Inference of Copy Number Aberrations Using Bulk and Single Cell Sequencing Data

Learn to infer copy number aberrations from both bulk and single-cell sequencing data in this 31-minute conference talk from the Computational Genomics Summer Institute. Explore advanced computational methods for detecting genomic alterations that play crucial roles in cancer development and progression. Discover how to analyze allele-specific copy number changes and reconstruct tumor phylogeography using spatially resolved transcriptomics data. Examine techniques for clone and haplotype-specific copy number inference from bulk tumor sequencing, including the STARCH method for spatial transcriptomics and the HATCHet2 approach for comprehensive genomic analysis. Gain insights into cutting-edge research methodologies that combine spatial information with genomic data to better understand tumor evolution and heterogeneity at both tissue and cellular levels.