The Center for Computational Biology develops new and innovative methods of examining data in the biological sciences whose scale and complexity have historically resisted analysis.
CCB’s mission is to develop modeling tools and theory for understanding biological processes and to create computational frameworks that will enable the analysis of the large, complex data sets being generated by new experimental technologies.
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Research Highlights
Complex dynamics of long, flexible fibers in shear
John LaGrone, Ricardo Cortez, W. Yan, Lisa Fauci
Journal of Non-Newtonian Fluid Mechanics Fast crystallization of rotating membrane proteins
We examine the interactions between actively rotating proteins moving in a membrane. Experimental evidence suggests that such rotor proteins, like…
arXiv:1903.00940Computing collision stress in assemblies of active spherocylinders: applications of a fast and generic geometric method
W. Yan, Huan Zhang, M. Shelley
The Journal of Chemical Physics 