Computational Biology & Bioinformatics

PHD in Computational Biology & Bioinformatics

Program Principles & Goals

The PhD Program in Computational Biology & Bioinformatics (CBB) is an integrative, multi-disciplinary training program that encompasses the study of biology using computational and quantitative methods. In and out of the classroom, students learn to apply the tools of statistics, mathematics, computer science and informatics to biological problems. The vibrant and innovative Duke research in these fields provides exciting interactions between biological and computational scientists. Because the Program in Computational Biology and Bioinformatics is based in the Duke Center for Genomic and Computational Biology, it offers a unique opportunity for students to become one of tomorrow's leaders in the genome sciences.

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  • Associate Professor in Medicine

    Simon G. Gregory, PhD, is an Associate Professor in the Department of Medicine (Section of Medical Genetics) and the Director of Genomics at the newly formed Duke Molecular Physiology Institute. Dr. Gregory's research applies the experience he gained from leading the mapping of the mouse genome and the sequencing of human chromosome 1 for the Human Genome Project to elucidating the molecular mechanisms underlying multi-factorial diseases. His primary area of research involves the identification of the genetic, genomic, and epigenetic factors that give rise to the development of chronic complex disease. Dr. Gregory is Director of the Duke Epigenetics and Epigenomics Program and Director of the Duke Bioinformatics Workshop, a forum for researchers to gain in-depth experience using publicly available molecular genomics databases. 

    My principal area of research involves elucidating the molecular mechanisms underlying multi-factorial diseases. My lab is primarily interestied identifying the complex genetic factors that give rise to cardiovascular disease, multiple sclerosis and neural tube defects. I am also using targeted, epigenome-wide and next-generation sequencing approaches to identify epigenetic factors associated with the development of autism, cardiovascular disease and osteoarthritis. These projects aim to correlate differences in DNA methylation with clinical phenotype and differential levels of gene expression.

Ian McDowell

3rd year CBB Student Tim Reddy Lab
Feb 15
Geoffrey Ginsburg, M.D., Ph.D.
Director Applied Genomics & Precision Medicine Department of Medicine

Novel Genomic Paradigms for Early Detection of Acute and Chronic Disease

Feb 16
Jay Dunlap
Geisel School of Medicine at Dartmouth

Genetic and Molecular Dissection of a Simple Circadian System

Feb 17
Dave D'Alessio, MD, Duke University
Duke Department of Pharmacology and Cancer Biology

Is GLP-1 a hormone: Whether and when?