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Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Computomics
73 episodes
3 days ago
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
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Nature
Science
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All content for Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions is the property of Computomics and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
Show more...
Nature
Science
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Genetic Engineering, Metabolism, and the Future of Sustainable Agriculture
Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
22 minutes 30 seconds
9 months ago
Genetic Engineering, Metabolism, and the Future of Sustainable Agriculture

Our guest in this episode of the Computomics Podcast is Alain Tissier, Managing Director at the Leibniz Institute of Plant Biochemistry. He discusses his research focusing on the molecular mechanisms in plants, particularly the interaction between primary and secondary metabolism and how plants produce chemical compounds for defense and communication. Alain talks about on his work in metabolic engineering and genome editing, particularly using a novel CRISPR-based technology to introduce specific genetic changes in plants. Hear about the INNO-TOM project which uses pangenomes to breed disease-resistant and nutrient-enriched tomatoes.

Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?