Event Description

19th International Conference on Metabolomics 2022 Zurich Switzerland

Conference Series LLC LTD invites all the participants from all over the world to attend the 19th International Conference on Metabolomics and Proteomics during August 03-04, 2022 Zurich, Switzerland, which includes prompt keynote presentations, Oral talks, Poster presentations, and Exhibitions.

 

Metabolomics 2022 is the premier event that brings together a unique and international mix of experts, researchers, and decision-makers both from academia and industry across the globe to exchange their knowledge, expertise, and research innovations to build a world-class plant genomics conference.

 

It’s our greatest pleasure to welcome you to the official website of ‘19th International Conference on Metabolomics and Proteomics which aims at bringing together the Professors, Researchers, scientists, Program developers to provide an international forum for the dissemination of original research results, new ideas, and practical development experiences which concentrate on both theory and practices.

End Date
Start Date
Event Speciality
Event Capacity
Zurich
Event Types (Select all that apply)
Medical Conference
Medical Seminar
Event Registration Contact Email
metabolomics2022con@gmail.com
Event Information Contact Email
metabolomics2022con@gmail.com
CME Credits
Yes
Abstract Submission Deadline
Abstract guidelines

19th International Conference on Metabolomics 2022 Zurich Switzerland

The theme of the conference is around, “Accelerating Innovations & Fostering Advances in Metabolomics and Proteomics”. Featuring 2 days of the scientific workshop, special sessions, speaker & poster session, Industrial Expo. 300+ attendees from all over the world. The event focuses on aspects such as System Biology, Clinical Metabolomics & Cancer Genomics, Metabolic Engineering and, Epigenetics, Plant Nutritional Genomics and Horticulture, Plant Science and Agricultural Sciences, Genome Sequencing and Plant Molecular Breeding, Plant Proteomics as well understanding tools to overcome the barrier and enable successful data analysis and management.

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