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SUMMARY:Data-driven Engineering of Microbes for Sustainable Bioproduction
DTSTART:20231207T103000
DTEND:20231207T113000
DTSTAMP:20260415T011129Z
UID:7448f8f74bf5545913414e948e948bbd9314dc42a3480c05461f309a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Markus Jeschek\, University of Regensburg\, Germany\nAbstr
 act\n\nRational design of biosystems requires a profound knowledge about h
 ow changes in their genetic sequence affect their biological functions. Du
 e to the complexity of biosystems\, however\, this relationship is still o
 nly vaguely understood. Our research aims at overcoming this limitation an
 d enable straightforward engineering of microbes for sustainable bioproduc
 tion. We develop high-throughput methods enabling the recording of both se
 quence and function of genetic parts (regulatory elements\, biosensors\, e
 nzymes etc.) at unprecedented scales. Further\, we mine the resulting “b
 ig” sequence-function data by extracting valuable engineering guidelines
  and through building of predictive models for in silico design of sequenc
 es with tailored functions.
LOCATION:CH G1 495 https://plan.epfl.ch/?room==CH%20G1%20495 https://epfl.
 zoom.us/j/61629043514
STATUS:CONFIRMED
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