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SBMLNetwork: A framework for standards-based visualization of biochemical models
Adel Heydarabadipour1, Lucian Smith1, Joseph L Hellerstein1,2,3
1Department of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Plos Computational Biology
|September 22, 2025
Summary
SBMLNetwork is a new open-source software library for visualizing biochemical models using standards-based data. It enhances interoperability and reproducibility by integrating visualization directly with model data, improving systems biology research.
Area of Science:
- Systems Biology
- Computational Biology
- Bioinformatics
Background:
- Current tools for biochemical model visualization often use proprietary formats, hindering data integration and reproducibility.
- Separate storage of visualization data from the model itself limits seamless integration and interoperability.
Purpose of the Study:
- To introduce SBMLNetwork, an open-source software library for standards-based visualization of biochemical models.
- To address limitations in current tools by leveraging SBML Layout and Render specifications.
Main Methods:
- SBMLNetwork builds directly on the Systems Biology Markup Language (SBML) Layout and Render specifications.
- Automates the generation of standards-compliant visualization data.
- Provides a modular implementation with broad integration support and a robust API.
Main Results:
- SBMLNetwork enables standards-based visualization of biochemical models, enhancing interoperability and reproducibility.
- Demonstrates capabilities in SBGN-compliant visualization, style template application, and layout arrangement.
- Facilitates integration of model data into network diagrams for structural and dynamic visualization.
Conclusions:
- SBMLNetwork offers a practical solution for standards-based visualization of biochemical models.
- The software enhances the seamless translation of user intent into reproducible visualization outputs.
- It supports both structural representation and dynamic data visualization within SBML models.
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