Research

computational genomics

As a result of new technologies, genetics research has become a data-rich discipline with enormous complex datasets. Our teams are developing algorithms, data formats, and software to interrogate these datasets and integrate genome, phenotype, and health record data to understand the relationship between genotype and phenotype and predict disease risk.


Lynn B. Jorde

Lynn B. Jorde

Ph.D.

Research: Disease-gene identification; Population genetics

lbj@​genetics.utah.edu
Ellen Leffler

Ellen Leffler

Ph.D.

Research: Human and non-human primate evolutionary genomics; Infectious disease.

leffler@​genetics.utah.edu
Gabor Marth

Gabor Marth

D.Sc.

Research: DNA sequence variations; Computational algorithms; Comprehensive web tool system

gmarth@​genetics.utah.edu
Aaron Quinlan

Aaron Quinlan

Ph.D.

Research: Human genome interpretation; Application of genomics to clinical care; Chromosome stability and somatic genome evolution; Algorithm and genomics software development; Cancer genetics; Nucleotide repeat disorders; Population genomics; Genetics of complex cisease

aquinlan@​genetics.utah.edu
Mark Yandell

Mark Yandell

Ph.D.

Research: Computational biology; Human population genetics; Image processing; Computer-assisted bioinformatics; Comparative genomics

myandell@​genetics.utah.edu