Case Studies in Systems Biology

Case Studies in Systems Biology PDF Author: Pavel Kraikivski
Publisher: Springer
ISBN: 9783030677442
Category : Science
Languages : en
Pages : 0

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Book Description
This book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relevant details with regard to cell physiology and molecular mechanisms? How are the details put together into a mathematical model? How is the model analyzed and simulated? What are the results of the model? How do they compare to the known facts of the cell physiology? Does the model make predictions? What can be done to extend the model? The book presents a summary of results and references to more relevant sources. The volume contains the classic collection of topics and studies that are well established yet novel in the systems biology field.

Case Studies in Systems Biology

Case Studies in Systems Biology PDF Author: Pavel Kraikivski
Publisher: Springer Nature
ISBN: 3030677427
Category : Science
Languages : en
Pages : 310

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Book Description
This book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relevant details with regard to cell physiology and molecular mechanisms? How are the details put together into a mathematical model? How is the model analyzed and simulated? What are the results of the model? How do they compare to the known facts of the cell physiology? Does the model make predictions? What can be done to extend the model? The book presents a summary of results and references to more relevant sources. The volume contains the classic collection of topics and studies that are well established yet novel in the systems biology field.

A First Course in Systems Biology

A First Course in Systems Biology PDF Author: Eberhard Voit
Publisher: Garland Science
ISBN: 1351332945
Category : Computers
Languages : en
Pages : 481

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Book Description
A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means. New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection.

Concepts and Case Studies in Chemical Biology

Concepts and Case Studies in Chemical Biology PDF Author: Herbert Waldmann
Publisher: John Wiley & Sons
ISBN: 3527336117
Category : Science
Languages : en
Pages : 468

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Book Description
Retaining the proven didactic concept of the successful "Chemical Biology - Learning through Case Studies", this sequel features 27 new case studies, reflecting the rapid growth in this interdisciplinary topic over the past few years. Edited by two of the world's leading researchers in the field, this textbook introduces students and researchers to the modern approaches in chemical biology, as well as important results, and the techniques and methods applied. Each chapter presents a different biological problem taken from everyday lab work, elucidated by an international team of renowned scientists. With its broad coverage, this is a valuable source of information for students, graduate students, and researchers working on the borderline between chemistry, biology, and biochemistry.

Feedback Control in Systems Biology

Feedback Control in Systems Biology PDF Author: Carlo Cosentino
Publisher: CRC Press
ISBN: 1439816905
Category : Mathematics
Languages : en
Pages : 298

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Book Description
Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty—such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedback, and research in systems biology over the past decade has shown that feedback control systems are widely found in biology. As an increasing number of researchers in the life sciences become interested in control-theoretic ideas such as feedback, stability, noise and disturbance attenuation, and robustness, there is a need for a text that explains feedback control as it applies to biological systems. Written by established researchers in both control engineering and systems biology, Feedback Control in Systems Biology explains how feedback control concepts can be applied to systems biology. Filling the need for a text on control theory for systems biologists, it provides an overview of relevant ideas and methods from control engineering and illustrates their application to the analysis of biological systems with case studies in cellular and molecular biology. Control Theory for Systems Biologists The book focuses on the fundamental concepts used to analyze the effects of feedback in biological control systems, rather than the control system design methods that form the core of most control textbooks. In addition, the authors do not assume that readers are familiar with control theory. They focus on "control applications" such as metabolic and gene-regulatory networks rather than aircraft, robots, or engines, and on mathematical models derived from classical reaction kinetics rather than classical mechanics. Another significant feature of the book is that it discusses nonlinear systems, an understanding of which is crucial for systems biologists because of the highly nonlinear nature of biological systems. The authors cover tools and techniques for the analysis of linear and nonlinear systems; negative and positive feedback; robustness analysis methods; techniques for the reverse-engineering of biological interaction networks; and the analysis of stochastic biological control systems. They also identify new research directions for control theory inspired by the dynamic characteristics of biological systems. A valuable reference for researchers, this text offers a sound starting point for scientists entering this fascinating and rapidly developing field.

Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities PDF Author: Rebecca Sanft
Publisher: Academic Press
ISBN: 0128195959
Category : Science
Languages : en
Pages : 260

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Book Description
Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken by students majoring in mathematics, computer science or in the life sciences. The book's cases and lab exercises focus on hypothesis testing and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a problem, understand assumptions, and the meaning of their results. The experiential components provide hands-on learning both in the lab and on the computer. As a beginning text in modeling, readers will learn to value the approach and apply competencies in other settings. Included case studies focus on building a model to solve a particular biological problem from concept and translation into a mathematical form, to validating the parameters, testing the quality of the model and finally interpreting the outcome in biological terms. The book also shows how particular mathematical approaches are adapted to a variety of problems at multiple biological scales. Finally, the labs bring the biological problems and the practical issues of collecting data to actually test the model and/or adapting the mathematics to the data that can be collected.

Stochastic Approaches for Systems Biology

Stochastic Approaches for Systems Biology PDF Author: Mukhtar Ullah
Publisher: Springer Science & Business Media
ISBN: 1461404789
Category : Mathematics
Languages : en
Pages : 319

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Book Description
This textbook focuses on stochastic analysis in systems biology containing both the theory and application. While the authors provide a review of probability and random variables, subsequent notions of biochemical reaction systems and the relevant concepts of probability theory are introduced side by side. This leads to an intuitive and easy-to-follow presentation of stochastic framework for modeling subcellular biochemical systems. In particular, the authors make an effort to show how the notion of propensity, the chemical master equation and the stochastic simulation algorithm arise as consequences of the Markov property. The text contains many illustrations, examples and exercises to illustrate the ideas and methods that are introduced. Matlab code is also provided where appropriate. Additionally, the cell cycle is introduced as a more complex case study. Senior undergraduate and graduate students in mathematics and physics as well as researchers working in the area of systems biology, bioinformatics and related areas will find this text useful.

Cancer Systems Biology

Cancer Systems Biology PDF Author: Edwin Wang
Publisher: CRC Press
ISBN: 1439811865
Category : Computers
Languages : en
Pages : 458

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Book Description
The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorgenesis, cancer research is enjoying a series of new discoveries and biological insights. Unique in its dualistic approach, this book introduces the concepts and theories of systems biology and their applications in cancer research. It presents basic cancer biology and cutting-edge topics of cancer research for computational biologists alongside systems biology analysis tools for experimental biologists.

Case Studies in Cell Biology

Case Studies in Cell Biology PDF Author: Merri Lynn Casem
Publisher: Academic Press
ISBN: 0128016841
Category : Science
Languages : en
Pages : 408

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Book Description
Case Studies in Cell Biology presents real world scenarios to help readers use science process and reasoning skills. The case studies require application and analyzation of concepts beyond rote memory of biological concepts. The book is based on the student learning outcomes from the American Society for Cell Biology, offering practical application for both the classroom and research laboratory. - Guides the reader in applying knowledge directly to real world scenarios - Includes case studies to bridge foundational cell biological concepts to translational science - Aids students in synthesizing information and applying science processes

Weighted Network Analysis

Weighted Network Analysis PDF Author: Steve Horvath
Publisher: Springer Science & Business Media
ISBN: 144198819X
Category : Science
Languages : en
Pages : 433

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Book Description
High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.