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BioUML-towards a universal research platform.

Fedor Kolpakov1,2,3, Ilya Akberdin1,4,5, Ilya Kiselev1,2,3

  • 1Sirius University of Science and Technology, Sochi 354340, Russian Federation.

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This summary is machine-generated.

BioUML is an integrated web platform for systems biology, enabling visual modeling of complex biological systems and data analysis. It now supports diverse programming languages and workflow formats, enhancing biomedical research capabilities.

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Area of Science:

  • Systems biology
  • Computational biology
  • Bioinformatics

Background:

  • The need for integrated platforms in systems biology and biomedical data analysis is growing.
  • Existing tools often lack comprehensive support for visual modeling, data integration, and diverse analytical workflows.

Purpose of the Study:

  • To present BioUML as a versatile, web-based integrated platform for systems biology and data analysis.
  • To highlight the expanded capabilities of BioUML for complex biological modeling and biomedical data visualization.
  • To introduce u-science, a universal scientific platform derived from BioUML's development.

Main Methods:

  • Web-based platform development with support for visual modeling and hierarchical biological models.
  • Integration with git repositories for data and model storage.
  • Expansion of data analysis capabilities through Docker, Galaxy, R, Python (Jupyter notebooks), and plug-in architecture.
  • Support for various workflow formats including Galaxy, CWL, BPMN, and nextFlow.

Main Results:

  • BioUML facilitates the construction of complex modular models for systems like blood pressure regulation, skeletal muscle metabolism, and COVID-19 epidemiology.
  • The platform supports diverse data analysis and visualization through integration with various programming languages, workflow systems, and specialized viewers.
  • A new universal scientific platform, u-science, has been initiated based on BioUML's extensible architecture.

Conclusions:

  • BioUML provides a robust and flexible integrated platform for systems biology research and biomedical data analysis.
  • The platform's modularity and extensive integration capabilities support complex modeling and diverse analytical needs.
  • The development of u-science signifies a move towards configurable, universal scientific platforms tailored to specific research requirements.