paraSBOLv: a foundation for standard-compliant genetic design visualization tools

Area of Science:

• Synthetic Biology
• Computational Biology
• Bioinformatics

Background:

• Standardized glyphs are crucial for communicating complex designs in engineering, exemplified by circuit diagrams in electronics.
• The Synthetic Biology Open Language Visual (SBOLv) standard enables visual description and sharing of biological designs.
• Developing computational tools for SBOLv is challenging due to the large and growing number of glyphs requiring maintenance.

Purpose of the Study:

• To introduce paraSBOLv, a Python package that simplifies access to SBOLv glyphs.
• To enable easier creation and customization of SBOLv diagrams through machine-readable parametric glyph definitions.
• To reduce the maintenance burden associated with rendering SBOLv glyphs in computational tools.

Main Methods:

• Developed a Python package, paraSBOLv, providing access to SBOLv glyphs via parametric definitions.
• Utilized machine-readable definitions to streamline the glyph rendering process.
• Demonstrated the package's ability to facilitate customization of biodesign diagrams.

Main Results:

• ParaSBOLv offers access to the complete set of SBOLv glyphs.
• The package simplifies diagram rendering and allows for extensive customization.
• Adoption of paraSBOLv accelerates the development of specialized biodesign visualization tools.

Conclusions:

• ParaSBOLv significantly reduces the effort required for developing and maintaining SBOLv visualization tools.
• The package can serve as a foundation for more sophisticated biodesign software.
• Integrating machine-readable parametric glyph definitions into SBOLv could enhance tool development and cross-disciplinary visual standard integration.