Computational Methods in Systems Biology [electronic resource] : 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Bioinformatics ; 8859Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014Description: XVIII, 266 p. 80 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319129822

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

570.285 23
570.113 23

LOC classification:

QH324.2-324.25

Online resources:

Click here to access online

Contents:

Formalisms for Modelling Biological Processes -- Model Inference from Experimental Data -- Frameworks for Model Verification, Validation, and Analysis of Biological Systems.- Models and Their Biological Applications.- Computational Approaches for Synthetic Biology.- Flash Posters.

In: Springer Nature eBookSummary: This book constitutes the proceedings of the 12th International Conference on Computational Methods in Systems Biology, CMSB 2014, held in Manchester, UK, in November 2014. The 16 regular papers presented together with 6 poster papers were carefully reviewed and selected from 31 regular and 18 poster submissions. The papers are organized in topical sections on formalisms for modeling biological processes, model inference from experimental data, frameworks for model verification, validation, and analysis of biological systems, models and their biological applications, computational approaches for synthetic biology, and flash posters.

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This book constitutes the proceedings of the 12th International Conference on Computational Methods in Systems Biology, CMSB 2014, held in Manchester, UK, in November 2014. The 16 regular papers presented together with 6 poster papers were carefully reviewed and selected from 31 regular and 18 poster submissions. The papers are organized in topical sections on formalisms for modeling biological processes, model inference from experimental data, frameworks for model verification, validation, and analysis of biological systems, models and their biological applications, computational approaches for synthetic biology, and flash posters.

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