Department of Information Technology, Uppsala University, Box 337, SE-751 05, Uppsala, Sweden.
Bioinformatics. 2010 Feb 1;26(3):426-8. doi: 10.1093/bioinformatics/btp662. Epub 2009 Dec 8.
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.
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 data are available at Bioinformatics online.
吉莱斯皮的随机模拟算法（SSA）通常是研究生化系统随机模型最可行的方法。该算法本身非常简单，是专门架构（如 Cell Broadband Engine（Cell/BE））上实现的自然目标。我们开发了 CellMC，这是一个多平台的 SBML 模型编译器，实现了 SSA 的矢量化版本，可用于 Cell/BE 或 x86 PC。
代码可从 http://www.cellmc.org 免费获得。它将在运行 Linux/MacOSX（Darwin）的各种 x86 计算机以及 Cell/BE 计算机（如索尼 PlayStation3（PS3）和 IBM BladeCenter QS22）上运行。CellMC 需要 gcc、libxml2 和 libxslt，大多数支持的平台默认都安装了这些软件。
补充数据可在 Bioinformatics 在线获得。
