1 option
Computational Methods in Systems Biology : 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016, Proceedings / edited by Ezio Bartocci, Pietro Lio, Nicola Paoletti.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 9859
- Lecture Notes in Bioinformatics, 2366-6331 ; 9859
- Language:
- English
- Subjects (All):
- Bioinformatics.
- Computer science.
- Computer simulation.
- Software engineering.
- Computer science-Mathematics.
- Computational and Systems Biology.
- Theory of Computation.
- Computer Modelling.
- Software Engineering.
- Symbolic and Algebraic Manipulation.
- Local Subjects:
- Computational and Systems Biology.
- Theory of Computation.
- Computer Modelling.
- Software Engineering.
- Symbolic and Algebraic Manipulation.
- Physical Description:
- 1 online resource (XIII, 356 pages) : 108 illustrations
- Edition:
- 1st ed. 2016.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-45177-0
- 9783319451770
- Access Restriction:
- Restricted for use by site license.
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