Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices

Saleh Alseekh, Asaph Aharoni, Yariv Brotman, Kévin Contrepois, John C. D’Auria, Jan Ewald, Jennifer C. Ewald, Paul D. Fraser, Patrick Giavalisco, Robert D. Hall, Matthias Heinemann, Hannes Link, Jie Luo, Steffen Neumann, Jens Nielsen, Leonardo Perez de Souza, Kazuki Saito, Uwe Sauer, Frank C. Schroeder, Stefan Schuster, Gary Siuzdak, Aleksandra Skirycz, Lloyd W. Sumner, M Snyder, Huiru Tang, Takayuki Tohge, Yulan Wang, Weiwei Wen, Si Wu, Guowang Xu, Nicola Zamboni, Alisdair R. Fernie

Nature Methods, 2021

Center of Plant Systems Biology and Biotechnology, Max Planck Institute of Molecular Plant Physiology, Weizmann Institute of Science, Ben-Gurion University of the Negev, Stanford University, Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK), Friedrich Schiller University Jena, University of Tübingen, Royal Holloway University of London, Max Planck Institute for Biology of Ageing, Wageningen University & Research, University of Groningen, Max Planck Institute for Terrestrial Microbiology, Hainan University, Leibniz Institute of Plant Biochemistry, BioInnovation Institute, Chalmers University of Technology, Chiba University, RIKEN Center for Sustainable Resource Science, ETH Zurich, Cornell University, Scripps Research Institute, University of Missouri, Fudan University, Zhongshan Hospital, State Key Laboratory of Genetic Engineering, Nara Institute of Science and Technology, Nanyang Technological University, Huazhong Agricultural University, Dalian Institute of Chemical Physics, Chinese Academy of Sciences

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Abstract

This research paper explore the methodology and findings associated with Nature Methods. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).

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Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices

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