As genomic data sizes have grown exponentially over the past decade, efficient statistical analysis has become a key challenge in quantitative genetics. I will describe three ongoing research thrusts in the fields of mixed model analysis, haplotype phasing and imputation, and mosaic CNV detection, each taking place at the intersection of statistics, computer science, and genetics.
Fast statistical methods for big data genetics
Wednesday, March 15, 2017 - 4:00pm
Carl Icahn Lab 101
Lewis-Sigler Institute for Integrative Genomics