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Updated: Jun 23, 2026
09:29
Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
Published on: May 15, 2019
CellML metadata standards, associated tools and repositories.
Daniel A Beard1, Randall Britten, Mike T Cooling
1Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Summary
Scientists need better metadata for CellML models to improve sharing and analysis. New developments in CellML metadata aim to provide essential biological and biophysical annotations for multi-scale physiological models.
Area of Science:
- Computational Biology
- Systems Biology
- Biophysics
Background:
- Mathematical models are crucial for understanding multi-scale physiological processes.
- CellML is a standard for encoding biophysical models, with many available in its repository.
- Current CellML metadata lacks sufficient biological and biophysical annotation.
Purpose of the Study:
- To address the need for enhanced CellML metadata.
- To facilitate model sharing, automated reduction, and database integration.
- To provide an overview of new developments in CellML metadata standards.
Main Methods:
- Overview of new developments in CellML metadata.
- Focus on biological and biophysical annotation.
- Reference to further details on the CellML website.
Main Results:
- New developments extend CellML metadata capabilities.
- Enhanced annotations improve model discoverability and usability.
- Facilitation of model sharing and integration with biological databases.
Conclusions:
- Improved CellML metadata is essential for advancing physiological modeling.
- The new developments support broader scientific collaboration and data integration.
- Further methodological details are available for implementation.
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