Simulation Frameworks for Morphogenetic Problems

Morphogenetic modelling and simulation help to understand the processes by which the form and shapes of organs (organogenesis) and organisms (embryogenesis) emerge. This requires two mutually coupled entities: the biomolecular signalling network and the tissue. Whereas the modelling of the signallin...

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Main Author: Simon Tanaka
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Computation
Subjects:
Online Access:http://www.mdpi.com/2079-3197/3/2/197
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spelling doaj-f9332fda6a684eb2bac046f9fc5f3d682020-11-24T22:15:29ZengMDPI AGComputation2079-31972015-04-013219722110.3390/computation3020197computation3020197Simulation Frameworks for Morphogenetic ProblemsSimon Tanaka0Department for Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, SwitzerlandMorphogenetic modelling and simulation help to understand the processes by which the form and shapes of organs (organogenesis) and organisms (embryogenesis) emerge. This requires two mutually coupled entities: the biomolecular signalling network and the tissue. Whereas the modelling of the signalling has been discussed and used in a multitude of works, the realistic modelling of the tissue has only started on a larger scale in the last decade. Here, common tissue modelling techniques are reviewed. Besides the continuum approach, the principles and main applications of the spheroid, vertex, Cellular Potts, Immersed Boundary and Subcellular Element models are discussed in detail. In recent years, many software frameworks, implementing the aforementioned methods, have been developed. The most widely used frameworks and modelling markup languages and standards are presented.http://www.mdpi.com/2079-3197/3/2/197cell-based modellingcomputational morphogenesiscomputational biology
collection DOAJ
language English
format Article
sources DOAJ
author Simon Tanaka
spellingShingle Simon Tanaka
Simulation Frameworks for Morphogenetic Problems
Computation
cell-based modelling
computational morphogenesis
computational biology
author_facet Simon Tanaka
author_sort Simon Tanaka
title Simulation Frameworks for Morphogenetic Problems
title_short Simulation Frameworks for Morphogenetic Problems
title_full Simulation Frameworks for Morphogenetic Problems
title_fullStr Simulation Frameworks for Morphogenetic Problems
title_full_unstemmed Simulation Frameworks for Morphogenetic Problems
title_sort simulation frameworks for morphogenetic problems
publisher MDPI AG
series Computation
issn 2079-3197
publishDate 2015-04-01
description Morphogenetic modelling and simulation help to understand the processes by which the form and shapes of organs (organogenesis) and organisms (embryogenesis) emerge. This requires two mutually coupled entities: the biomolecular signalling network and the tissue. Whereas the modelling of the signalling has been discussed and used in a multitude of works, the realistic modelling of the tissue has only started on a larger scale in the last decade. Here, common tissue modelling techniques are reviewed. Besides the continuum approach, the principles and main applications of the spheroid, vertex, Cellular Potts, Immersed Boundary and Subcellular Element models are discussed in detail. In recent years, many software frameworks, implementing the aforementioned methods, have been developed. The most widely used frameworks and modelling markup languages and standards are presented.
topic cell-based modelling
computational morphogenesis
computational biology
url http://www.mdpi.com/2079-3197/3/2/197
work_keys_str_mv AT simontanaka simulationframeworksformorphogeneticproblems
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