Sirius University of Science and Technology, Sochi 354340, Russian Federation.
Federal Research Center for Information and Computational Technologies, Novosibirsk 630090, Russian Federation.
Nucleic Acids Res. 2022 Jul 5;50(W1):W124-W131. doi: 10.1093/nar/gkac286.
BioUML (https://www.biouml.org)-is a web-based integrated platform for systems biology and data analysis. It supports visual modelling and construction of hierarchical biological models that allow us to construct the most complex modular models of blood pressure regulation, skeletal muscle metabolism, COVID-19 epidemiology. BioUML has been integrated with git repositories where users can store their models and other data. We have also expanded the capabilities of BioUML for data analysis and visualization of biomedical data: (i) any programs and Jupyter kernels can be plugged into the BioUML platform using Docker technology; (ii) BioUML is integrated with the Galaxy and Galaxy Tool Shed; (iii) BioUML provides two-way integration with R and Python (Jupyter notebooks): scripts can be executed on the BioUML web pages, and BioUML functions can be called from scripts; (iv) using plug-in architecture, specialized viewers and editors can be added. For example, powerful genome browsers as well as viewers for molecular 3D structure are integrated in this way; (v) BioUML supports data analyses using workflows (own format, Galaxy, CWL, BPMN, nextFlow). Using these capabilities, we have initiated a new branch of the BioUML development-u-science-a universal scientific platform that can be configured for specific research requirements.
BioUML(https://www.biouml.org)是一个基于网络的系统生物学和数据分析的集成平台。它支持可视化建模和构建分层生物模型,使我们能够构建最复杂的血压调节、骨骼肌代谢、COVID-19 流行病学的模块化模型。BioUML 已经与 git 存储库集成,用户可以在其中存储他们的模型和其他数据。我们还扩展了 BioUML 的数据分析和可视化生物医学数据的功能:(i)可以使用 Docker 技术将任何程序和 Jupyter 内核插入到 BioUML 平台;(ii)BioUML 与 Galaxy 和 Galaxy Tool Shed 集成;(iii)BioUML 提供与 R 和 Python(Jupyter 笔记本)的双向集成:脚本可以在 BioUML 网页上执行,并且可以从脚本中调用 BioUML 函数;(iv)使用插件架构,可以添加专门的查看器和编辑器。例如,强大的基因组浏览器以及分子 3D 结构查看器就是以这种方式集成的;(v)BioUML 支持使用工作流程(自有格式、Galaxy、CWL、BPMN、nextFlow)进行数据分析。利用这些功能,我们启动了 BioUML 开发的一个新分支-u-science-一个通用的科学平台,可以根据特定的研究需求进行配置。