Computational Methods for Modeling and Analyzing Epigenomic Data - CGSI 2023

Explore computational methods for modeling and analyzing epigenomic data in this 43-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into cutting-edge techniques for systematic annotation of the human genome, large-scale imputation of epigenomic datasets, and chromatin-state discovery using tools like ChromHMM. Learn about approaches for genome-wide scoring of human-mouse conservation at the functional genomics level and universal annotation of the human genome through integration of over a thousand epigenomic datasets. Gain insights from related research papers that cover topics such as characterizing chromatin states, imputing epigenomic data for diverse human tissues, and developing computational methods for analyzing complex genomic and epigenomic data.

Jason Ernst | Computational Methods for Modeling and Analyzing Epigenomic Data | CGSI 2023