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
Computing 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 From cytoskeletal assemblies to living materials
P. Foster, S. Fürthauer, M. Shelley, D. Needleman
Many subcellular structures contain large numbers of cytoskeletal filaments. Such assemblies underlie much of cell division, motility, signaling, metabolism, and…
Current Opinion in Cell BiologyCoarse-graining the dynamics of immersed and driven fiber assemblies
An important class of fluid-structure problems involve the dynamics of ordered arrays of immersed, flexible fibers. While specialized numerical methods…
arXiv:1902.00049