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dc.contributor.authorLiew, AWC
dc.contributor.authorYan, H
dc.contributor.authorYang, M
dc.contributor.editorChen, Yi-Ping Phoebe
dc.date.accessioned2017-05-03T15:20:43Z
dc.date.available2017-05-03T15:20:43Z
dc.date.issued2005
dc.date.modified2009-07-29T06:07:19Z
dc.identifier.isbn9783540208730
dc.identifier.doi10.1007/3-540-26888-X_4
dc.identifier.urihttp://hdl.handle.net/10072/24902
dc.description.abstractIn this chapter, we discuss the analysis of biomedical, DNA, and protein data. A detailed discussion is made on the major databases, such as the nucleotide sequence database, the protein sequence database, and the gene expression database. In order to make use of the data from these databases, efficient software tools are needed to retrieve data, compare biological sequences, discover patterns, and visualize the discovered knowledge. The most widely used tools are also covered.
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer-Verlag
dc.publisher.placeUSA
dc.relation.ispartofbooktitleBioinformatics Technologies
dc.relation.ispartofchapter4
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom63
dc.relation.ispartofpageto116
dc.rights.retentionY
dc.subject.fieldofresearchcode270201
dc.subject.fieldofresearchcode280207
dc.titleData Mining for Bioinformatics
dc.typeBook chapter
dc.type.descriptionB2 - Chapters (Other)
dc.type.codeB - Book Chapters
gro.date.issued2005
gro.hasfulltextNo Full Text
gro.griffith.authorLiew, Alan Wee-Chung


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