PBWT-based Algorithms for Large Cohort Genetics - CGSI 2024

Explore the cutting-edge applications of Positional Burrows-Wheeler Transform (PBWT) algorithms in large-scale genetic cohort analysis through this informative conference talk. Delve into the groundbreaking research presented by Shaojie Zhang at the Computational Genomics Summer Institute (CGSI) 2024. Gain insights into efficient haplotype matching, storage techniques, and advanced algorithms for genealogical searches and identical-by-descent (IBD) segment detection in biobank-scale cohorts. Discover innovations such as the dynamic PBWT, Syllable-PBWT for space-efficient haplotype long-match queries, and the concept of minimal positional substring cover as an alternative to the Li and Stephens model. Examine six related research papers that form the foundation of this talk, providing a comprehensive understanding of PBWT-based methodologies and their impact on computational genetics.

Shaojie Zhang | PBWT based Algorithms for Large Cohort Genetics | CGSI 2024