Computational Methods in Systems Biology

14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016, Proceedings

Nonfiction, Computers, Advanced Computing, Theory, Computer Science, Science & Nature, Science
Cover of the book Computational Methods in Systems Biology by , Springer International Publishing
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Author: ISBN: 9783319451770
Publisher: Springer International Publishing Publication: September 3, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319451770
Publisher: Springer International Publishing
Publication: September 3, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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