Introduction to Biological Networks
Autor Alpan Raval, Animesh Rayen Limba Engleză Paperback – 19 sep 2019
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.
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Specificații
ISBN-13: 9780367380137
ISBN-10: 0367380137
Pagini: 335
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.48 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 0367380137
Pagini: 335
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.48 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
Academic and Professional Practice & DevelopmentCuprins
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.
Descriere
With many examples throughout and clear explanations of key concepts, this book focuses on the 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.