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Record Nr. |
UNISA996465980103316 |
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Titolo |
Computational Methods in Systems Biology [[electronic resource] ] : 15th International Conference, CMSB 2017, Darmstadt, Germany, September 27–29, 2017, Proceedings / / edited by Jérôme Feret, Heinz Koeppl |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIII, 332 p. 108 illus.) |
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Collana |
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Lecture Notes in Bioinformatics ; ; 10545 |
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Disciplina |
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Soggetti |
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Bioinformatics |
Computer simulation |
Computer logic |
Numerical analysis |
Computational Biology/Bioinformatics |
Simulation and Modeling |
Logics and Meanings of Programs |
Numeric Computing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Formalisms for modeling biological processes -- Models and their biological applications -- Frameworks for model verication, validation, analysis, and simulation of biological systems -- High-performance computational systems biology and parallel implementations -- Model inference from experimental data.-Model integration from biological databases -- Multi-scale modeling and analysis methods -- Computational approaches for synthetic biology. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 15th International Conference on Computational Methods in Systems Biology, CMSB 2017, held in Darmstadt, Germany, in September 2017. The 15 full papers, 4 tool papers and 4 posters presented together with 1 invited talk were carefully reviewed and selected from 41 regular |
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paper submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verication, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology. |
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