Systems-Level Modelling of Microbial Communities

1. Auflage 2018
ISBN: 978-1-138-59671-9
Verlag: CRC Press

Buch, Englisch, 100 Seiten, Format (B × H): 140 mm x 210 mm, Gewicht: 252 g

Reihe: Focus Computational Biology Series

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.

Autoren/Hrsg.

Ravikrishnan, Aarthi

Raman, Karthik

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

Preface

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

Bibilography. Index

Über Autor(innen)

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.