| Literature DB >> 33512399 |
Richard Jiang1, Bruno Jacob2, Matthew Geiger3, Sean Matthew3, Bryan Rumsey3, Prashant Singh4, Fredrik Wrede4, Tau-Mu Yi5, Brian Drawert6, Andreas Hellander4, Linda Petzold1,2.
Abstract
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: StochSS Live! is freely available at https://live.stochss.org/. SUPPLEMENTARY INFORMATION: Available at https://github.com/StochSS/Covid19_Modeling.Entities:
Year: 2021 PMID: 33512399 PMCID: PMC7929247 DOI: 10.1093/bioinformatics/btab061
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937