Connecting genotype and phenotype: three case studies

Bjorn Sandstede
Department of Mathematics
Brown University

I will talk about three projects that try to link genotype and phenotype using techniques from data science. First, I will describe algorithms that allow us to quantify wild-type and mutant pigment patterns on zebrafish using topological data analysis. The goal of the second project is the identification of groups of phenotypes with shared genetic architecture from gene-level association statistics for a population of 350,000 individuals of European ancestry. The third project aims at aligning single-cell multi-omics data, such as gene expression, chromatin accessibility, and DNA methylation, using a reliable, fast, and scalable approach based on optimal transport.