Clustering algorithms for ITS sequence data with alignment metrics

Authors:
Andrei Kelarev;Byeong Kang;Dorothy Steane
Affiliations:
School of Computing, University of Tasmania, Tasmania, Australia;School of Computing, University of Tasmania, Tasmania, Australia;CRC Forestry and School of Plant Science, University of Tasmania, Tasmania, Australia
Venue:
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Year:
2006

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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.