Korea Barcode of Life Database System (KBOL)

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 larg...

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Veröffentlicht in:Animal cells and systems 2012, 16(1), , pp.11-19
Hauptverfasser: Kim, S.M., Seoul National University, Seoul, Republic of Korea, Kim, C.B., Sangmyung University, Seoul, Republic of Korea, Min, G.S., Inha University, Incheon, Republic of Korea, Suh, Y.B., Natural Products Research Institute, Seoul National University, Seoul, Republic of Korea, Bhak, J., Theragen Bio Institute, Suwon, Republic of Korea, Woo, T.H., Omicsis Inc., 211, Bio Venture Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea, Koo, H.Y., Sangji University, Wonju, Republic of Korea, Choi, J.K., Sangji University, Wonju, Republic of Korea, Shin, M.K., University of Ulsan, Ulsan, Republic of Korea, Jung, J.W., Ewha Womans University, Seoul, Republic of Korea, Song, K.H., Wildlife Genetic Resources Center, National Institute of Biological Resources, Incheon, Republic of Korea, Ree, H.I., Yonsei University College of Medicine, Seoul, Republic of Korea, Hwang, U.W., Kyungpook National University, Daegu, Republic of Korea, Park, Y.C., Kangwon National University, Chuncheon, Republic of Korea, Eo, H.S., Future IT RnD Laboratory, LGE Advanced Research Institute, Seoul, Republic of Korea, Kim, J.P., Joopil Spider Museum, Namyangju, Republic of Korea, Yoon, S.M., Chosun University, Gwangju, Republic of Korea, Rho, H.S., East Sea Research Institute, Korea Ocean Research and Development Institute, Uljin, Republic of Korea, Kim, S.H., Marine Biodiversity Research Institute, IN THE SEA Korea Co., Ltd., Jeju, Republic of Korea, Lee, H., Seoul National University, Seoul, Republic of Korea, Min, M.S., Seoul National University, Seoul, Republic of Korea, Kim, J.K., Pukyong National University, Busan, Republic of Korea, Sim, C.J., Hannam University, Daejeon, Republic of Korea, Won, Y.J., Ewha Womans University, Seoul, Republic of Korea, Lee, J.W., Yeungnam University, Gyeongsan, Republic of Korea, Cho, S.W., Chungbuk National University, Cheongju, Republic of Korea, Seo, J.E., Woosuk University, Wanju, Republic of Korea, Lee, S.H., Seoul National University, Seoul, Republic of Korea, Song, J.I., Ewha Womans University, Seoul, Republic of Korea, Han, H.Y., Yonsei University, Wonju, Republic of Korea, Shin, S., Sahmyook University, Seoul, Republic of Korea, Song, S.J., National Park Research Institute, Namwon, Republic of Korea, Park, J.K., Chungbuk National University, Cheongju, Republic of Korea, Eom, K.S., Chungbuk National University, Cheongju, Republic of Korea, Park, J.H., The University of Suwon, Hwaseong, Republic of Korea, Kim, W., Seoul National University, Seoul, Republic of Korea
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Sprache:eng
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Zusammenfassung: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.
ISSN:1976-8354
2151-2485
DOI:10.1080/19768354.2011.607513