Computational Methods for Improved Inference of Tumor Evolution

Explore computational approaches for understanding tumor evolution through this 32-minute conference talk from the Computational Genomics Summer Institute. Learn about advanced methods for inferring how tumors develop and change over time, including phylogenetic approaches to resolving tumor evolution and techniques for tumor subclonal reconstruction. Discover distance measures for analyzing tumor evolutionary trees and examine the effectiveness of simulation techniques in understanding tumor progression. Gain insights into the challenges and potential solutions in applying evolutionary theory to cancer research, with discussion of current computational tools and methodologies used to track and predict tumor development patterns.