MARC record from Internet Archive

LEADER: 04985cam 22008294a 4500
001 ocm57625716
003 OCoLC
005 20200518214900.0
008 050202s2006 maua b 001 0 eng
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082 00 $a572.8/0285$222
084 $a42.11$2bcl
084 $aBIO 110f$2stub
100 1 $aBaclawski, Kenneth.
245 10 $aOntologies for bioinformatics /$cKenneth Baclawski, Tianhua Niu.
260 $aCambridge, Mass. :$bMIT Press,$c℗♭2006.
300 $axiv, 424 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aComputational molecular biology
504 $aIncludes bibliographical references (pages 393-412) and index.
505 00 $gI.$tIntroduction to ontologies --$g1.$tHierarchies and relationships --$g2.$tXML semantics --$g3.$tRules and inference --$g4.$tThe semantic Web and bioinformatics applications --$g5.$tSurvey of ontologies in bioinformatics --$gII.$tBuilding and using ontologies --$g6.$tInformation retrieval --$g7.$tSequence similarity searching tools --$g8.$tQuery languages --$g9.$tThe transformation process --$g10.$tTransforming with traditional programming languages --$g11.$tThe XML transformation language --$g12.$tBuilding bioinformatics ontologies --$gIII.$tReasoning with uncertainty --$g13.$tInductive vs. deductive reasoning --$g14.$tBayesian networks --$g15.$tCombining information --$g16.$tThe Bayesian Web --$g17.$tAnswers to selected exercises.
520 1 $a"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.
520 8 $aThey 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."--Jacket.
650 0 $aBioinformatics$xMethodology.
650 12 $aComputational Biology$xmethods.
650 6 $aBio-informatique$xMe thodologie.
650 7 $aBioinformatics$xMethodology.$2fast$0(OCoLC)fst00832182
650 17 $aBio-informatica.$2gtt
650 17 $aOntologiee n (informatiewetenschap)$2gtt
650 7 $aBioinformatik$2gnd
650 7 $aMethodologie$2gnd
650 7 $aOntologie$gWissensverarbeitung$2gnd
650 7 $aBioinformatik.$2sao
650 7 $aOntologier (datavetenskap)$2sao
650 07 $aBioinformatik.$2swd
650 07 $aMethodologie.$2swd
650 07 $aOntologie (Wissensverarbeitung)$2swd
700 1 $aNiu, Tianhua.
776 08 $iOnline version:$aBaclawski, Kenneth.$tOntologies for bioinformatics.$dCambridge, Mass. : MIT Press, ℗♭2006$w(OCoLC)607752540
830 0 $aComputational molecular biology.
856 41 $3Table of contents$uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=014710151&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
856 41 $3Table of contents$uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014710151&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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