Predicting Genetic Variants that Alter 3D Genome Folding in Cancer and Developmental Disorders

Join the NIH and Dr. Katie Pollard for a compelling talk on the evolving role of computational science in biomedical research. Traditionally applied after experiments for data analysis and hypothesis testing, computational methods are now shifting upstream, guiding discovery through predictive modeling. Dr. Pollard will showcase how her team uses deep learning models of 3D chromatin interactions, driven solely by DNA sequence, to interpret disease-associated genetic variants.

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