Ontologies for bioinformatics (Record no. 134001)

MARC details
000 -LEADER
fixed length control field 01685cam a22002414a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 050202s2006 maua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0262025914
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262025911
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.802 85
Item number BAC
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Baclawski, Kenneth
245 10 - TITLE STATEMENT
Title Ontologies for bioinformatics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cambridge :
Name of publisher, distributor, etc MIT Press,
Date of publication, distribution, etc 2006.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 424 p. ;
Other physical details ill.
Dimensions 24 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Computational molecular biology
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. [393]-412) and index.
520 1# - SUMMARY, ETC.
Summary, etc "The three parts of Ontologies for Bioinformatics ask, and answer, three pivotal questions: what ontologies are; how ontologies are used; and what ontologies could be (which focuses on how ontologies could be used for reasoning with uncertainty). The authors first introduce the notion of an ontology, from hierarchically organized ontologies to more general network organizations, and survey the best-known ontologies in biology and medicine. They show how to construct and use ontologies, classifying uses into three categories: querying, viewing, and transforming data to serve diverse purposes. Contrasting deductive, or Boolean, logic with inductive reasoning, they describe the goal of a synthesis that supports both styles of reasoning. They discuss Bayesian networks as a way of expressing uncertainty, describe data fusion, and propose that the World Wide Web can be extended to support reasoning with uncertainty. They call this inductive reasoning web the Bayesian web."--BOOK JACKET.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Methodology
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Biology
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Ontologies
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Niu, Tianhua
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Koha item type
          Bio-Technology Bangalore University Library Bangalore University Library ML 18/01/2016 3136.50   572.802 85 BAC 352029 18/01/2016 Books

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