Sgabu平台——生物医学数据集和多尺度模型的集成平台

T. Šušteršič, Jelena Marković, Aleksandar Atanasijević, A. Živić, M. Ivanovic, Nenad Filipović
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引用次数: 0

摘要

SGABU平台的目的是在多尺度建模领域包括各种模型和数据集。SGABU平台的主要方面是与癌症、心血管、骨骼和组织疾病相关的各种数据集和多尺度模型。从数据集集成的角度来看,任务需要实现用户界面,其中包括对表格数据的操作,或者需要前端开发人员使用Angular、Plotly.js、Paraview Glance等技术进行进一步调优的大多数数据集。从多尺度模型集成的角度来看,SGABU平台提供的仿真模块大多采用通用工作流语言(Common Workflow Language, CWL)工作流实现。这种方法是一个显而易见的选择,因为它利用了Docker容器化和一种表示输入、输出和中间结果的标准化方式,提供了可查找性、可访问性、互操作性和可重用性(FAIR原则)。提供CWL类型工作流的工作包括两个不同的操作:(1)在FES(功能性引擎服务)后端开发CWL实现,以及(2)开发适当的UI。这样的集成平台演示了不同建模示例的使用,并说明了从想法到实现的学习过程。
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SGABU PLATFORM – INTEGRATED PLATFORM FOR BIOMEDICAL DATASETS AND MULTISCALE MODELS
The purpose of the SGABU platform is to include various models and datasets in the area of multiscale modelling. The main aspect of SGABU platform are various datasets and multiscale models related to cancer, cardiovascular, bone and tissue disorders. From the point of view of the dataset integration, a task requires implementation of the user interface that includes manipulation with either tabular data, or most of the datasets required further tuning carried out by front-end developers employing technologies such as Angular, Plotly.js, Paraview Glance, etc. From the point of view of integration of the multiscale models, most of the simulation modules provided by SGABU platform are implemented as Common Workflow Language (CWL) workflows. This method is an obvious choice since it makes use of Docker containerization and a standardized way of representing inputs, outputs, and intermediate results, giving findability, accessibility, inter-operability and reusability (FAIR principles). The effort of providing CWL type workflows consists of two distinct actions: (1) developing CWL implementation on FES (Functional Engine Service) backend and (2) developing an appropriate UI. Such integrated platform demonstratеs the use of different modelling examples and illustratеs the learning process from idea to implementation.
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