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Clustering algorithms for ITS sequence data with alignment metrics

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Kelarev, A, Kang, BH and Steane, DA 2006 , 'Clustering algorithms for ITS sequence data with alignment metrics', in Abdul Sattar and Byeong Ho Kang (eds.), AI 2006: Advances in Artificial Intelligence , Lecture Notes in Computer Science (4304) , Springer Berlin/Heidelberg, pp. 1027-1031.

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Abstract

The article describes two new clustering algorithms for DNA nucleotide sequences, summarizes the results of experimental analysis of performance of these algorithms for an ITS-sequence data set, and compares the results with known biologically significant clusters of this data set. It is shown that both algorithms are efficient and can be used in practice.

Item Type: Book Section
Authors/Creators:Kelarev, A and Kang, BH and Steane, DA
Publisher: Springer Berlin/Heidelberg
DOI / ID Number: 10.1007/11941439_116
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