Clustering algorithms for ITS sequence data with alignment metrics

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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Official URL: http://dx.doi.org/10.1007/11941439_116

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
ID Code:	3432
Deposited By:	Dr Dorothy A. Steane
Deposited On:	11 Mar 2008 23:22
Last Modified:	18 Jul 2008 20:39
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