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Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria (Record no. 17560)

000 -LEADER
fixed length control field 02491nam a22004815i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310150237.0
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 120727s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461447054
978-1-4614-4705-4
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 :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-SBL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Muley, Vijaykumar Yogesh.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria
Medium [electronic resource] /
Statement of responsibility, etc by Vijaykumar Yogesh Muley, Vishal Acharya.
300 ## - PHYSICAL DESCRIPTION
Extent X, 60 p. 19 illus., 12 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title SpringerBriefs in Systems Biology,
International Standard Serial Number 2193-4746 ;
Volume number/sequential designation 2
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- From genomes to protein functions -- Co-evolutionary signals within genome sequences reflect functional dependence of proteins -- Chromosomal proximity of genes as an indicator of functional linkage -- Analyses of complex genome-scale biological networks -- Applications of protein interaction networks.
520 ## - SUMMARY, ETC.
Summary, etc Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus on protein-protein interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and complexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function.
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 Human genetics.
Topical term or geographic name as entry element Proteomics.
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 Life Sciences.
Topical term or geographic name as entry element Systems Biology.
Topical term or geographic name as entry element Bioinformatics.
Topical term or geographic name as entry element Human Genetics.
Topical term or geographic name as entry element Proteomics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Acharya, Vishal.
Relator term author.
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 9781461447047
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-4705-4
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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العربية