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This book constitutes the refereed proceedings of the 14th 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…mehr
This book constitutes the refereed proceedings of the 14th 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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Inhaltsangabe
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.
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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