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.
Material type: TextSeries: Lecture Notes in Bioinformatics ; 10545 | Lecture Notes in Computer Science ; 10545Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XIII, 332 p. 108 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319674711Subject(s): Bioinformatics | Computer simulation | Computer logic | Numerical analysis | Computational Biology/Bioinformatics | Simulation and Modeling | Logics and Meanings of Programs | Numeric ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 570.285 LOC classification: QH324.2-324.25Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK15251 |
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.
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 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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