Abstract
DNA barcoding technology, which uses of one or a few DNA fragments for rapid identification of species, is a research focus on biodiversity information studies. In this paper, a data analysis toolbox, iDNABar, is designed and implemented to support species identification with all phases of the analytical flow, form specimen collection to tightly validated barcode library for any DNA fragment. The method of identification is proposed; key elements to management and sharing are also presented, including the user security, statistical functions and application interfaces. Meanwhile, the applications of the implementation are discussed to drive the species identification cloud’s development. (For download: http://www.darwintree.cn/tools.htm)
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Meng, Z., Li, J., Zhou, Y., Gao, Y., Shen, Z. (2011). iDNABar: A Rapid Species Identification Toolbox for DNA Barcoding, Collection, Preservation, Identification and Tracing. In: Wang, Y., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25658-5_42
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DOI: https://doi.org/10.1007/978-3-642-25658-5_42
Publisher Name: Springer, Berlin, Heidelberg
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