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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
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.
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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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