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Introduction to Systems Biology

Workbook for Flipped-classroom Teaching

by Thomas Sauter, Marco Albrecht

Introduction to Systems Biology

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Book Description

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.

This open book is licensed under a Creative Commons License (CC BY). You can download Introduction to Systems Biology ebook for free in PDF format (26.0 MB).

Table of Contents

Chapter 1
Biochemical networks in the matrix form
Chapter 2
Metabolic modeling
Chapter 3
The magic of change and how to find it
Chapter 4
Physical modeling and non-linear enzyme

Book Details

Introduction to Systems Biology
Open Book Publishers
ISBN13 Digital
ISBN10 Digital
PDF Size
26.0 MB

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