Ontologies for bioinformatics
Material type:
TextSeries: Computational molecular biologyPublication details: Cambridge : MIT Press, 2006Description: xiv, 424 p. ; ill. 24 cmISBN: 0262025914 ; 9780262025911Subject(s): Bioinformatics | Methodology | Computational Biology | OntologiesDDC classification: 572.802 85 Review: "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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Books
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Bangalore University Library ML | Bio-Technology | 572.802 85 BAC (Browse shelf (Opens below)) | Available | 352029 |
Browsing Bangalore University Library shelves, Shelving location: ML, Collection: Bio-Technology Close shelf browser (Hides shelf browser)
| 572.6 LIL Microwave assisted proteomics | 572.633 BAI Protein folding protocols | 572.8 JEY Molecular biology | 572.802 85 BAC Ontologies for bioinformatics | 572.865 WIL Post transcriptional gene regulation | 576 MAN Principles of microbiology | 576.15 MOH Textbook of environmental microbiology |
Includes bibliographical references (p. [393]-412) and index.
"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.
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