Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms |
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| Authors: | Scott Christley Briana Lee Xing Dai Qing Nie |
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| Affiliation: | (1) Department of Mathematics, University of California, 92697 Irvine, CA, USA;(2) Department of Biological Chemistry, University of California, 92697 Irvine, CA, USA;(3) Center for Mathematical and Computational Biology, University of California, 92697 Irvine, CA, USA;(4) Center for Complex Biological Systems, University of California, 92697 Irvine, CA, USA |
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| Abstract: | Background Simulation of sophisticated biological models requires considerable computational power. These models typically integrate together numerous biological phenomena such as spatially-explicit heterogeneous cells, cell-cell interactions, cell-environment interactions and intracellular gene networks. The recent advent of programming for graphical processing units (GPU) opens up the possibility of developing more integrative, detailed and predictive biological models while at the same time decreasing the computational cost to simulate those models. |
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