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Topic
IMA Data Science Seminar - Roy Lederman
Description
Speaker: Roy Lederman
Title: The Geometry of Molecular Conformations in Cryo-EM
Abstract: Cryo-Electron Microscopy (cryo-EM) is an imaging technology that is revolutionizing structural biology. Cryo-electron microscopes produce many very noisy two-dimensional projection images of individual frozen molecules; unlike related methods, such as computed tomography (CT), the viewing direction of each particle image is unknown. The unknown directions and extreme noise make the determination of the structure of molecules challenging. While other methods for structure determination, such as x-ray crystallography and NMR, measure ensembles of molecules, cryo-electron microscopes produce images of individual particles. Therefore, cryo-EM could potentially be used to study mixtures of conformations of molecules. We will discuss a range of recent methods for analyzing the geometry of molecular conformations using cryo-EM data and some new issues that arise.
Time
Feb 14, 2023 01:25 PM in
Central Time (US and Canada)
Webinar is over, you cannot register now. If you have any questions, please contact Webinar host:
Georgia M Kroll
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Hi there, You are invited to a Zoom webinar. When: Feb 14, 2023 01:25 PM Central Time (US and Canada) Topic: IMA Data Science Seminar - Roy Lederman Register in advance for this webinar: https://umn.zoom.us/webinar/register/WN_xzJmaUXGSIOXn1-p4K1kgw Or an H.323/SIP room system: H.323: 162.255.37.11 (US West) 162.255.36.11 (US East) 221.122.88.195 (China) 115.114.131.7 (India Mumbai) 115.114.115.7 (India Hyderabad) 213.19.144.110 (Amsterdam Netherlands) 213.244.140.110 (Germany) 103.122.166.55 (Australia Sydney) 103.122.167.55 (Australia Melbourne) 209.9.211.110 (Hong Kong SAR) 149.137.40.110 (Singapore) 64.211.144.160 (Brazil) 69.174.57.160 (Canada Toronto) 65.39.152.160 (Canada Vancouver) 207.226.132.110 (Japan Tokyo) 149.137.24.110 (Japan Osaka) Meeting ID: 970 0367 3328 SIP: 97003673328@zoomcrc.com After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Roy Lederman (Assistant Professor @Yale University) Roy is an Assistant Professor at the Department of Statistics and Data Science and a member of the Quantitative Biology Institute, the Wu Tsai Institute for human cognition, and the Institute for Foundations of Data Science at Yale University. He has a BSc in physics and a BSc in electrical engineering from Tel Aviv University and a PhD in Applied Mathematics from Yale University. He was previously a Gibbs Assistant Professor at Yale and a postdoc at Princeton University. Roy is interested in mathematical modeling, applied harmonic analysis, numerical analysis, and statistical inference. Much of his work is motivated by applications in cryo-electron microscopy.
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