CoSy seminar: "Topological Data Analysis of Functional Genome to Find Covariation Signatures"

Everyone is welcome and the first 40 people to register will be treated to a free lunch sandwich. If you do not want lunch, you are still welcome to join.

Register for a lunch sandwich (before Sunday 26 October).

Abstract: Understanding the role of mutations as contributing factors to disease is important. One approach to find positions likely to cause or contribute to disease is through the use of several layers of data, such as sequence variation across individuals, epigenetic marks or expression. The underlying hypothesis is that the less a position vary across individuals, the more likely it will cause or contribute to a disease/pathology when changed. In our recent work, we take on the challenge of predicting pathogenicity of genomic variants by cross-correlating genomic and epigenomic profiles of interacting functional units of the genome using topological data analysis. Using sequence and functional datasets, we will produce constraints for co-occurrence or divergence of variance patterns in functional units, such as genes, promoters or enhancers. We applied Topological Data Analysis (TDA) to find and study the relative geometry of genomic topologies to discover genomic locations that function together during neural differentiation. Our goal is to go beyond linear analyses of the genome data by exploiting the genome folding constraints for coordinated regulation of genes and its impact in disease onset and progress.

This is a lecture in the seminar series held by CIM (Centre for Interdisciplinary Mathematics).