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Analysis of Biological Networks (Wiley Series in Bioinformatics)

Analysis of Biological Networks (Wiley Series in Bioinformatics)Authors: Björn H. Junker, Falk Schreiber
Publisher: Wiley-Interscience

List Price: $95.50
Buy New: $70.78
as of 11/23/2009 04:09 CST details
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New (21) Used (11) from $70.78

Seller: jchbooks_com
Sales Rank: 402415

Media: Hardcover
Pages: 368
Number Of Items: 1
Shipping Weight (lbs): 1.4
Dimensions (in): 9.3 x 6.3 x 1

ISBN: 0470041447
Dewey Decimal Number: 570.285
EAN: 9780470041444
ASIN: 0470041447

Publication Date: March 31, 2008
Availability: Usually ships in 1-2 business days

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  • Kindle Edition - Analysis of Biological Networks

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Product Description
An introduction to biological networks and methods for their analysis

Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks.

Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study.

This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research.




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