Raman, Karthik
Introduction to Computational Systems Biology : Systems-Level Modelling of Cellular Networks - Boca Raton Chapman and Hall/CRC 2021 - xxii, 336p.
Introduction to modelling
Introduction to graph theory
Structure of networks
Applications of network biology
Introduction to dynamic modelling
Parameter estimation
Discrete dynamic models: Boolean networks
Introduction to constraint-based modelling
Extending constraint-based approaches
Perturbations to metabolic networks
Modelling cellular interactions
Designing biological circuits
Robustness and evolvability of biological systems
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:
1. A hands-on approach to modelling
2. Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models
3. Thoughtful exercises to test and enable understanding of concepts
4. State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design
5. Emphasis on coding and software tools for systems biology
6. 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.
9781138597327 (HB)
Statistical genetics and bioinformatics
577.2:51-3 / RAM
Introduction to Computational Systems Biology : Systems-Level Modelling of Cellular Networks - Boca Raton Chapman and Hall/CRC 2021 - xxii, 336p.
Introduction to modelling
Introduction to graph theory
Structure of networks
Applications of network biology
Introduction to dynamic modelling
Parameter estimation
Discrete dynamic models: Boolean networks
Introduction to constraint-based modelling
Extending constraint-based approaches
Perturbations to metabolic networks
Modelling cellular interactions
Designing biological circuits
Robustness and evolvability of biological systems
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:
1. A hands-on approach to modelling
2. Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models
3. Thoughtful exercises to test and enable understanding of concepts
4. State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design
5. Emphasis on coding and software tools for systems biology
6. 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.
9781138597327 (HB)
Statistical genetics and bioinformatics
577.2:51-3 / RAM