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E-raamat: Introduction to Biological Networks

  • Formaat: 335 pages
  • Ilmumisaeg: 19-Apr-2016
  • Kirjastus: Chapman & Hall/CRC
  • Keel: eng
  • ISBN-13: 9781040078402
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  • Formaat: 335 pages
  • Ilmumisaeg: 19-Apr-2016
  • Kirjastus: Chapman & Hall/CRC
  • Keel: eng
  • ISBN-13: 9781040078402
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The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network biology for physical scientists and biologists involved in interdisciplinary research.





The book focuses on the concept of molecular and genetic interaction networks as a paradigm for interpreting the complexity of molecular biology at a genomic scale. The authors describe the experimental methods used to discover and test networks of interaction among biological molecules. They also present computational methods for predicting the interaction networks, discuss general mechanisms of network formation and evolution, and explore the application of network approaches to important problems in biology and medicine.





With many examples throughout and clear explanations of key concepts, this book is the first to offer a broad treatment of genomics-inspired network biology with sufficient mathematical and biological rigor. It gives readers a conceptual understanding of this burgeoning scientific field.

Arvustused

"Raval and Ray provide a comprehensive and modern exposition of a rapidly evolving field: network biology. This text will help biology, mathematics, and computer science students alike to become acquainted with the history and frontiers of research in this exciting area." -Joshua B. Plotkin, University of Pennsylvania "Finally a book has arrived that describes the basics of biological complexity. Written by leading scientists Raval and Ray, it provides a scholarly account of the concepts of network theory. It describes in great detail the experimental and computational methods for identifying and predicting biological networks and reveals how network analysis can be applied to solve fundamental questions in biology and medicine. Introduction to Biological Networks is easily the best read available on this important and rapidly developing field." -Cornelis Murre, University of California-San Diego, La Jolla, USA

The Living Interactome. Experimental Inference of Interactions.
Prediction of Physical Interactions. Metabolic Networks and Genetic
Interactions. Testing Inferred Networks. Small Model Networks. Tractable
Models of Large Networks. Network Modularity and Robustness. Networks and
Disease.
Raval, Alpan; Ray, Animesh