A community resource for paired genomic and metabolomic data mining

Michelle A. Schorn, Stefan Verhoeven, Lars Ridder, Florian Huber, Deepa D. Acharya, Alexander A. Aksenov, Gajender Aleti, Jamshid Amiri Moghaddam, Allegra T. Aron, Saefuddin Aziz, Anelize Bauermeister, Katherine D. Bauman, Martin Baunach, Christine Beemelmanns, J. Michael Beman, María Victoria Berlanga-Clavero, Alex A. Blacutt, Helge B. Bode, Anne Boullie, Asker BrejnrodTim S. Bugni, Alexandra Calteau, Liu Cao, Víctor J. Carrión, Raquel Castelo-Branco, Shaurya Chanana, Alexander B. Chase, Marc G. Chevrette, Leticia V. Costa-Lotufo, Jason M. Crawford, Cameron R. Currie, Bart Cuypers, Tam Dang, Tristan de Rond, Alyssa M. Demko, Elke Dittmann, Chao Du, Christopher Drozd, Jean-Claude Dujardin, Rachel J. Dutton, Anna Edlund, David P. Fewer, Neha Garg, Julia M. Gauglitz, Emily C. Gentry, Lena Gerwick, Evgenia Glukhov, Harald Gross, Muriel Gugger, 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 C. O’Neill, Elizabeth I. Parkinson, Daniel Petras, Jörn Piel, Emily C. Pierce, Karine Pires, Raphael Reher, Diego Romero, M. Caroline Roper, Michael Rust, Hamada Saad, Carmen Saenz, Laura M. Sanchez, 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, Marnix H. Medema, Justin J. J. van der Hooft

Research output: Contribution to journal/periodicalArticleScientificpeer-review

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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.
Original languageEnglish
Pages (from-to)363-368
Number of pages6
JournalNature Chemical Biology
Volume17
Issue number4
DOIs
Publication statusPublished - 15 Feb 2021

Keywords

  • international
  • Plan_S-Compliant-OA

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