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Systems Biology Modelling and Analysis

Formal Bioinformatics Methods and Tools
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Systems Biology Modelling and Analysis delves into the intricate world of systems biology, focusing on the development of computational and mathematical models to understand complex biological systems. It addresses cutting-edge tools and methodologies for analysing biological data, bridging the gap between theoretical concepts and practical applications. This book is ideal for readers interested in the dynamic intersection of biology and technology.
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Format: Hardback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you're intrigued by the intricacies of biological systems and enjoy exploring how advanced computational methods can be applied to model and analyse these complex networks. It's an engaging choice for those who seek to enhance their understanding of the synergy between biology and technology.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Systems Biology Modelling and Analysis describes important modelling and computational methods for systems biology research to enable practitioners to select and use the most suitable technique.

Systems Biology Modelling and Analysis provides an overview of state-of-the-art techniques and introduces related tools and practices to formalise models and automate reasoning for systems biology. The authors present and compare the main formal methods used in systems biology for modelling biological networks, including discussion of their advantages, drawbacks, and main applications.

Each chapter includes an intuitive presentation of the specific formalism, a brief history of the formalism and of its applications in systems biology, a formal description of the formalism and its variants, at least one realistic case study, some applications of formal techniques to validate and conduct deep analysis of models encoded with the formalism, and a discussion on the kind of biological systems for which the formalism is suited, along with concrete ideas on its possible evolution.

Edited by a highly qualified expert with significant experience in the field, some of the methods and techniques covered in Systems Biology Modelling and Analysis include:

  • Petri nets, an important tool for studying different aspects of biological systems, ranging from simple signalling pathways to metabolic networks and beyond.
  • Pathway Logic, a formal, rule-based system and interactive viewer for developing executable models of cellular processes.
  • Boolean networks, a mathematical model which has been widely used for decades in the context of biological regulation networks.
  • Answer Set Programming (ASP), which has proven to be a strong logic programming paradigm to deal with the inherent complexity of biological models.

For systems biologists, biochemists, bioinformaticians, molecular biologists, pharmacologists, and computer scientists, Systems Biology Modelling and Analysis is a comprehensive all-in-one resource to understand and harness the field’s current models and techniques while also preparing for their potential developments in coming years with the help of the author’s expert insight.

Book Details

INFORMATION

ISBN: 9781119716532

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 08 November 2022

Country: United States

Imprint: John Wiley & Sons Inc

Contributors:

  • Edited by Elisabetta De Maria

Audience: Professional and scholarly

DIMENSIONS

Weight: 809g

Pages: 464

About the Author

Elisabetta De Maria, PhD, is an Associate Professor at the UniversitΓ© CΓ΄te d’Azur. From 2011–13, she was Coordinator of the International Research Master Program β€œComputational Biology and Biomedicine” at the University of Nice-Sophia Antipolis. Dr. De Maria has expertise in bioinformatics and computational systems biology and served as program chair of the conferences BIOINFORMATICS 2019, CSBio 2019 (International Conference on Computational Systems-Biology and Bioinformatics), and BIOINFORMATICS 2020.

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