Large-scale executable biology using rapid integration of computational models
We plan to develop a systematic framework for assembling large-scale computational biological models by reusing and combining already existing modelling efforts. Our goal is to build a software platform that will compile large-scale biomodels through successive integrations of smaller modules. The m...
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| Format: | Article |
| Language: | English |
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Vladimir Andrunachievici Institute of Mathematics and Computer Science
2016-04-01
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| Series: | Computer Science Journal of Moldova |
| Subjects: | |
| Online Access: | http://www.math.md/files/csjm/v24-n1/v24-n1-(pp118-135).pdf |
| _version_ | 1797999537925652480 |
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| author | Vladimir Rogojin Ion Petre |
| author_facet | Vladimir Rogojin Ion Petre |
| author_sort | Vladimir Rogojin |
| collection | DOAJ |
| description | We plan to develop a systematic framework for assembling large-scale computational biological models by reusing and combining already existing modelling efforts. Our goal is to build a software platform that will compile large-scale biomodels through successive integrations of smaller modules. The modules can be arbitrary executable programs accompanied by a set of (I/O) interface variables; they may also have an internal structure (such as a metabolic network, interaction network, etc.) that yields its executable part in a well defined way. Firstly, wherever possible, modules with the compatible internal structure will be joined by combining their structure and by producing new larger executable modules (like, combining two metabolic networks, etc.). Then, irrespective of the underlying internal structure and modelling formalisms, all the modules will be integrated through connecting their overlapping interface variables. The resulting composed model will be regarded as an executable program itself and it will be simulated by running its submodules in parallel and synchronizing them via their I/O variables. This composed model in its turn can also act as a sub-module for some other even large composite model. The major goal of this project is to deliver a powerful large-scale modeling methodology for the primary use in the fields of Computational Systems Biology and Bioinformatics. |
| first_indexed | 2024-04-11T11:06:15Z |
| format | Article |
| id | doaj.art-4e7403cf09b74ca6a167bacaccc8a0c6 |
| institution | Directory Open Access Journal |
| issn | 1561-4042 |
| language | English |
| last_indexed | 2024-04-11T11:06:15Z |
| publishDate | 2016-04-01 |
| publisher | Vladimir Andrunachievici Institute of Mathematics and Computer Science |
| record_format | Article |
| series | Computer Science Journal of Moldova |
| spelling | doaj.art-4e7403cf09b74ca6a167bacaccc8a0c62022-12-22T04:28:20ZengVladimir Andrunachievici Institute of Mathematics and Computer ScienceComputer Science Journal of Moldova1561-40422016-04-01241(70)118135Large-scale executable biology using rapid integration of computational modelsVladimir Rogojin0Ion Petre1Computational Biomodelling Laboratory, Turku Centre for Computer Science, and Department of Computer Science, Åbo Akademi University, Agora, Domkyrkotorget 3, 20500 ÅboComputational Biomodelling Laboratory, Turku Centre for Computer Science, and Department of Computer Science, Åbo Akademi University, Agora, Domkyrkotorget 3, 20500 ÅboWe plan to develop a systematic framework for assembling large-scale computational biological models by reusing and combining already existing modelling efforts. Our goal is to build a software platform that will compile large-scale biomodels through successive integrations of smaller modules. The modules can be arbitrary executable programs accompanied by a set of (I/O) interface variables; they may also have an internal structure (such as a metabolic network, interaction network, etc.) that yields its executable part in a well defined way. Firstly, wherever possible, modules with the compatible internal structure will be joined by combining their structure and by producing new larger executable modules (like, combining two metabolic networks, etc.). Then, irrespective of the underlying internal structure and modelling formalisms, all the modules will be integrated through connecting their overlapping interface variables. The resulting composed model will be regarded as an executable program itself and it will be simulated by running its submodules in parallel and synchronizing them via their I/O variables. This composed model in its turn can also act as a sub-module for some other even large composite model. The major goal of this project is to deliver a powerful large-scale modeling methodology for the primary use in the fields of Computational Systems Biology and Bioinformatics.http://www.math.md/files/csjm/v24-n1/v24-n1-(pp118-135).pdfcomputational biomodellingmultiscale whole-cell modelingmodel integrationmodel refinementexecutable biology |
| spellingShingle | Vladimir Rogojin Ion Petre Large-scale executable biology using rapid integration of computational models Computer Science Journal of Moldova computational biomodelling multiscale whole-cell modeling model integration model refinement executable biology |
| title | Large-scale executable biology using rapid integration of computational models |
| title_full | Large-scale executable biology using rapid integration of computational models |
| title_fullStr | Large-scale executable biology using rapid integration of computational models |
| title_full_unstemmed | Large-scale executable biology using rapid integration of computational models |
| title_short | Large-scale executable biology using rapid integration of computational models |
| title_sort | large scale executable biology using rapid integration of computational models |
| topic | computational biomodelling multiscale whole-cell modeling model integration model refinement executable biology |
| url | http://www.math.md/files/csjm/v24-n1/v24-n1-(pp118-135).pdf |
| work_keys_str_mv | AT vladimirrogojin largescaleexecutablebiologyusingrapidintegrationofcomputationalmodels AT ionpetre largescaleexecutablebiologyusingrapidintegrationofcomputationalmodels |