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Bio-Chemistry



Book Title : Systems Biology in Practice
eBook download format(s) : HTM
ISBN-10 : 3527310789 
ISBN-13 : 978-3-527310-78-4 
Author(s) : Edda Klipp Ralf Herwig Axel Kowald Christoph Wierling Hans Lehrach 
Publisher : John Wiley & Sons (06 May 2005)
Section : Bio-Chemistry
Book Review:

Review
"This is a timely volume that should be welcomed both by practising systems biologists and by newcomers to the field. ... I expect to consult it regularly over the foreseeable future, and I am confident that biologists everywhere will benefit from having a copy to hand."
Theoretical Biology and Medical Modelling

"The authors manage to cover an astoundingly wide range of topics and to present the great potential of systems biology to the reader. The first introductory part makes it an ideal book for researchers from neighbouring disciplines, who benefit from the compact and clearly written basics in biology and mathematics. But the main area of application will be as textbook for the growing number of students interested in bioinformatics, systems biology and theoretical biology. With its 14 chapters, 450 pages and many diagrams and examples it provides plenty of material for lecturing."
Arzneimittel-Forschung/Drug Research


Book Description
Presenting the main concepts, this book leads students as well as advanced researchers from different disciplines to an understanding of current ideas in the complex field of comprehensive experimental investigation of biological objects, analysis of data, development of models, simulation, and hypothesis generation. It provides readers with guidance on how a specific complex biological question may be tackled: How to formulate questions that can be answered Which experiments to perform Where to find information in databases and on the internet What kinds of models are appropriate How to use simulation tools What can be learned from the comparison of experimental data and modeling results How to make testable predictions. The authors demonstrate how mathematical concepts can illuminate the principles underlying biology at a genetic, molecular, cellular and even organism level, and how to use mathematical tools for analysis and prediction.




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