general	prion	malaria
data mining	evolution	genomics	structure

COMPUTATIONAL GENOMICS

The completion of numerous genomic sequencing projects, in addition to those that are currently ongoing, has created an almost overwhelming amount of genomic data available for inspection. This data, however, is only of minimal use without rational and well-designed approaches to investigate it for true biological importance. In the area of computational genomics, our lab strives to utilize computation not only to derive insight from the mass of genomic data but also to render testable experimental hypothesis to be carried out either in our lab or in those of our collaborators. Current work includes such projects as computationally predicting protein localization in the malaria parasite, correlating and connecting malarial metabolic pathways to genome array data, and examining the yeast SH3 signaling mechanism through computational means.

Our Malaria research.

Collaborators:

DeRisi Lab

Lim Lab

References:

Joachimiak M.P., Chang C., Rosenthal P.J., and Cohen, F.E. (2001) The impact of whole genome sequence data on drug discovery - a malaria case study. Molecular Medicine 10:698-710. PDF