SGABU PLATFORM – INTEGRATED PLATFORM FOR BIOMEDICAL DATASETS AND MULTISCALE MODELS

Authors

  • Tijana Šušteršič Faculty of Engineering, University of Kragujevac
  • Jelena Marković Faculty of Engineering, University of Kragujevac
  • Aleksandar Atanasijević University of Kragujevac Computing Center
  • Andreja Živić Faculty of Science, University of Kragujevac
  • Miloš Ivanović Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
  • Nenad Filipović Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia

DOI:

https://doi.org/10.7251/COMEN2202140S

Abstract

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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Published

2022-12-30