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

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Lucian P. Smith, Frank T. Bergmann, Alan Garny, Tomáš Helikar, Jonathan Karr, D. Nickerson, Herbert M. Sauro, Dagmar Waltemath, Matthias König
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引用次数: 0

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/.
模拟实验描述标记语言(SED-ML):第 1 级第 5 版语言规范。
现代生物学研究越来越多地借助于计算模拟实验,这就需要开发注释、归档、共享和复制所进行实验的方法。这些模拟实验越来越需要建模人员、实验人员和工程师之间的广泛合作。模拟实验最低限度信息(MIASE)指南概述了共享模拟实验所需的信息。SED-ML 是 MIASE 概述的信息的计算机可读格式,作为一个社区项目创建,并得到许多研究人员和软件工具的支持。SED-ML 第 5 版扩展了建模者在 SED-ML 中使用动力学模拟算法 Onotoloy (KiSAO) 定义模拟的能力。在第 4 版中,用户可以完全使用 KiSAO 来定义模拟,而第 5 版现在也允许用户使用本体来定义任务、模型变化、范围和输出。SED-ML 得到了研究人员、模型语言和软件工具等日益壮大的生态系统的支持,包括各种基于约束、动力学、定性、基于规则和空间模型的语言,以及许多仿真工具、可视化编辑器、模型库和验证器。有关 SED-ML 的更多信息,请访问 https://sed-ml.org/。
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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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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