Introduction to Systems Biology : : Workbook for Flipped-Classroom Teaching / / Thomas Sauter, Marco Albrecht.

This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, m...

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Place / Publishing House:Cambridge, UK : : Open Book Publishers,, 2023.
©2023
Year of Publication:2023
Language:English
Physical Description:1 online resource (viii, 162 pages) :; illustrations
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520 |a This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science. 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- Biochemcial networks in the matrix form -- Metabolic modeling -- The magic of change and how to find it -- Physical modeling and non-linear enzyme kinetics. 
650 0 |a System analysis. 
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