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A data mining approach to dinoflagellate clustering according to sterol composition: correlations with evolutionary history
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology.
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2010 (English)In: International journal of data mining and bioinformatics, ISSN 1748-5673, Vol. 4, no 4, 431-451 p.Article in journal (Refereed) Published
Abstract [en]

This study examined the sterol compositions of 102 dinoflagellates using clustering and cluster validation techniques, as a means of determining the relatedness of the organisms. In addition, dinoflagellate sterol-based relationships were compared statistically to 18S rDNA-based phylogenetic relationships using the Mantel test. Our results indicated that the examined dinoflagellates formed six clusters based on sterol composition and that several, but not all, dinoflagellate genera, which formed discrete clusters in the 18S rDNA-based phylogeny, shared similar sterol compositions. This and other correspondences suggest that the sterol compositions of dinoflagellates are explained, to a certain extent, by the evolutionary history of this lineage.

Place, publisher, year, edition, pages
2010. Vol. 4, no 4, 431-451 p.
Keyword [en]
bioinformatics, clustering, cluster validation, data mining, dinoflagellate, knowledge discovery, phylogeny analysis, sterol
National Category
Biological Sciences Computer and Information Science
URN: urn:nbn:se:uu:diva-135672DOI: 10.1504/IJDMB.2010.034198ISI: 000280011800005OAI: oai:DiVA.org:uu-135672DiVA: diva2:375436
Available from: 2010-12-08 Created: 2010-12-07 Last updated: 2010-12-08Bibliographically approved

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