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CONVERSION FROM BIOPAX TO CSO FOR SYSTEM DYNAMICS AND VISUALIZATION OF BIOLOGICAL PATHWAY

机译:从Biopax转换为CSO的系统动态和生物途径的可视化

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The vast accumulation of biological pathway data scattered in various sources presents challenges in the exchange and integration of these data. Major new standards for representation of pathway data and the ability to check inconsistency in pathways are inevitable for the development of a reliable pathway data repository. Within the context of biological pathways, the cell system ontology (CSO) had been developed as a general framework to model system dynamics and visualization of diverse biological pathways. CSO provides an excellent environment for modeling, visualizing, and simulating complex molecular mechanisms at different levels of details. This paper examines whether CSO addresses the integration capability of pathway data with system dynamics. We present a conversion tool for converting BioPAX to CSO. Transforming the data from BioPAX to CSO not only allows an analysis of the dynamic behaviors in molecular interactions but also allows the results to be stored for further biological investigations, which is not possible in BioPAX. The conversion is done using simple inference algorithms with the addition of view- and simulation-related properties. We demonstrate how CSO can be used to build a complete and consistent pathway repository and enhance the inter-operability among applications.
机译:在各种来源中散落的生物途径数据的大量积累会呈现出交数据的交换和整合。用于途径数据的主要新标准以及检查路径中的不一致能力是不可避免的,可用于开发可靠的路径数据存储库。在生物途径的背景下,细胞系统本体(CSO)已成为模拟系统动态​​和不同生物途径可视化的一般框架。 CSO提供了用于在不同细节水平的建模,可视化和模拟复杂分子机制的优异环境。本文介绍了CSO是否通过系统动态解决了途径数据的集成能力。我们提出了一种转换工具,用于将Biopax转换为CSO。将数据从BioPax转化为CSO,不仅允许分析分子相互作用的动态行为,而且还允许将结果储存用于进一步的生物学研究,这在BIopax中是不可能的。使用简单推理算法进行转换,添加了与仿真相关的属性。我们展示了CSO如何用于构建完整且一致的路径存储库,并增强应用程序之间的可互操作性。

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