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Learn about cutting-edge computational methods for combining phylogenetic trees into network structures through dimensionality reduction techniques in this 42-minute conference talk. Explore fast algorithms that address the computational challenges of fusing multiple phylogenetic trees, which represent evolutionary relationships, into comprehensive phylogenetic networks that can capture more complex evolutionary scenarios including horizontal gene transfer and hybridization events. Discover how dimensionality reduction approaches can significantly improve the efficiency of these fusion processes, making it feasible to work with larger datasets and more complex evolutionary histories. Gain insights into the mathematical foundations underlying these algorithms and their practical applications in evolutionary biology, genomics, and phylogenetic analysis.
Syllabus
Louxin Zhang: Fast Algorithms for Fusing Phylogenetic Trees into Networks via... #ICBS2025
Taught by
BIMSA