Computational Tools for the Analysis and Prediction of 3D Genome Structure

Abstract: Typically, an object's function is closely linked to its structure. These types of structure-function relationships extend beyond everyday objects into areas like cellular biology. Since cellular components like the genome cannot be seen by the naked eye, biological assays and computational tools must be used to help infer their 3D structure and associated function.

This presentation will highlight how computational techniques can be used to "see" the genome. Specifically, I will present three new tools we developed in this area and highlight their application in the model organism Fission Yeast. I will conclude with a discussion on how this structural information could be leveraged to better understand complex genomic functions.

 Biography: Kimberly MacKay is a PhD candidate in the Department of Computer Science (Bioinformatics Lab). Her PhD research is focused on developing new computational tools for the visualization, analysis and prediction of 3D genomic structure. She has a B.Sc. in biochemistry and a M.Sc. in computer science from the University of Saskatchewan. During her graduate career, Kim has been the recipient of numerous awards including the prestigious Vanier Canada Graduate Scholarship.

Wednesday March 18, 2020 at 3:30 PM in Thorvaldson 271

Doors Open at 3:00 PM