A data mining approach to dinoflagellate clustering according to sterol composition: correlations with evolutionary history
(2010) In International Journal of Data Mining and Bioinformatics 4(4). p.431-451- Abstract
- Abstract in Undetermined
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... (More) - Abstract in Undetermined
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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1445406
- author
- Leblond, Jeffrey D ; Lasiter, Andew D ; Li, Cen ; Logares, Ramiro ; Rengefors, Karin LU and Evens, Terence J.
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- bioinformatics, clustering, cluster validation, data mining, dinoflagellate, knowledge discovery, phylogeny analysis, sterol
- in
- International Journal of Data Mining and Bioinformatics
- volume
- 4
- issue
- 4
- pages
- 431 - 451
- publisher
- Inderscience Publishers
- external identifiers
-
- wos:000280011800005
- scopus:77954752951
- ISSN
- 1748-5673
- DOI
- 10.1504/IJDMB.2010.034198
- language
- English
- LU publication?
- yes
- id
- 01868a90-b5c4-4404-9413-de67c4669c81 (old id 1445406)
- date added to LUP
- 2016-04-01 10:26:30
- date last changed
- 2024-04-07 09:55:42
@article{01868a90-b5c4-4404-9413-de67c4669c81, abstract = {{Abstract in Undetermined<br/>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.}}, author = {{Leblond, Jeffrey D and Lasiter, Andew D and Li, Cen and Logares, Ramiro and Rengefors, Karin and Evens, Terence J.}}, issn = {{1748-5673}}, keywords = {{bioinformatics; clustering; cluster validation; data mining; dinoflagellate; knowledge discovery; phylogeny analysis; sterol}}, language = {{eng}}, number = {{4}}, pages = {{431--451}}, publisher = {{Inderscience Publishers}}, series = {{International Journal of Data Mining and Bioinformatics}}, title = {{A data mining approach to dinoflagellate clustering according to sterol composition: correlations with evolutionary history}}, url = {{http://dx.doi.org/10.1504/IJDMB.2010.034198}}, doi = {{10.1504/IJDMB.2010.034198}}, volume = {{4}}, year = {{2010}}, }