TabularQual: A spreadsheet-based format for annotating and curating logical models in SBML-qual

Area of Science:

• Systems Biology
• Computational Biology
• Bioinformatics

Background:

• Logical models are crucial for studying biological regulatory and signaling systems.
• Challenges exist in reusing, annotating, and exchanging these models across different software tools.
• The Systems Biology Markup Language Level 3 Qualitative Models (SBML-qual) standard offers a representation but is difficult to edit directly due to its XML format.

Purpose of the Study:

• To introduce TabularQual, a spreadsheet-based representation for logical models.
• To develop a bidirectional converter between TabularQual and SBML-qual.
• To facilitate model reuse, annotation, and exchange in systems biology.

Main Methods:

• Developed TabularQual, a community-driven, spreadsheet-based format for Boolean and multi-valued logical models.
• Created a bidirectional converter supporting programmatic access and a web interface.
• Described integration strategies for existing modeling tools via SBML-qual exchange or direct support.

Main Results:

• TabularQual provides a human-readable alternative to SBML-qual for logical models.
• The converter enables seamless data exchange between spreadsheets and SBML-qual.
• Case studies demonstrated improved model construction, curation, and reuse.

Conclusions:

• TabularQual serves as a practical bridge between accessible model representations and standardized executable formats.
• This approach enhances reproducibility, interoperability, and community-driven model development in systems biology.
• TabularQual simplifies the management and application of logical models in biological research.