Biocellion: accelerating computer simulation of multicellular biological system models

S. Kang, S. Kahan, J. McDermott, N. Flann, I. Shmulevich
2014 Bioinformatics  
Motivation: 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 agentbased modeling (in combination with high-resolution grids to model the extracellular environment) is a popular approach for building biological system models. However, the
more » ... putational complexity of this approach forces computational biologists to resort to coarser resolution approaches to simulate large biological systems. Highperformance parallel computers have the potential to address the computing challenge, but writing efficient software for parallel computers is difficult and time-consuming. Results: We have developed Biocellion, a high-performance software framework, to solve this computing challenge using parallel computers. To support a wide range of multicellular biological system models, Biocellion asks users to provide their model specifics by filling the function body of pre-defined model routines. Using Biocellion, modelers without parallel computing expertise can efficiently exploit parallel computers with less effort than writing sequential programs from scratch. We simulate cell sorting, microbial patterning and a bacterial system in soil aggregate as case studies. Availability and implementation: Biocellion runs on x86 compatible systems with the 64 bit Linux operating system and is freely available for academic use. Visit for additional information.
doi:10.1093/bioinformatics/btu498 pmid:25064572 pmcid:PMC4609016 fatcat:j4zdhyz7vfcqzn6az6h3zayfse