GillesPy: A Python Package for Stochastic Model Building and Simulation

John H. Abel;Brian Drawert;Andreas Hellander;Linda R. Petzold
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引用次数: 41

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. 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.

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GillesPy:一个用于随机模型构建和仿真的Python包
GillesPy是一个开源Python包,用于随机生化系统的模型构建和模拟。GillesPy由一个用于模型构建的Python框架和一个基于Gillespie随机模拟算法的StochKit2高效模拟算法套件的接口组成。为了实现直观的模型构建和与科学Python堆栈的无缝集成,我们提供了一个易于理解的面向操作的编程接口。在这里,我们描述了这个包的组成部分,并提供了一个与计算生物学社区相关的详细示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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