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Epidemiological modeling in StochSS Live!
- Jiang, Richard;
- Jacob, Bruno;
- Geiger, Matthew;
- Matthew, Sean;
- Rumsey, Bryan;
- Singh, Prashant;
- Wrede, Fredrik;
- Yi, Tau-Mu;
- Drawert, Brian;
- Hellander, Andreas;
- Petzold, Linda
- Editor(s): Przytycka, Teresa
Published Web Location
https://doi.org/10.1093/bioinformatics/btab061Abstract
SUMMARY: We present StochSS Live!, a web-based service for modeling, simulation and analysis of a wide range of mathematical, biological and biochemical systems. Using an epidemiological model of COVID-19, we demonstrate the power of StochSS Live! to enable researchers to quickly develop a deterministic or a discrete stochastic model, infer its parameters and analyze the results. AVAILABILITY AND IMPLEMENTATION: StochSS Live! is freely available at https://live.stochss.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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