SBME Research Seminar: The RNA folding problem remains open – Dr. Rhiju Das
The discovery and design of biologically important RNA molecules has lagged behind proteins, in part due to the general difficulty of three-dimensional RNA structural characterization. What are the prospects for an ‘AlphaFold moment’ for RNA? I’ll describe some recent progress in modeling RNA structure from old-fashioned and new machine learning, cryoelectron microscopy, and current and upcoming internet-scale competitions hosted on the Eterna, Kaggle, and CASP platforms.
SBME Research Seminar: The RNA folding problem remains open – Dr. Rhiju Das
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SBME Seminar: Statistical genetics elucidates disease biology, drug discovery, and personalized medicine – Dr. Yukinori Okada
May 6, 2024 @ 11:00 am - 12:00 pm PDT
SBME Seminar: Statistical genetics elucidates disease biology, drug discovery, and personalized medicine – Dr. Yukinori Okada
Seminar Abstract:
Statistical genetics is a research field that evaluates causality of human genetic variations on disease. Human omics technologies project biological mechanisms and disease pathophysiology into multi-layered matrix information with diverse resolutions. Anchored by genotype-phenotype associations highlighted by genome-wide association studies (GWAS), statistical genetics integrates omics matrix as molecular quantitative trait locus (mQTL) catalogues. Multi-layered mQTLs synergistically answered variant functional annotations, connecting disease genetics with clinical phenotypes. We have developed methodology to integrate large-scale human genome data with such molecular resources. Our results empirically show the value of statistical genetics to dissect disease biology, novel drug discovery, and personalized medicine. Finally, we would like to introduce our activity on young researcher developments (“Summer school of statistical genetics”).
Dr. Yukinori Okada’s Biography
Yukinori Okada received the M.D. and PhD from the University of Tokyo. His research theme is the elucidation of mechanism where genetic variants affect biological and clinical phenotype. He has multiple professional backgrounds as a physician, statistician, and bioinformatician. Prof. Okada has conducted large-scale genomics studies of a variety of human complex traits. His interests are now moving towards statistical genetics and bioinformatics analysis generated by the latest omics technologies, such as single cell sequencing and microbiome metagenomics, and its application to novel drug discovery and personalized medicine.
Location:
LSC 1003 (LT3)