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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Meet A Faculty Member

  • Arthur S. Pearse Professor of Biology in Trinity College of Arts and Sciences

    We ask how the embryo works. Prior to morphogenesis the
    embryo specifies each cell through transcriptional regulation
    and signaling. Our research builds gene regulatory networks to
    understand how that early specification works. We then ask how
    this specification programs cells for their morphogenetic
    movements at gastrulation, and how the cells deploy patterning
    Current projects examine 1) novel signal transduction
    mechanisms that establish and maintain embryonic boundaries
    mold the embryo at gastrulation; 2) specification of primary
    mesenchyme cells in such a way that they are prepared to
    execute an epithelial-mesenchymal transition, and then study
    mechanistically the regulation of that transition; 3) the
    specification of endoderm necessary for invagination of the
    archenteron; 4) formation of the oral/aboral ectoderm and the
    means by which patterning information is distributed three
    dimensionally around the embryo. That information is necessary
    for patterning and inducing skeletogenesis.
    Other projects examine neural tube folding with the goal of
    identifying genes associated with neural tube defects. Finally, a
    large current effort in systems biology is being expended with
    the goal of enlarging our knowledge of early networks and how
    they interact.

Razvan Panea

2nd year CBB Student Sandeep Dave Lab