Korea Barcode of Life Database System (KBOL) SCIE SCOPUS KCI

DC Field Value Language
dc.contributor.author Kim, Sungmin -
dc.contributor.author Kim, Chang-Bae -
dc.contributor.author Min, Gi-Sik -
dc.contributor.author Suh, Youngbae -
dc.contributor.author Bhak, Jong -
dc.contributor.author Woo, Taeha -
dc.contributor.author Koo, Hyeyoung -
dc.contributor.author Choi, Jun-Kil -
dc.contributor.author Shin, Mann Kyoon -
dc.contributor.author Jung, Jongwoo -
dc.contributor.author Song, Kyo-Hong -
dc.contributor.author Ree, Han-Il -
dc.contributor.author Hwang, Ui Wook -
dc.contributor.author Park, Yungchul -
dc.contributor.author Eo, Hae-Seok -
dc.contributor.author Kim, Joopil -
dc.contributor.author Yoon, Seong Myeong -
dc.contributor.author Rho, Hyun Soo -
dc.contributor.author Kim, Sa Heung -
dc.contributor.author Lee, Hang -
dc.contributor.author Min, Mi-Sook -
dc.contributor.author Kim, Jin Koo -
dc.contributor.author Sim, Chungja -
dc.contributor.author Won, Yong-Jin -
dc.contributor.author Lee, Jongwook -
dc.contributor.author Cho, Soowon -
dc.contributor.author Seo, Ji Eun -
dc.contributor.author Lee, Seunghwan -
dc.contributor.author Song, Jun-Im -
dc.contributor.author Han, Ho-Yeon -
dc.contributor.author Shin, Sook -
dc.contributor.author Song, Sung Joon -
dc.contributor.author Park, Joong-Ki -
dc.contributor.author Eom, Keeseon S. -
dc.contributor.author Park, Jung Hee -
dc.contributor.author Kim, Won -
dc.date.accessioned 2020-04-20T06:55:42Z -
dc.date.available 2020-04-20T06:55:42Z -
dc.date.created 2020-01-28 -
dc.date.issued 2012-02 -
dc.identifier.issn 1976-8354 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/3640 -
dc.description.abstract A major concern regarding the collection and storage of biodiversity information is the inefficiency of conventional taxonomic approaches in dealing with a large number of species. This inefficiency has increased the demand for automated, rapid, and reliable molecular identification systems and large-scale biological databases. DNA-based taxonomic approaches are now arguably a necessity in biodiversity studies. In particular, DNA barcoding using short DNA sequences provides an effective molecular tool for species identification. We constructed a large-scale database system that holds a collection of 5531 barcode sequences from 2429 Korean species. The Korea Barcode of Life database (KBOL, http://koreabarcode.org) is a web-based database system that is used for compiling a high volume of DNA barcode data and identifying unknown biological specimens. With the KBOL system, users can not only link DNA barcodes and biological information but can also undertake conservation activities, including environmental management, monitoring, and detecting significant organisms. -
dc.description.uri 1 -
dc.language English -
dc.publisher TAYLOR & FRANCIS LTD -
dc.subject DNA BARCODES -
dc.subject TAXONOMY -
dc.subject UTILITY -
dc.title Korea Barcode of Life Database System (KBOL) -
dc.type Article -
dc.citation.endPage 19 -
dc.citation.startPage 11 -
dc.citation.title ANIMAL CELLS AND SYSTEMS -
dc.citation.volume 16 -
dc.citation.number 1 -
dc.identifier.bibliographicCitation ANIMAL CELLS AND SYSTEMS, v.16, no.1, pp.11 - 19 -
dc.identifier.doi 10.1080/19768354.2011.607513 -
dc.identifier.scopusid 2-s2.0-84863151503 -
dc.identifier.wosid 000301705600002 -
dc.type.docType Article -
dc.identifier.kciid ART001633859 -
dc.description.journalClass 1 -
dc.subject.keywordPlus HIDDEN MARKOV-MODELS -
dc.subject.keywordPlus DNA BARCODES -
dc.subject.keywordPlus MITOCHONDRIAL PSEUDOGENES -
dc.subject.keywordPlus TAXONOMY -
dc.subject.keywordPlus UTILITY -
dc.subject.keywordAuthor DNA barcoding -
dc.subject.keywordAuthor species identification -
dc.subject.keywordAuthor Korea Barcode of Life database system (KBOL) -
dc.subject.keywordAuthor biodiversity -
dc.relation.journalWebOfScienceCategory Cell Biology -
dc.relation.journalWebOfScienceCategory Zoology -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
dc.relation.journalResearchArea Cell Biology -
dc.relation.journalResearchArea Zoology -
Appears in Collections:
East Sea Research Institute > East Sea Environment Research Center > 1. Journal Articles
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