Speaker
Summary (2-4 sentences)<br>Just a few informal sentences describing what you want to present.<br>No need to spend a lot of time on this! You can change it later.
Recent rapid imaging processing techniques have been accelerating data analysis across scientific fields, including cryo-EM imaging in structural biology. Fast Cryo-EM data generation rate and heavy computational tasks in CryoEM work pipelines constraint efficient Cryo-EM data interpretation. Nowadays, a variety of infrastructures that rely on supercomputer clusters have been introduced to many scientific disciplinaries, including astronomy, geography, artificial intelligence, genetics, and structural biology, etc., which benefits researchers to retrieve desired outputs efficiently by taking advantage of large computational resources. To facilitate Cryo-EM data analysis, hereby, I established a working pipeline on the high-throughout compute (HTC) platform at the Center for High-Throughput Computing (CHTC) of University of Wisconsin-Madison to identify a high-resolution structure of RNA virus genome replication machinery by using Cryo-sub-tomogram averaging method.
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Monday
