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NUFEB: A massively parallel simulator for individual-based modelling of microbial communities
We present NUFEB (Newcastle University Frontiers in Engineering Biology), a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932830/ https://www.ncbi.nlm.nih.gov/pubmed/31830032 http://dx.doi.org/10.1371/journal.pcbi.1007125 |
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author | Li, Bowen Taniguchi, Denis Gedara, Jayathilake Pahala Gogulancea, Valentina Gonzalez-Cabaleiro, Rebeca Chen, Jinju McGough, Andrew Stephen Ofiteru, Irina Dana Curtis, Thomas P. Zuliani, Paolo |
author_facet | Li, Bowen Taniguchi, Denis Gedara, Jayathilake Pahala Gogulancea, Valentina Gonzalez-Cabaleiro, Rebeca Chen, Jinju McGough, Andrew Stephen Ofiteru, Irina Dana Curtis, Thomas P. Zuliani, Paolo |
author_sort | Li, Bowen |
collection | PubMed |
description | We present NUFEB (Newcastle University Frontiers in Engineering Biology), a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and their behaviour changes over time due to a variety of processes. This approach allows us to study population behaviours that emerge from the interaction between individuals and their environment. NUFEB is built on top of the classical molecular dynamics simulator LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator), which we extended with IbM features. A wide range of biological, physical and chemical processes are implemented to explicitly model microbial systems, with particular emphasis on biofilms. NUFEB is fully parallelised and allows for the simulation of large numbers of microbes (10(7) individuals and beyond). The parallelisation is based on a domain decomposition scheme that divides the domain into multiple sub-domains which are distributed to different processors. NUFEB also offers a collection of post-processing routines for the visualisation and analysis of simulation output. In this article, we give an overview of NUFEB’s functionalities and implementation details. We provide examples that illustrate the type of microbial systems NUFEB can be used to model and simulate. |
format | Online Article Text |
id | pubmed-6932830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69328302020-01-07 NUFEB: A massively parallel simulator for individual-based modelling of microbial communities Li, Bowen Taniguchi, Denis Gedara, Jayathilake Pahala Gogulancea, Valentina Gonzalez-Cabaleiro, Rebeca Chen, Jinju McGough, Andrew Stephen Ofiteru, Irina Dana Curtis, Thomas P. Zuliani, Paolo PLoS Comput Biol Research Article We present NUFEB (Newcastle University Frontiers in Engineering Biology), a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and their behaviour changes over time due to a variety of processes. This approach allows us to study population behaviours that emerge from the interaction between individuals and their environment. NUFEB is built on top of the classical molecular dynamics simulator LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator), which we extended with IbM features. A wide range of biological, physical and chemical processes are implemented to explicitly model microbial systems, with particular emphasis on biofilms. NUFEB is fully parallelised and allows for the simulation of large numbers of microbes (10(7) individuals and beyond). The parallelisation is based on a domain decomposition scheme that divides the domain into multiple sub-domains which are distributed to different processors. NUFEB also offers a collection of post-processing routines for the visualisation and analysis of simulation output. In this article, we give an overview of NUFEB’s functionalities and implementation details. We provide examples that illustrate the type of microbial systems NUFEB can be used to model and simulate. Public Library of Science 2019-12-12 /pmc/articles/PMC6932830/ /pubmed/31830032 http://dx.doi.org/10.1371/journal.pcbi.1007125 Text en © 2019 Li 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 Li, Bowen Taniguchi, Denis Gedara, Jayathilake Pahala Gogulancea, Valentina Gonzalez-Cabaleiro, Rebeca Chen, Jinju McGough, Andrew Stephen Ofiteru, Irina Dana Curtis, Thomas P. Zuliani, Paolo NUFEB: A massively parallel simulator for individual-based modelling of microbial communities |
title | NUFEB: A massively parallel simulator for individual-based modelling of microbial communities |
title_full | NUFEB: A massively parallel simulator for individual-based modelling of microbial communities |
title_fullStr | NUFEB: A massively parallel simulator for individual-based modelling of microbial communities |
title_full_unstemmed | NUFEB: A massively parallel simulator for individual-based modelling of microbial communities |
title_short | NUFEB: A massively parallel simulator for individual-based modelling of microbial communities |
title_sort | nufeb: a massively parallel simulator for individual-based modelling of microbial communities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932830/ https://www.ncbi.nlm.nih.gov/pubmed/31830032 http://dx.doi.org/10.1371/journal.pcbi.1007125 |
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