Genotype Representation Graph: Enabling Efficient Analysis of Biobank-Scale Data

Explore a groundbreaking conference talk on Genotype Representation Graphs and their role in enabling efficient analysis of biobank-scale data. Delve into the innovative approach presented by Xinzhu (April) Wei at the Computational Genomics Summer Institute (CGSI) 2024. Learn how this novel method addresses the challenges of analyzing large-scale genomic datasets, with potential applications in population genetics and biomedical research. Gain insights into the underlying concepts, methodologies, and implications of Genotype Representation Graphs for advancing our understanding of genetic variation and its impact on human health. Discover how this approach relates to recent developments in coalescence time estimation and whole-genome history inference in large population datasets.

Xinzhu (April) Wei | Genotype Representation Graph: Enabling Efficient Analysis of ... | CGSI 2024