Program Results

Introduction to the event

Incomplete selection makes it challenging to infer selection on genes at the within-species level. In many cases, the selective force changes with environment, time, or other factors, and it is of great interest to understand selective forces at this level to answer relevant biological questions. We developed a new method to infer the dominating selective force based on sequence data across geographical scales. Because this method does not require allele frequency estimates and uses synonymous mutations for comparison, it is less prone to sampling error, providing a way to infer selection forces within species using publicly available genomic data from locations over broad geographical scales.

Talk about our new method at 2022 Multiomics and Precision Medicine Joint Conference