Functional Coherence of Molecular Networks in Bioinformatics
Language: English
Published by Humana, 2014
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 263.66
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.
Seller Inventory # 9781489996404
- Title
- Functional Coherence of Molecular Networks in Bioinformatics
- Author
- Mehmet Koyutürk
- Publisher
- Humana
- Publication year
- 2014
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1489996400
- ISBN 13
- 9781489996404
- Item weight
- 371 grams
- Dimensions
- 235x155x14 mm
Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.
"Synopsis" may belong to another edition of this title.
From the Back Cover
A fundamental problem in life sciences is the characterization of biological function. In medical sciences, understanding the bases of functional anomalies holds the key to effective diagnosis, treatment, and prognosis; in genetics, functional annotation of genetic variability uncovers the complex relationship between genotype and phenotype; in evolutionary biology, functional differences between diverse organisms highlight the evolutionary mechanisms that underlie the complexity of biological systems. With the successful completion of the human genome project and recent technological advances in biological data collection, it has become possible to study biological function from a systems perspective. Today, Systems Biology is established as a fundamental interdisciplinary science, which focuses on systematic study of the complex mechanisms that orchestrate the cooperation between diverse molecules that compose life.
In the study of biological systems, the complex interactions between biomolecules are often abstracted using network models. Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks provides the basis for systems level analysis of biological function. Research and method development for such analyses has grown tremendously in the past few years. This volume provides a detailed overview of existing knowledge on the functional characterization of biological networks. In eight chapters authored by an international group of systems biology and bioinformatics researchers, functional coherence of molecular networks is comprehensively explored from various perspectives, including network topology, modularity, functional inference, evolution, phenotype, disease, network dynamics, and molecular kinetics."About the title" may belong to another edition of this title.
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