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

Product Description

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: 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.

Review

This is a very comprehensive read that provides a solid base in computational biology. The book is structured in 4 parts and 14 chapters which cover all the way from the more basic concepts to advanced material, including the state-of-the-art methodologies in synthetic and systems biology. This is a bedside book for those researchers embarking to do investigation in computational biology and a great office companion for anyone working on systems and synthetic biology.
— Rodrigo Ledesma Amaro, Lecturer, Imperial College London 
This is a fantastic book.  It offers an elegant introduction to both classical and modern concepts in computational biology.  To the uninitiated, it is a terrific first read, bringing alive the glory of the past and the promise of the future.  To the interested, it handholds and offers a springboard to dive deep.  To the practitioner, it serves as a valuable resource bringing together in a panoramic view many diverse streams that adorn the landscape.
— Narendra M. Dixit, Professor, Indian Institute of Science

From the Author

This book has mostly emerged out of a course I have taught engineers from various disciplines at IIT Madras. Structured in four parts, it introduces the basics of modelling, going on to discuss static networks/graph theory, dynamic models (ODEs & Boolean models), constraint-based modelling (such as flux balance analysis), and ultimately more advanced topics including microbial community modelling, circuit design and robustness/evolvability. The presentation is kept simple to appeal to those from less quantitative backgrounds, but with enough attention to the math and theory for the interested practitioner.

About the Author

Dr. Karthik Raman is an Associate Professor at the Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras. He co-founded and co-ordinates the Initiative for Biological Systems Engineering and is a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI). He has been a researcher in the area of systems biology for the last 15+ years and has been teaching a course on systems biology for the last eight years, to (mostly) engineers from different backgrounds. His lab works on computational approaches to understand and manipulate biological networks, with applications in metabolic engineering and synthetic biology.