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Learn advanced computational methods for analyzing spatiotemporal biological data in this conference talk from the Computational Genomics Summer Institute 2024. Explore cutting-edge techniques for tracking cellular development across both spatial and temporal dimensions, including alignment of spatiotemporal transcriptomics data using DeST-OT methodology. Discover maximum likelihood approaches for inferring time-scaled cell lineage trees when dealing with mixed-type missing data, and understand phylogeographic inference methods for determining cell motility and division patterns from spatial lineage tracing experiments. Gain insights into the latest research developments in computational biology that enable scientists to reconstruct developmental processes by integrating spatial positioning with temporal dynamics, providing a comprehensive view of how cells move, divide, and differentiate during biological development.
