SUDS Project:

Estimating selection on gene expression

Research description:

Variation in gene expression underpins variation in organismal traits and diversity. Therefore, understanding how gene expression evolves will allow us to better understand the mechanisms of evolutionary change. The strength and form of selection on gene expression and its role in evolution is difficult to estimate, however, because of the high dimensional and highly correlated nature of gene expression data. In this project the SUDS scholar will estimate selection on gene expression traits and compare the results from different methods that are commonly used to study selection on gene expression.

 

Year: 2025

Researcher:
Jacqueline Sztepanacz, Department of Ecology and Evolutionary Biology, Faculty of Arts and Science, University of Toronto

Students: 
Mikaeel Abbas, University of Toronto
Mohammed Khaled Shafeey, King Abdullah University of Science & Technology

Through SUDS, undergraduate students engage in hands-on research focused on data sciences and AI methodology applications.