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Computational methods in systems bio...
~
Lio, Pietro.
Computational methods in systems biology = 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016 : proceedings /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computational methods in systems biology/ edited by Ezio Bartocci, Pietro Lio, Nicola Paoletti.
Reminder of title:
14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016 : proceedings /
remainder title:
CMSB 2016
other author:
Bartocci, Ezio.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer International Publishing : : 2016.,
Description:
xiii, 356 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Computational biology - Congresses. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-45177-0
ISBN:
9783319451770
Computational methods in systems biology = 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016 : proceedings /
Computational methods in systems biology
14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016 : proceedings /[electronic resource] :CMSB 2016edited by Ezio Bartocci, Pietro Lio, Nicola Paoletti. - Cham :Springer International Publishing :2016. - xiii, 356 p. :ill., digital ;24 cm. - Lecture notes in computer science,98590302-9743 ;. - Lecture notes in computer science ;6140..
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.
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.
ISBN: 9783319451770
Standard No.: 10.1007/978-3-319-45177-0doiSubjects--Topical Terms:
675350
Computational biology
--Congresses.
LC Class. No.: QH324.2
Dewey Class. No.: 570.285
Computational methods in systems biology = 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016 : proceedings /
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14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016 : proceedings /
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edited by Ezio Bartocci, Pietro Lio, Nicola Paoletti.
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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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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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