Our laboratory conducts bioinformatic and experimental research in the field of Network and Systems Biology. Click on the below links for more detailed information about each project.

BIOINFORMATICS. Our bioinformatics research is directed towards what we believe will be critical approaches for using biological network models in medicine and genetics.

• Methods for assembling genome-scale data (molecular interactions and profiles) into models of signaling and regulatory pathways.
• Methods for using network models of cells to diagnose disease and interpret personalized genetic information (network-based biomarkers).
• Methods for comparison of networks across different species, network types, biological conditions, or points in time.
• In addition, we are strong supporters of several community software projects, including the Cytoscape platform. We also are interested in Error Analysis and Modeling of DNA MIcroarrays.

GENOME-SCALE BIOLOGY. Experimentally, the lab is applying the above network modeling technologies to understand a variety of basic cell processes and diseases.

• Genome-scale approaches to understand how cells respond to DNA damage.
• Mapping protein networks in pathogenesis of disease (HIV, NeuroAIDS, Malaria, Herpes, others)
• Galactose Utilization as a Model System