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Clustering algorithms for ITS sequence data with alignment metrics

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Kelarev, A and Kang, BH and Steane, DA (2006) Clustering algorithms for ITS sequence data with alignment metrics. In: AI 2006: Advances in Artificial Intelligence. Lecture Notes in Computer Science (4304). Springer Berlin/Heidelberg, pp. 1027-1031. ISBN 978-3-540-49787-5

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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
Publisher: Springer Berlin/Heidelberg
Page Range: pp. 1027-1031
Identification Number - DOI: 10.1007/11941439_116
Date Deposited: 11 Mar 2008 12:22
Last Modified: 18 Nov 2014 03:31
URI: http://eprints.utas.edu.au/id/eprint/3432
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