Statistical Genetics Lab
Research Interest
The lab headed by Dr. Yongtao Guan is a computational lab with primary research interests in developing statistical and computational methods to address problems arising from genetics and genomics. Some of the current projects include:
- Statistical models that approximate coalescent processes with recombination
- Detect epistatic interactions using directed acyclic graphs
- Bayesian Markov chain Monte Carlo sampling phylogenetic trees and directed acyclic graphs
Dr. Guan has developed a software package, BIMBAM, for genome-wide geotype-phenotype association. He has just released a new software, piMASS, for genome-wide multi-SNP analysis. See more information at software page.
Dr. Guan is also collaborating with others on more applied projects such as:
- Analyzing microarray expression data related to lactation
- Jointly analyzing correlated phenotypes in genome-wide association studies
Currently, the lab is just Dr. Guan and his silicons. If you are a graduate student with interests in statistical genetics, you are encouraged to send Yongtao Guan, Ph.D an e-mail to discuss potential projects.