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Record Nr. |
UNINA9910483504803321 |
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Titolo |
Computational Methods in Systems Biology : 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016, Proceedings / / edited by Ezio Bartocci, Pietro Lio, Nicola Paoletti |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XIII, 356 p. 108 illus.) |
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Collana |
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Lecture Notes in Bioinformatics ; ; 9859 |
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Disciplina |
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Soggetti |
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Bioinformatics |
Computers |
Computer simulation |
Bioinformatics |
Computational biology |
Software engineering |
Computer science—Mathematics |
Computational Biology/Bioinformatics |
Computation by Abstract Devices |
Simulation and Modeling |
Computer Appl. in Life Sciences |
Software Engineering |
Symbolic and Algebraic Manipulation |
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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 contenuto |
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Modeling biological processes -- Models and their biological applications -- Frameworks for model verification, 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 14th |
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International Conference on Computational Methods in Systems Biology, CMSB 2016, held in Cambridge, UK, in September 2016. The 20 full papers, 3 tool papers and 9 posters presented were carefully reviewed and selected from 37 regular paper submissions. The topics include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, 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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