Korea Barcode of Life Database System (KBOL)

Sungmin Kim, Chang Bae Kim, Gi Sik Min, Youngbae Suh, Jong Bhak, Taeha Woo, Hyeyoung Koo, Jun Kil Choi, Mann Kyoon Shin, Jongwoo Jung, Kyo Hong Song, Han Il Ree, Ui Wook Hwang, Yungchul Park, Hae Seok Eo, Joopil Kim, Seong Myeong Yoon, Hyun Soo Rho, Sa Heung Kim, Hang LeeMi Sook Min, Jin Koo Kim, Chungja Sim, Yong Jin Won, Jongwook Lee, Soowon Cho, Ji Eun Seo, Seunghwan Lee, Jun Im Song, Ho Yeon Han, Sook Shin, Sung Joon Song, Joong Ki Park, Keeseon S. Eom, Jung Hee Park, Won Kim

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)11-19
Number of pages9
JournalAnimal Cells and Systems
Volume16
Issue number1
DOIs
StatePublished - Feb 2012

Keywords

  • DNA barcoding
  • Korea Barcode of Life database system (KBOL)
  • biodiversity
  • species identification

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