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Computational Methods in Systems Biology: 19th International Conference, Cmsb 2021, Bordeaux, France, September 22-24, 2021, Proceedings
Limba:
Tip copertă:
Moale
Număr de pagini:
281
This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021, held in Bordeaux, France, September 22-24, 2021.*The 13 full ...Descriere completă
332,00 RON
Informații detaliate
| ISBN | 9783030856328 |
|---|---|
| Autor | Cinquemani Eugenio |
| Editura | Springer Nature |
| Limba | english |
| Tip copertă | Paperback |
| Anul publicării | 2021 |
| Număr de pagini | 281 |
Descrierea cărții
This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021, held in Bordeaux, France, September 22-24, 2021.*The 13 full papers and 5 tool papers were carefully reviewed and selected from 32 submissions. The topics of interest include biological process modelling
biological system model verification, validation, analysis, and simulation
high-performance computational systems biology
model inference from experimental data
multi-scale modeling and analysis methods
computational approaches for synthetic biology
machine learning and data-driven approaches
microbial ecology modelling and analysis
methods and protocols for populations and their variability
models, applications, and case studies in systems and synthetic biology. The chapters Microbial Community Decision Making Models in Batch, Population design for synthetic gene circuits, BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems are published open access under a CC BY license (Creative Commons Attribution 4.0 International License).
* The conference was held in a hybrid mode due to the COVID-19 pandemic.
biological system model verification, validation, analysis, and simulation
high-performance computational systems biology
model inference from experimental data
multi-scale modeling and analysis methods
computational approaches for synthetic biology
machine learning and data-driven approaches
microbial ecology modelling and analysis
methods and protocols for populations and their variability
models, applications, and case studies in systems and synthetic biology. The chapters Microbial Community Decision Making Models in Batch, Population design for synthetic gene circuits, BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems are published open access under a CC BY license (Creative Commons Attribution 4.0 International License).
* The conference was held in a hybrid mode due to the COVID-19 pandemic.
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