Cargando…
A cell-based simulation software for multi-cellular systems
CellSys is a modular software tool for efficient off-lattice simulation of growth and organization processes in multi-cellular systems in 2D and 3D. It implements an agent-based model that approximates cells as isotropic, elastic and adhesive objects. Cell migration is modeled by an equation of moti...
Autores principales: | , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951083/ https://www.ncbi.nlm.nih.gov/pubmed/20709692 http://dx.doi.org/10.1093/bioinformatics/btq437 |
_version_ | 1782187683209019392 |
---|---|
author | Hoehme, Stefan Drasdo, Dirk |
author_facet | Hoehme, Stefan Drasdo, Dirk |
author_sort | Hoehme, Stefan |
collection | PubMed |
description | CellSys is a modular software tool for efficient off-lattice simulation of growth and organization processes in multi-cellular systems in 2D and 3D. It implements an agent-based model that approximates cells as isotropic, elastic and adhesive objects. Cell migration is modeled by an equation of motion for each cell. The software includes many modules specifically tailored to support the simulation and analysis of virtual tissues including real-time 3D visualization and VRML 2.0 support. All cell and environment parameters can be independently varied which facilitates species specific simulations and allows for detailed analyses of growth dynamics and links between cellular and multi-cellular phenotypes. Availability: CellSys is freely available for non-commercial use at http://msysbio.com/software/cellsys. The current version of CellSys permits the simulation of growing monolayer cultures and avascular tumor spheroids in liquid environment. Further functionality will be made available ongoing with published papers. Contact: hoehme@izbi.uni-leipzig.de; dirk.drasdo@inria.fr Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-2951083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29510832010-10-08 A cell-based simulation software for multi-cellular systems Hoehme, Stefan Drasdo, Dirk Bioinformatics Applications Note CellSys is a modular software tool for efficient off-lattice simulation of growth and organization processes in multi-cellular systems in 2D and 3D. It implements an agent-based model that approximates cells as isotropic, elastic and adhesive objects. Cell migration is modeled by an equation of motion for each cell. The software includes many modules specifically tailored to support the simulation and analysis of virtual tissues including real-time 3D visualization and VRML 2.0 support. All cell and environment parameters can be independently varied which facilitates species specific simulations and allows for detailed analyses of growth dynamics and links between cellular and multi-cellular phenotypes. Availability: CellSys is freely available for non-commercial use at http://msysbio.com/software/cellsys. The current version of CellSys permits the simulation of growing monolayer cultures and avascular tumor spheroids in liquid environment. Further functionality will be made available ongoing with published papers. Contact: hoehme@izbi.uni-leipzig.de; dirk.drasdo@inria.fr Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-10-15 2010-08-13 /pmc/articles/PMC2951083/ /pubmed/20709692 http://dx.doi.org/10.1093/bioinformatics/btq437 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Hoehme, Stefan Drasdo, Dirk A cell-based simulation software for multi-cellular systems |
title | A cell-based simulation software for multi-cellular systems |
title_full | A cell-based simulation software for multi-cellular systems |
title_fullStr | A cell-based simulation software for multi-cellular systems |
title_full_unstemmed | A cell-based simulation software for multi-cellular systems |
title_short | A cell-based simulation software for multi-cellular systems |
title_sort | cell-based simulation software for multi-cellular systems |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951083/ https://www.ncbi.nlm.nih.gov/pubmed/20709692 http://dx.doi.org/10.1093/bioinformatics/btq437 |
work_keys_str_mv | AT hoehmestefan acellbasedsimulationsoftwareformulticellularsystems AT drasdodirk acellbasedsimulationsoftwareformulticellularsystems AT hoehmestefan cellbasedsimulationsoftwareformulticellularsystems AT drasdodirk cellbasedsimulationsoftwareformulticellularsystems |