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EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences

DC Field Value Language
dc.contributor.authorChun, Jong Sik-
dc.contributor.authorLee, Jae Hak-
dc.contributor.authorJung, Yoon Young-
dc.contributor.authorKim, Myung Jin-
dc.contributor.authorKim, Seil-
dc.contributor.authorKim, Byung Kwon-
dc.contributor.authorLim, Young Woon-
dc.date.accessioned2020-04-27T13:36:32Z-
dc.date.available2020-04-27T13:36:32Z-
dc.date.created2018-04-11-
dc.date.created2018-04-11-
dc.date.issued2007-10-
dc.identifier.citationInternational Journal of Systematic and Evolutionary Microbiology, Vol.57, pp.2259-2261-
dc.identifier.issn1466-5026-
dc.identifier.other30982-
dc.identifier.urihttps://hdl.handle.net/10371/166003-
dc.description.abstract16S rRNA gene sequences have been widely used for the identification of prokaryotes. However, the flood of sequences of non-type strains and the lack of a peer-reviewed database for 16S rRNA gene sequences of type strains have made routine identification of isolates difficult and labour-intensive. In the present study, we generated a database containing 16S rRNA gene sequences of all prokaryotic type strains. In addition, a web-based tool, named EzTaxon, for analysis of 16S rRNA gene sequences was constructed to achieve identification of isolates based on pairwise nucleoticle similarity values and phylogenetic inference methods. The system developed provides users with a similarity-based search, multiple sequence alignment and various phylogenetic analyses. All of these functions together with the 16S rRNA gene sequence database of type strains can be successfully used for automated and reliable identification of prokaryotic isolates.-
dc.language영어-
dc.publisherSociety for General Microbiology-
dc.titleEzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences-
dc.typeArticle-
dc.contributor.AlternativeAuthor임영운-
dc.contributor.AlternativeAuthor천종식-
dc.identifier.doi10.1099/ijs.0.64915-0-
dc.citation.journaltitleInternational Journal of Systematic and Evolutionary Microbiology-
dc.identifier.wosid000250654400013-
dc.identifier.scopusid2-s2.0-35648991375-
dc.citation.endpage2261-
dc.citation.startpage2259-
dc.citation.volume57-
dc.identifier.sci000250654400013-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorChun, Jong Sik-
dc.contributor.affiliatedAuthorLim, Young Woon-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusALIGNMENT-
dc.subject.keywordPlusTREES-
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