Systems-Level Modelling of Microbial Communities

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A01=Aarthi Ravikrishnan
A01=Karthik Raman
agent-based simulation
AP PR
Author_Aarthi Ravikrishnan
Author_Karthik Raman
biological networks
Category=PHVN
Category=PS
Category=PSB
Category=PSD
Category=UYD
computational microbiology
Constraint Based Modelling
ecological modelling
Enzyme DNA Polymerase
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FBA
Gel Electrophoresis Denaturing Gradient Gel
Genes Encoding Green Fluorescence Protein
Gut Microbiota
Jaccard Index
Metabolic Networks
Metagenomic Data
Metagenomic Sequences
Microbial Communities
Microbial Consortium
microbial genomics
microbial interaction analysis
Mouse Gastrointestinal Tract
multi-species metabolic modelling
Mycoplasma Genitalium
network biology
OA CH
population dynamics research
QS Mechanism
Sample SA
SCC
Short DNA Sequence
Stoichiometric Matrix
SYBR Green
synthetic biology
systems biology methods
Target DNA Sequence
Te Ch
Undirected Graph

Product details

  • ISBN 9781032241791
  • Weight: 127g
  • Dimensions: 138 x 216mm
  • Publication Date: 13 Dec 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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