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模拟实验描述标记语言(SED-ML):第1级第5版语言规范

The simulation experiment description markup language (SED-ML): language specification for level 1 version 5.

作者信息

Smith Lucian P, Bergmann Frank T, Garny Alan, Helikar Tomáš, Karr Jonathan, Nickerson David, Sauro Herbert, Waltemath Dagmar, König Matthias

机构信息

7284 University of Washington , Seattle, USA.

BioQUANT/COS, 132140 Heidelberg University , Heidelberg, Germany.

出版信息

J Integr Bioinform. 2024 Apr 15;21(1). doi: 10.1515/jib-2024-0008. eCollection 2024 Mar 1.

Abstract

Modern biological research is increasingly informed by computational simulation experiments, which necessitate the development of methods for annotating, archiving, sharing, and reproducing the conducted experiments. These simulations increasingly require extensive collaboration among modelers, experimentalists, and engineers. The Minimum Information About a Simulation Experiment (MIASE) guidelines outline the information needed to share simulation experiments. SED-ML is a computer-readable format for the information outlined by MIASE, created as a community project and supported by many investigators and software tools. Level 1 Version 5 of SED-ML expands the ability of modelers to define simulations in SED-ML using the Kinetic Simulation Algorithm Onotoloy (KiSAO). While it was possible in Version 4 to define a simulation entirely using KiSAO, Version 5 now allows users to define tasks, model changes, ranges, and outputs using the ontology as well. SED-ML is supported by a growing ecosystem of investigators, model languages, and software tools, including various languages for constraint-based, kinetic, qualitative, rule-based, and spatial models, and many simulation tools, visual editors, model repositories, and validators. Additional information about SED-ML is available at https://sed-ml.org/.

摘要

现代生物学研究越来越多地受到计算模拟实验的影响,这就需要开发用于注释、存档、共享和重现所进行实验的方法。这些模拟越来越需要建模人员、实验人员和工程师之间进行广泛的协作。《模拟实验最小信息(MIASE)指南》概述了共享模拟实验所需的信息。SED-ML是一种计算机可读格式,用于存储MIASE所概述的信息,它是作为一个社区项目创建的,并得到了许多研究人员和软件工具的支持。SED-ML第1版第5次更新扩展了建模人员使用动力学模拟算法本体(KiSAO)在SED-ML中定义模拟的能力。虽然在第4版中可以完全使用KiSAO定义模拟,但第5版现在允许用户也使用该本体来定义任务、模型更改、范围和输出。越来越多的研究人员、模型语言和软件工具生态系统支持SED-ML,包括用于基于约束、动力学、定性、基于规则和空间模型的各种语言,以及许多模拟工具、可视化编辑器、模型存储库和验证器。有关SED-ML的更多信息,请访问https://sed-ml.org/。

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