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  Systems Biology: A Textbook

Klipp, E., Liebermeister, W., Wierling, C., Kowald, A., Lehrach, H., & Herwig, R. (2009). Systems Biology: A Textbook (1st edition). Weinheim: Wiley-VCH.

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 Creators:
Klipp, Edda1, Author           
Liebermeister, Wolfram, Author
Wierling, Christoph2, Author           
Kowald, Axel1, Author           
Lehrach, Hans3, Author           
Herwig, Ralf4, Author           
Affiliations:
1Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433554              
2Systems Biology (Christoph Wierling), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479656              
3Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              
4Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              

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Free keywords: Systems biology
 Abstract: Systems biology is a highly topical discipline at the intersection of biochemistry, cell biology, computer science, and systems engineering. This course book in systems biology is tailored to the needs of advanced students of biology, engineering, and computer science. It has a companion website with solutions to questions in the book, additional chapters, and computer implementations of systems biology models. The book is a follow-up of the very successful Systems Biology in Practice and incorporates the feedback and suggestions of many lecturers worldwide. The interdisciplinary team of acclaimed authors have worked closely together to ensure a comprehensive coverage of the topic in a fluent and compelling style.

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Language(s): eng - English
 Dates: 2009-06-01
 Publication Status: Issued
 Pages: XXI, 569 pp: Ill., graphs.
 Publishing info: Weinheim : Wiley-VCH, 1st edition
 Table of Contents: INTRODUCTION TO SYSTEMS BIOLOGY
Introduction
Modeling of Biochemical Systems
Specific Biochemical Systems
Model Fitting
Analysis of High-throughput Data
Gene Expression Models
Stochastic Systems and Variability
Network Structures, Dynamics, and Function
Optimality and Evolution
BIOLOGICAL AND MATHEMATICAL FUNDAMENTALS AND METHODS
Cell Biology
Experimental Techniques in Molecular Biology
Mathematics
Statistics
Stochastic Processes
Linear Control Systems
Databases
Modeling Tools
 Rev. Type: -
 Identifiers: eDoc: 457099
URI: http://www.gbv.de/dms/ilmenau/toc/577659103.PDF
ISBN: 978-3-527-31874-2
 Degree: -

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