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Biocellion: accelerating computer simulation of multicellular biological system models.

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      Biological system behaviors are often the outcome of complex interactions among a large number of cells and their biotic and abiotic environment. Computational biologists attempt to understand, predict and manipulate biological system behavior through mathematical modeling and computer simulation. Discrete agent-based modeling (in combination with high-resolution grids to model the extracellular environment) is a popular approach for building biological system models. However, the computational complexity of this approach forces computational biologists to resort to coarser resolution approaches to simulate large biological systems. High-performance parallel computers have the potential to address the computing challenge, but writing efficient software for parallel computers is difficult and time-consuming.

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      Author and article information

      [1 ] Computational Biology and Bioinformatics Group, High-performance Computing Group, Pacific Northwest National Laboratory, Richland, WA 99354, USA, Department of Computer Science, Utah State University, Logan, UT 84322, USA and Institute for Systems Biology, Seattle, WA 98109, USA.
      Bioinformatics (Oxford, England)
      Nov 1 2014
      : 30
      : 21
      btu498 10.1093/bioinformatics/btu498 25064572 4609016
      © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail:


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