Computational Methods in Systems Biology [electronic resource] : 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016, Proceedings / edited by Ezio Bartocci, Pietro Lio, Nicola Paoletti.
Material type:
TextSeries: Lecture Notes in Bioinformatics ; 9859 | Lecture Notes in Computer Science ; 9859Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XIII, 356 p. 108 illus. online resourceContent type: - text
- computer
- online resource
- 9783319451770
- Bioinformatics
- Computers
- Computer simulation
- Bioinformatics
- Computational biology
- Software engineering
- Computer science—Mathematics
- Computational Biology/Bioinformatics
- Computation by Abstract Devices
- Simulation and Modeling
- Computer Appl. in Life Sciences
- Software Engineering
- Symbolic and Algebraic Manipulation
- 570.285 23
- QH324.2-324.25
E-BOOKS
| Home library | Call number | Materials specified | URL | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| IMSc Library | Link to resource | Available | EBK14664 |
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.
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