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An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks (Chapman & Hall/CRC Computational Biology Series)

معرفی کتاب «An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks (Chapman & Hall/CRC Computational Biology Series)» نوشتهٔ Karthik Raman، منتشرشده توسط نشر Chapman and Hall/CRC در سال 2021. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. Key Features:- A hands-on approach to modelling- Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models- Thoughtful exercises to test and enable understanding of concepts- State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design- Emphasis on coding and software tools for systems biology- Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others. This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. Key Features: A hands-on approach to modelling Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models Thoughtful exercises to test and enable understanding of concepts State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design Emphasis on coding and software tools for systems biology Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/ An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others. Dedication Contents Preface 1. Introduction to modelling Part I: Static Modelling 2. Introduction to graph theory 3. Structure of networks 4. Applications of network biology Part II: Dynamic Modelling 5. Introduction to dynamic modelling 6. Parameter estimation 7. Discrete dynamic models: Boolean networks Part III: Constraint-based Modelling 8. Introduction to constraint-based modelling 9. Extending constraint-based approaches 10. Perturbations to metabolic networks Part IV: Advanced Topics 11. Modelling cellular interactions 12. Designing biological circuits 13. Robustness and evolvability of biological systems 14. Epilogue: The road ahead Online-only appendices Index "This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks-a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. The book is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others"-- Provided by publisher
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