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KMID : 1161520120160010011
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Animal Cells and Systems
2012 Volume.16 No. 1 p.11 ~ p.19
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Korea Barcode of Life Database System (KBOL)
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Kim Sung-Min
Kim Chang-Bae
Min Gi-Sik
Suh Young-Bae
Bhak Jong
Woo Tae-Ha
Koo Hye-Young
Choi Jun-Kil
Shin Mann-Kyoon
Jung Jong-Woo
Song Kyo-Hong
Ree Han-Il
Hwang Ui-Wook
Park Yung-Chul
Eo Hae-Seok
Kim Joo-Pil
Yoon Seong-Myeong
Rho Hyun-Soo
Kim Sa-Heung
Lee Hang
Min Mi-Sook
Kim Jin-Koo
Sim Chung-Ja
Won Yong-Jin
Lee Jong-Wook
Cho Soo-Won
Seo Ji-Eun
Lee Seung-Hwan
Song Jun-Im
Han Ho-Yeon
Shin Sook
Song Sung-Joon
Park Joong-Ki
Eom Kee-Seon
Park Jung-Hee
Kim Won
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Abstract
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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.
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KEYWORD
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DNA barcoding, species identification, Korea Barcode of Life database system (KBOL), biodiversity
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FullTexts / Linksout information
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Listed journal information
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