Epidemiological modeling in StochSS Live!

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 determini...

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Autores principales: Jiang, Richard, Jacob, Bruno, Geiger, Matthew, Matthew, Sean, Rumsey, Bryan, Singh, Prashant, Wrede, Fredrik, Yi, Tau-Mu, Drawert, Brian, Hellander, Andreas, Petzold, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929247/
https://www.ncbi.nlm.nih.gov/pubmed/33512399
http://dx.doi.org/10.1093/bioinformatics/btab061
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author Jiang, Richard
Jacob, Bruno
Geiger, Matthew
Matthew, Sean
Rumsey, Bryan
Singh, Prashant
Wrede, Fredrik
Yi, Tau-Mu
Drawert, Brian
Hellander, Andreas
Petzold, Linda
author_facet Jiang, Richard
Jacob, Bruno
Geiger, Matthew
Matthew, Sean
Rumsey, Bryan
Singh, Prashant
Wrede, Fredrik
Yi, Tau-Mu
Drawert, Brian
Hellander, Andreas
Petzold, Linda
author_sort Jiang, Richard
collection PubMed
description 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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spelling pubmed-79292472021-03-04 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 Bioinformatics Applications Notes 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. Oxford University Press 2021-01-29 /pmc/articles/PMC7929247/ /pubmed/33512399 http://dx.doi.org/10.1093/bioinformatics/btab061 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Jiang, Richard
Jacob, Bruno
Geiger, Matthew
Matthew, Sean
Rumsey, Bryan
Singh, Prashant
Wrede, Fredrik
Yi, Tau-Mu
Drawert, Brian
Hellander, Andreas
Petzold, Linda
Epidemiological modeling in StochSS Live!
title Epidemiological modeling in StochSS Live!
title_full Epidemiological modeling in StochSS Live!
title_fullStr Epidemiological modeling in StochSS Live!
title_full_unstemmed Epidemiological modeling in StochSS Live!
title_short Epidemiological modeling in StochSS Live!
title_sort epidemiological modeling in stochss live!
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929247/
https://www.ncbi.nlm.nih.gov/pubmed/33512399
http://dx.doi.org/10.1093/bioinformatics/btab061
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