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Systems Biology: Volume I: Genomics
US $20.00
Approximately£15.06
Condition:
Like New
A book that has been read, but looks new. The book cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. May have no identifying marks on the inside cover. No wear and tear. See the seller’s listing for full details and description of any imperfections.
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Located in: Champaign, Illinois, United States
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eBay item number:226077475275
Item specifics
- Condition
- Binding
- Hardcover
- Product Group
- Book
- Subject Area
- System Biology
- Weight
- 1 lbs
- IsTextBook
- No
- ISBN
- 9780195300819
About this product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0195300815
ISBN-13
9780195300819
eBay Product ID (ePID)
48657582
Product Key Features
Number of Pages
336 Pages
Publication Name
Systems Biology : Genomics
Language
English
Publication Year
2006
Subject
Life Sciences / Genetics & Genomics
Type
Textbook
Subject Area
Science
Series
Series in Systems Biology Ser.
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
20.9 Oz
Item Length
6.3 in
Item Width
9.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2005-031826
Reviews
"The editors have assembled a fascinatingly diverse set of contributions by leading experts on topics ranging from sequence analysis, structural studies, and expression analysis to exploring molecular interaction networks, their influence on phenotypes, and their applications to fundamental problems such as physiology, development and evolution. These two volumes provide a well-timed and reasonably comprehensive account of major areas in the emerging subject ofsystems biology."--The Quarterly Review of Biology, "The editors have assembled a fascinatingly diverse set of contributions by leading experts on topics ranging from sequence analysis, structural studies, and expression analysis to exploring molecular interaction networks, their influence on phenotypes, and their applications to fundamental problems such as physiology, development and evolution. These two volumes provide a well-timed and reasonably comprehensive account of major areas in the emerging subject of systems biology."--The Quarterly Review of Biology, "The editors have assembled a fascinatingly diverse set of contributions by leading experts on topics ranging from sequence analysis, structural studies, and expression analysis to exploring molecular interaction networks, their influence on phenotypes, and their applications to fundamental problems such as physiology, development and evolution. These two volumes provide a well-timed and reasonably comprehensive account of major areas in the emerging subject of systems biology."-- The Quarterly Review of Biology
Number of Volumes
2 vols.
Volume Number
Vol. 1
Illustrated
Yes
Table Of Content
1. Prebiotic Chemistry on the Primitive Earth 32. Prebiotic Evolution and the Origin of Life: Is a System-Level Understanding Feasible? 573. Shotgun Fragment Assembly 794. Gene Finding 1185. Local Sequence Similarities 1546. Complete Prokaryotic Genomes: Reading and Comprehension 1667. Protein Structure Prediction 1878. DNA-Protein Interactions 2199. Some Computational Problems Associated with Horizontal Gene Transfer 24810. Noncoding RNA and RNA Regulatory Networks in the Systems Biology of Animals 269Index 303
Synopsis
The advent of genome sequencing and associated technologies has transformed biologists' ability to measure important classes of molecules and their interactions. This expanded cellular view has opened the field to thousands of interactions that previously were outside the researchers' reach. The processing and interpretation of these new vast quantities of interconnected data call for sophisticated mathematical models and computational methods. Systems biology meets this need by combining genomic knowledge with theoretical, experimental and computational approaches from a number of traditional scientific disciplines to create a mechanistic explanation of cellular systems and processes. Systems Biology I: Genomics and Systems Biology II: Networks, Models, and Applications offer a much-needed study of genomic principles and their associated networks and models. Written for a wide audience, each volume presents a timely compendium of essential information that is necessary for a comprehensive study of the subject. The chapters in the two volumes reflect the hierarchical nature of systems biology. Chapter authors-world-recognized experts in their fields-provide authoritative discussions on a wide range of topics along this hierarchy. Volume I explores issues pertaining to genomics that range from prebiotic chemistry to noncoding RNAs. Volume II covers an equally wide spectrum, from mass spectrometry to embryonic stem cells. The two volumes are meant to provide a reliable reference for students and researchers alike., Systems Biology is a powerful new computational approach to studying complex living systems. Unlike traditional biology that examines single genes or proteins in isolation, systems biology simultaneously explores the complex interaction of many levels of interaction, leading to a new understanding of how they work together., Familiar sciences of biology, physics, chemistry, cybernetics, and computational methods for dealing with vast new data sets of information at molecular and sub-molecular levels are morphing into new sciences. Some exist beneath our line of sight where laws of nature hover between Newtonian and quantum mechanics. New fields of cyber-, bio-, nanotechnology and systems biology raise arcane new concepts. The completed human genome has led to an explosion of interest in genetics and molecular biology. The view of the genome as a network of interacting computational components is well established and here writers explore it in new ways.These systemic approaches are timely in light of the availability of an increasing number of genomic sequences, and the generation of large volumes of biological data by high-throughput methods. Suitable for two-semesters of study, the works surveys genomics principles in the 13 chapters of Vol I, and networks and models in the 14 chapters of Vol II. Both, as a two-book set, will serve as core foundation titles for Dennis Shasha's Series in Systems Biology, establishing the principles and challenges for this emerging field of study. In each chapter world-renowned experts trail-blazing in their respective fields will review corresponding topics as well as current and planned research. Chapters will treat the integrated study and analysis of biological systems by use of data and information about the system components in their entirety, as opposed to the study of individual components in isolation. Systems Biology courses are popping up all over the place and biology, computer science, and bioinformatics programs are the primary potential takers. The editors plan books for a very wide audience, at the same time providing a comprehensive repository of up-to-date overviews and predictions for a number of inter-related sub-fields within this hierarchy. Intended readers include graduate students plus academic and professional researchers of genomics, bioinformatics, molecular biology, biochemistry, bioengineering, and computer systemic approaches to those fields. By comparison, Shasha's first Systems Biology Series title, Amos's Cellular Biology, is a book for technologists using biology as a vehicle to do something else, whereas this is a book about systems and related technologies in service to biologists. The volume editors plan to review or have reviewed, and to edit the invited chapters for content and consistent conceptual level, each chapter contributing uniquely to the key aspects of the Systems Biology hierarchy. A few chapter contents may date after two years, but the majority will endure for longer-term reference use because they treat methodologies and provide sample applications.
LC Classification Number
QH324.2.S97 2006
Item description from the seller
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