Dr. Kent focuses on development and implementation of computational tools for the analysis of complex genomic data. He is interested in applying these tools to help understand the causes of diverse, complex phenotypes. This includes scientific collaborations with investigators at Texas Biomed and in other institutions on the integration of multiple levels of genomic, transcriptomic, and epigenetic data.
Dr. Kent has 20 years of expertise in quantitative genetics.
Inside The Lab
Much of our current work focuses on methods for integrating multiple levels of data reflecting gene action (genomic, epigenetic, transcriptomic, proteomic, and metabolomic) as well as gene by environment interaction. A goal is to extend Texas Biomed’s traditional expertise in genetic analysis of pedigreed individuals to consideration of genomic similarity at functionally-defined regions in a variety of study designs for human and non-human model organisms.
In addition to collaborative projects, my own funded research focuses on identification of early biomarkers of diabetic kidney disease.
Main Technologies And Methods Used
- Parallel processing capacity of the AT&T Genomics Computing Center
- Variance components analysis (SOLAR, kinship2)
- Pedigree data management in PEDSYS (for more information please contact gro.d1547834336emoib1547834336xt@tr1547834336oppus1547834336sysde1547834336p1547834336)
- Development of pipelines (e.g, Galaxy) for alignment and annotation of sequence data