| Literature DB >> 19996166 |
Emmet Caulfield1, Andreas Hellander.
Abstract
MOTIVATION: Gillespie's stochastic simulation algorithm (SSA) is often the most tractable method to study stochastic models of biochemical systems. The algorithm itself is very simple and a natural target for implementation on specialized architectures such as the Cell Broadband Engine (Cell/BE). We have developed CellMC, a multiplatform SBML model compiler implementing a vectorized version of SSA for use on Cell/BE or x86 PCs. AVAILABILITY: The code is freely available from http://www.cellmc.org. It will run on a wide variety of x86 computers running Linux/MacOSX (Darwin) and on Cell/BE computers such as the Sony PlayStation3 (PS3) and the IBM BladeCenter QS22. CellMC requires gcc, libxml2 and libxslt, all of which are installed by default on most of the supported platforms. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.Entities:
Mesh:
Year: 2009 PMID: 19996166 DOI: 10.1093/bioinformatics/btp662
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937