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http://dx.doi.org/10.1080/19768354.2011.607513

Korea Barcode of Life Database System (KBOL)  

Kim, Sung-Min (Interdisciplinary Program in Bioinformatics, Seoul National University)
Kim, Chang-Bae (Department of Green Life Science, Sangmyung University)
Min, Gi-Sik (Department of Biological Sciences, Inha University)
Suh, Young-Bae (Natural Products Research Institute, Seoul National University)
Bhak, Jong (Theragen Bio Institute)
Woo, Tae-Ha (Omicsis Inc., Bio Venture Center, Korea Research Institute of Bioscience and Biotechnology)
Koo, Hye-Young (Department of Biological Science, Sangji University)
Choi, Jun-Kil (Department of Biological Science, Sangji University)
Shin, Mann-Kyoon (Department of Biological Sciences, University of Ulsan)
Jung, Jong-Woo (Department of Science Education, Ewha Womans University)
Song, Kyo-Hong (Wildlife Genetic Resources Center, National Institute of Biological Resources)
Ree, Han-Il (Department of Environmental Medical Biology, Institute of Tropical Medicine, and Korean National Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine)
Hwang, Ui-Wook (Department of Biology, Teachers College & Institute for Phylogenomics and Evolution, Kyungpook National University)
Park, Yung-Chul (Department of Forest Environment Protection, College of Forest & Environmental Science, Kangwon National University)
Eo, Hae-Seok (Future IT R&D Laboratory, LGE Advanced Research Institute)
Kim, Joo-Pil (Joopil Spider Museum)
Yoon, Seong-Myeong (Department of Biology Education, Chosun University)
Rho, Hyun-Soo (East Sea Research Institute, Korea Ocean Research & Development Institute)
Kim, Sa-Heung (Marine Biodiversity Research institute, IN THE SEA Korea Co., Ltd.)
Lee, Hang (Conservation Genome Resource Bank for Korean Wildlife and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University)
Min, Mi-Sook (Conservation Genome Resource Bank for Korean Wildlife and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University)
Publication Information
Animal cells and systems / v.16, no.1, 2012 , pp. 11-19 More about this Journal
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.
Keywords
DNA barcoding; species identification; Korea Barcode of Life database system (KBOL); biodiversity;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 1
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