Epidemiological modeling in StochSS Live!
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
09 Sep 2021
09 Sep 2021
Historique:
received:
22
09
2020
revised:
20
01
2021
accepted:
26
01
2021
medline:
30
1
2021
pubmed:
30
1
2021
entrez:
29
1
2021
Statut:
ppublish
Résumé
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. StochSS Live! is freely available at https://live.stochss.org/. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 33512399
pii: 6123781
doi: 10.1093/bioinformatics/btab061
pmc: PMC7929247
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2787-2788Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB014877
Pays : United States
Organisme : NIBIB NIH HHS
ID : 2-R01-EB014877-04A1
Pays : United States
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press.