Entry Date:
January 27, 2016

Computational Genetics for Model Organisms

Principal Investigator David Gifford


This project focuses on machine learning and statistical approaches to problems in genetics (model organism and human) and molecular biology. One application is a collaborative project investigating the genetic sources of phenotypic variability in yeast. This involves developing models of genetic complexity and designing and analyzing high-throughput sequencing experiments.