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Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist
We present StochSS: Stochastic Simulation as a Service, an integrated development environment for modeling and simulation of both deterministic and discrete stochastic biochemical systems in up to three dimensions. An easy to use graphical user interface enables researchers to quickly develop and si...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145134/ https://www.ncbi.nlm.nih.gov/pubmed/27930676 http://dx.doi.org/10.1371/journal.pcbi.1005220 |
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author | Drawert, Brian Hellander, Andreas Bales, Ben Banerjee, Debjani Bellesia, Giovanni Daigle, Bernie J. Douglas, Geoffrey Gu, Mengyuan Gupta, Anand Hellander, Stefan Horuk, Chris Nath, Dibyendu Takkar, Aviral Wu, Sheng Lötstedt, Per Krintz, Chandra Petzold, Linda R. |
author_facet | Drawert, Brian Hellander, Andreas Bales, Ben Banerjee, Debjani Bellesia, Giovanni Daigle, Bernie J. Douglas, Geoffrey Gu, Mengyuan Gupta, Anand Hellander, Stefan Horuk, Chris Nath, Dibyendu Takkar, Aviral Wu, Sheng Lötstedt, Per Krintz, Chandra Petzold, Linda R. |
author_sort | Drawert, Brian |
collection | PubMed |
description | We present StochSS: Stochastic Simulation as a Service, an integrated development environment for modeling and simulation of both deterministic and discrete stochastic biochemical systems in up to three dimensions. An easy to use graphical user interface enables researchers to quickly develop and simulate a biological model on a desktop or laptop, which can then be expanded to incorporate increasing levels of complexity. StochSS features state-of-the-art simulation engines. As the demand for computational power increases, StochSS can seamlessly scale computing resources in the cloud. In addition, StochSS can be deployed as a multi-user software environment where collaborators share computational resources and exchange models via a public model repository. We demonstrate the capabilities and ease of use of StochSS with an example of model development and simulation at increasing levels of complexity. |
format | Online Article Text |
id | pubmed-5145134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51451342016-12-22 Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist Drawert, Brian Hellander, Andreas Bales, Ben Banerjee, Debjani Bellesia, Giovanni Daigle, Bernie J. Douglas, Geoffrey Gu, Mengyuan Gupta, Anand Hellander, Stefan Horuk, Chris Nath, Dibyendu Takkar, Aviral Wu, Sheng Lötstedt, Per Krintz, Chandra Petzold, Linda R. PLoS Comput Biol Research Article We present StochSS: Stochastic Simulation as a Service, an integrated development environment for modeling and simulation of both deterministic and discrete stochastic biochemical systems in up to three dimensions. An easy to use graphical user interface enables researchers to quickly develop and simulate a biological model on a desktop or laptop, which can then be expanded to incorporate increasing levels of complexity. StochSS features state-of-the-art simulation engines. As the demand for computational power increases, StochSS can seamlessly scale computing resources in the cloud. In addition, StochSS can be deployed as a multi-user software environment where collaborators share computational resources and exchange models via a public model repository. We demonstrate the capabilities and ease of use of StochSS with an example of model development and simulation at increasing levels of complexity. Public Library of Science 2016-12-08 /pmc/articles/PMC5145134/ /pubmed/27930676 http://dx.doi.org/10.1371/journal.pcbi.1005220 Text en © 2016 Drawert et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Drawert, Brian Hellander, Andreas Bales, Ben Banerjee, Debjani Bellesia, Giovanni Daigle, Bernie J. Douglas, Geoffrey Gu, Mengyuan Gupta, Anand Hellander, Stefan Horuk, Chris Nath, Dibyendu Takkar, Aviral Wu, Sheng Lötstedt, Per Krintz, Chandra Petzold, Linda R. Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist |
title | Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist |
title_full | Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist |
title_fullStr | Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist |
title_full_unstemmed | Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist |
title_short | Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist |
title_sort | stochastic simulation service: bridging the gap between the computational expert and the biologist |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145134/ https://www.ncbi.nlm.nih.gov/pubmed/27930676 http://dx.doi.org/10.1371/journal.pcbi.1005220 |
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