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One Modelling Formalism Simulator Is Not Enough! A Perspective for Computational Biology Based onJames II

机译:一个建模形式主义和模拟器还不够!基于詹姆斯二世的计算生物学视角

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Diverse modelling formalisms are applied in Computational Biology. Some describe the biological system in a continuous manner, others focus on discrete-event systems, or on a combination of continuous and discrete descriptions. Similarly, there are many simulators that support different formalisms and execution types (e.g. sequential, parallel-distributed) of one and the same model. The latter is often done to increase efficiency, sometimes at the cost of accuracy and level of detail. James II has been developed to support different modelling formalisms and different simulators and their combinations. It is based on a plug-in concept which enables developers to integrate spatial and non-spatial modelling formalisms (e.g. stochastic π calculus, Beta binders, Devs, SPACE-π), simulation algorithms (e.g. variants of Gillespie's algorithms (including Tau Leaping and Next Subvolume Method), space-π simulator, parallel Beta binders simulator) and supporting technologies (e.g. partitioning algorithms, data collection mechanisms, data structures, random number generators) into an existing framework. This eases method development and result evaluation in applied modelling and simulation as well as in modelling and simulation research.
机译:多样的建模形式主义被应用在计算生物学中。一些以连续的方式描述生物系统,另一些集中在离散事件系统,或连续和离散描述的组合上。类似地,有许多模拟器支持一个模型和同一模型的不同形式和执行类型(例如顺序,并行分布)。后者通常是为了提高效率而做的,有时是以准确性和细节水平为代价的。 James II的开发旨在支持不同的建模形式,不同的模拟器及其组合。它基于插件概念,使开发人员可以集成空间和非空间建模形式化(例如,随机π演算,Beta活页夹,Dev,SPACE-π),模拟算法(例如Gillespie算法的变体(包括Tau Leaping和下一个子体积方法),空间π模拟器,并行Beta绑定器模拟器)以及将支持技术(例如分区算法,数据收集机制,数据结构,随机数生成器)添加到现有框架中。这简化了应用建模和仿真以及建模和仿真研究中的方法开发和结果评估。

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