About the CCMB

The mission of the Center for Computational Molecular Biology (CCMB) is to make breakthrough discoveries in the life sciences through the development and application of novel computational, mathematical, and statistical techniques. Research in the Center aims to exploit the opportunities from technological advances in genomics and proteomics.

The specific areas of research being conducted by our Faculty can be viewed from their profile pages on the Faculty page.

Top Stories about the CCMB:

Algorithms find genetic cancer networks:

CCMB Ph.D. students Hsin-Ta Wu and Max Leiserson, working in Ben Raphael's group, use powerful algorithms to assemble the most complete genetic profile yet of acute myeloid leukemia, an aggressive form of blood cancer, in collaboration with researchers at Washington University in St., Louis and The Cancer Genome Atlas (TCGA). Findings are reported in the New England Journal of Medicine.
Full article here 

Translational Seed Award:

Sorin Istrail has received the inaugural Translational Seed Award from OVPR for the project “Development of New Computational and Point of Care Platforms for HIV Drug Resistance” in collaboration with Joe Hogan (Biostatistics), Rami Kantor (Medicine), and Anubhav Tripathi (Engineering).

Introduced this year by OVPR, Translational Seed Awards are intended to advance programs that have promising intellectual property and commercial potential.

The award will be presented at the Teaching Awards Ceremony on May 6, 4pm-6pm, in Pembroke 305.

Congratulations, Sorin!

When the cell's two genomes collide:

Animal cells contain two genomes: one in the nucleus and one in the mitochondria. When mutations occur in each, they can become incompatible, leading to disease. To increase understanding of such illnesses, scientists at Brown University and Indiana University have traced one example in fruit flies down to the individual errant nucleotides and the mechanism by which the flies become sick. Full text here.


We are actively recruiting new graduate students and Postdoctoral Fellows.

Information on the PhD Program in Computational Molecular Biology

Information on the IGERT Program in Reverse Ecology

Information on Postdoctoral Fellows & Research Staff