteau 17 Liu Cao 18 Víctor Carrión 19, 20 Raquel Castelo-Branco 21, 22 Shaurya Chanana 3 Alexander Chase 4 Marc Chevrette 3 Leticia Costa-Lotufo 8 Jason Crawford 23, 24 Cameron Currie 3 Bart Cuypers 25, 26 Tam Dang 27 Tristan de Rond 4 Alyssa Demko 4 Elke Dittmann 9 Chao Du 19 Christopher Drozd 12 Jean-Claude Dujardin 26 Rachel Dutton 4 Anna Edlund 28, 4 David Fewer 22 Kyo Kang Chung Kim Ki Kim Seoung Lee Johannes Sørensen Neha Garg Julia Gauglitz Emily Gentry Lena Gerwick Evgenia Glukhov Harald Gross Muriel Gugger 16 Dulce Guillén Matus Eric Helfrich Benjamin-Florian Hempel Jae-Seoun Hur Marianna Iorio Paul Jensen Kyo Bin Kang Leonard Kaysser Neil Kelleher Chung Sub Kim Ki Hyun Kim Irina Koester Gabriele König Tiago Leao Seoung Rak Lee Yi-Yuan Lee Xuanji Li Jessica Little Katherine Maloney Daniel Männle Christian Martin H. Andrew Mcavoy Willam Metcalf Hosein Mohimani Carlos Molina-Santiago Bradley Moore Michael 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 Roper Michael Rust Hamada Saad Carmen Saenz Laura Sanchez Christian Martin 29 Søren Johannes Sørensen Margherita Sosio Roderich Süssmuth Douglas Sweeney Kapil Tahlan Regan Thomson Nicholas Tobias Amaro Trindade-Silva Gilles van Wezel Mingxun Wang Kelly Weldon Fan Zhang Nadine Ziemert Katherine Duncan Max Crüsemann Simon Rogers Pieter Dorrestein 4 Marnix Medema 1 Justin 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
Last modification on : Friday, June 18, 2021 - 10:13:00 AM

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Michelle Schorn, Stefan Verhoeven, Lars Ridder, Florian Huber, Deepa 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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