Event
【GIR Open Seminar】Dr. Yasuo Yoshikuni / Lawrence Berkeley National Laboratory (U.S.A.)
| Date | 2022.12.23 (16：30 - 17：30) |
|---|---|
| Venue |
Lecture Room L1321, 2nd Fl., Building 13, Koganei Campus, TUAT Meeting ID:899 9631 0993 Passcode:249246 |
| Google Classroom Code | yi2wso5 |
| Speaker | Dr. Yasuo Yoshikuni |
| Affiliation | Lawrence Berkeley National Laboratory (U.S.A.) |
| Title | "Opportunities for Facility-Enabled Science at the DOE Joint Genome Institute (JGI)" ＜Abstract＞ Fundamental unsolved problem in genomics is the need for high-throughput approaches to bridge the gap between the availability of DNA sequence data and our ability to assign biological function to it. The DOE JGI’s niche is the development of a diversity of large- scale experimental and computational capabilities to link sequences to biological insights relevant to energy and environmental research. This will range from preparing material and applying functional capabilities prior to genomic analysis to post-sequence processing and manipulations to enable the Institute’s users to carry out sequence-to-function studies that are beyond the capabilities of individual laboratories. Here, I will discuss new sequence-to-function capabilities that have been established at the DOE JGI and some scientific examples enabled with these capabilities. These examples include development of genome engineering tools for non-model bacteria, function characterization of secondary metabolite biosynthetic gene clusters, and machine learning-guided engineering of non-model yeast chassis for fuel and chemical production. |
| Language | English |
| Intended for | Everyone is welcome to join. |
| Co-Organized by | Institute of Global Innovation Research, “ENERGY" Tanaka Unit Excellent Leader Development for Super Smart Society by New Industry Creation and Diversity |
| Contact | Institute of Global Innovation Research, Institute of Engineering Prof. Atsushi Arakaki Email: arakakia (at) cc.tuat.ac.jp |
| Remarks | This seminar will be held both face-to-face and online concurrently. |
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