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MITE: the Minimum Information about a Tailoring Enzyme database for capturing specialized metabolite biosynthesis
Adriano Rutz, Daniel Probst, César Aguilar, Daniel Y Akiyama, Fabrizio Alberti, Hannah E Augustijn, Nicole E Avalon, Christine Beemelmanns, Hellen Bertoletti Barbieri, Friederike Biermann, Alan J Bridge, Esteban Charria Girón, Russell Cox, Max Crüsemann, Paul M D’Agostino, Marc Feuermann, Jennifer Gerke, Karina Gutiérrez García, Jonathan E Holme, Ji-Yeon Hwang
*Corresponding author for this work
- Swiss Federal Institute of Technology in Zurich (ETH Zürich)
- Wageningen University & Research (WUR)
- Monterrey Institute of Technology and Higher Education
- Universidade Estadual de Campinas
- University of Warwick
- Leiden University
- University of California, San Diego
- Saarland University
- Helmholtz Centre for Infection Research (HZI)
- Goethe University Frankfurt
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG)
- SIB Swiss Institute of Bioinformatics
- Leibniz University Hannover
- University of Bonn
- Carnegie Institution for Science
- University of Arizona
- SINTEF AS
- National Cancer Institute (NCI)
- National Agri-Food and Biomanufacturing Institute (NABI)
- Leibniz Institute for Natural Product Research and Infection Biology Hans Knöll Institute (Leibniz HKI)
- University of Tübingen
- Korea Advanced Institute of Science and Technology (KAIST)
- Regional Centre for Biotechnology (RCB)
- University of Zurich
- University of Groningen
- University of Basel
- Technical University of Denmark (DTU)
- Southern University of Science and Technology (SUSTech)
- University of Johannesburg
Research output: Contribution to journal › Article › Scientific › peer-review