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用于MATLAB的系统生物学工具箱:一个用于系统生物学研究的计算平台。

Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology.

作者信息

Schmidt Henning, Jirstrand Mats

机构信息

Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Chalmers Science Park, SE-41288 Göteborg, Sweden.

出版信息

Bioinformatics. 2006 Feb 15;22(4):514-5. doi: 10.1093/bioinformatics/bti799. Epub 2005 Nov 29.

Abstract

We present a Systems Biology Toolbox for the widely used general purpose mathematical software MATLAB. The toolbox offers systems biologists an open and extensible environment, in which to explore ideas, prototype and share new algorithms, and build applications for the analysis and simulation of biological and biochemical systems. Additionally it is well suited for educational purposes. The toolbox supports the Systems Biology Markup Language (SBML) by providing an interface for import and export of SBML models. In this way the toolbox connects nicely to other SBML-enabled modelling packages. Models are represented in an internal model format and can be described either by entering ordinary differential equations or, more intuitively, by entering biochemical reaction equations. The toolbox contains a large number of analysis methods, such as deterministic and stochastic simulation, parameter estimation, network identification, parameter sensitivity analysis and bifurcation analysis.

摘要

我们为广泛使用的通用数学软件MATLAB提供了一个系统生物学工具箱。该工具箱为系统生物学家提供了一个开放且可扩展的环境,用于探索想法、对新算法进行原型设计和共享,并构建用于分析和模拟生物及生化系统的应用程序。此外,它非常适合用于教育目的。该工具箱通过提供用于导入和导出SBML模型的接口来支持系统生物学标记语言(SBML)。通过这种方式,该工具箱可以很好地与其他支持SBML的建模软件包连接。模型以内部模型格式表示,可以通过输入常微分方程来描述,或者更直观地,通过输入生化反应方程来描述。该工具箱包含大量分析方法,如确定性和随机模拟、参数估计、网络识别、参数敏感性分析和分岔分析。

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