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Functional Coherence of Molecular Networks in Bioinformatics (Record no. 17405)

000 -LEADER
fixed length control field 03885nam a22004815i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310150235.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110921s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461403203
978-1-4614-0320-3
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH301-705
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2012.
912 ## -
-- ZDB-2-SBL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Koyutürk, Mehmet.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Functional Coherence of Molecular Networks in Bioinformatics
Medium [electronic resource] /
Statement of responsibility, etc edited by Mehmet Koyutürk, Shankar Subramaniam, Ananth Grama.
300 ## - PHYSICAL DESCRIPTION
Extent X, 228p. 52 illus., 35 illus. in color.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to Network Biology -- Topological Characteristics of Molecular Networks -- Functional Annotation in Gene Networks -- Proteome Network Emulating Models -- Biological Network Alignment -- Pattern Mining across many Massive Biological Networks -- Molecular Networks and Complex Diseases -- Moving Towards Genome-Scale Kinetic Models: The Mass Action Stoichiometric Simulation Approach -- Index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Life sciences.
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Bioinformatics.
Topical term or geographic name as entry element Biological models.
Topical term or geographic name as entry element Biomedical engineering.
Topical term or geographic name as entry element Life Sciences.
Topical term or geographic name as entry element Systems Biology.
Topical term or geographic name as entry element Computational Biology/Bioinformatics.
Topical term or geographic name as entry element Computer Science, general.
Topical term or geographic name as entry element Biomedical Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Subramaniam, Shankar.
Relator term editor.
Personal name Grama, Ananth.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461403197
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-0320-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-04AUM Main Library2014-04-04 2014-04-04 E-Book   AUM Main Library570

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