GillesPy：一个用于随机模型构建与模拟的Python软件包。
GillesPy: A Python Package for Stochastic Model Building and Simulation.
作者信息
Abel John H, Drawert Brian, Hellander Andreas, Petzold Linda R
机构信息
Department of Systems Biology, Harvard Medical School, Boston, MA 02115 USA and the Department of Chemical Engineering, University of California, Santa Barbara, CA 93106 USA.
Department of Computer Science, University of California, Santa Barbara, CA 93106 USA.
出版信息
IEEE Life Sci Lett. 2016 Sep;2(3):35-38. doi: 10.1109/LLS.2017.2652448.
Abstract
GillesPy is an open-source Python package for model construction and simulation of stochastic biochemical systems. GillesPy consists of a Python framework for model building and an interface to the StochKit2 suite of efficient simulation algorithms based on the Gillespie stochastic simulation algorithms (SSA). To enable intuitive model construction and seamless integration into the scientific Python stack, we present an easy to understand, action-oriented programming interface. Here, we describe the components of this package and provide a detailed example relevant to the computational biology community.
摘要
GillesPy是一个用于随机生化系统建模和模拟的开源Python软件包。GillesPy由一个用于模型构建的Python框架和一个基于吉莱斯皮随机模拟算法（SSA）的高效模拟算法套件StochKit2的接口组成。为了实现直观的模型构建并无缝集成到科学Python堆栈中，我们提供了一个易于理解的、面向操作的编程接口。在这里，我们描述了这个软件包的组件，并提供了一个与计算生物学界相关的详细示例。
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