modelRxiv: A Platform for Sharing Biological Models
Author Information
Author(s): Keith D. Harris, Guy Hadari, Gili Greenbaum
Primary Institution: The Hebrew University of Jerusalem
Hypothesis
Can an interactive repository improve the accessibility and usability of ecological and evolutionary models?
Conclusion
The modelRxiv platform enhances the accessibility and reproducibility of biological models by allowing users to interact with models without needing technical expertise.
Supporting Evidence
- The platform allows users to visualize and manipulate model dynamics without needing to install software.
- AI-assisted conversion makes it easier to upload models from various programming languages.
- Users can explore the full parameter space of models, enhancing understanding and robustness.
Takeaway
modelRxiv is like a library where scientists can easily find and play with models about nature without needing to know how to code.
Methodology
The platform uses AI to convert models into a format that can be easily accessed and manipulated in a web browser.
Limitations
The platform currently supports only Python and JavaScript models and is less suited for long-running analyses.
Digital Object Identifier (DOI)
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