Systems-Level Modelling of Microbial Communities: Theory and Practice, 1st Edition (Hardback) book cover

Systems-Level Modelling of Microbial Communities

Theory and Practice, 1st Edition

By Aarthi Ravikrishnan, Karthik Raman

CRC Press

88 pages | 5 B/W Illus.

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Hardback: 9781138596719
pub: 2018-09-25
eBook (VitalSource) : 9780429487484
pub: 2018-09-06
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Systems-Level Modelling of Microbial Communities: Theory and Practice introduces various aspects of modelling microbial communities and presents a detailed overview of the computational methods which have been developed in this area. This book is aimed at researchers in the field of computational/systems biology as well as biologists/experimentalists studying microbial communities, who are keen on embracing the concepts of computational modelling. The primary focus of this book is on methods for modelling interactions between micro-organisms in a community, with special emphasis on constraint-based and network-based modelling techniques. A brief overview of population- and agent-based modelling is also presented. Lastly, it covers the experimental methods to understand microbial communities, and provides an outlook on how the field may evolve in the coming years.


"The study of microbiomes and microbial communities has grown exponentially in recent years due to the amazing implications they have for things we, humans, care a lot about, such as health or the environment. This book, Systems-level modelling of microbial communities: theory and practice, brilliantly covers the latest advances in experimental and modelling techniques, which makes it essential for everyone from newcomers to the field to reputed experts."

-Rodrigo Ledesma-Amaro, Imperial College London

Table of Contents

Chapter 1 □ Introduction to microbial communities

Chapter 2 □ Networkbased modelling of microbial communities

Chapter 3 □ Populationand agentbased modelling of microbial communities

Chapter 4 □ Constraintbased modelling of microbial communities

Chapter 5 □ Experimental techniques to understand

Chapter 6 □ Outlook

About the Authors

Aarthi Ravikrishnan is a senior graduate student at the Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras. She works on integrating computational and experimental approaches to understand microbial interactions in communities.

Karthik Raman is an Associate Professor at the Bhupat and Jyoti Mehta School of Biosciences, IIT Madras. He also coordinates the Initiative for Biological Systems Engineering and is a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence at IIT Madras. His group works on computational approaches to understand and manipulate biological networks, with a focus on applications in metabolic engineering.

About the Series

Focus Computational Biology Series

This series aims to capture new developments in computational biology and bioinformatics in concise form. It seeks to encourage the rapid and wide dissemination of material for emerging topics and areas that are evolving quickly. The titles included in the series are meant to appeal to students, researchers, and professionals involved in the field. The inclusion of concrete examples and applications, and programming techniques and examples, is highly encouraged.

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
SCIENCE / Life Sciences / Biology / General
SCIENCE / Biotechnology