Genetic subtyping using cluster analysis

In this paper we (1) describe state-of-the-art methods to identify clusters in DNA sequence data for taxonomic analysis; (2) describe a new method with better scaling properties based on model-based clustering, and (3) present examples using the nucleoprotein and hemagglutin regions of influenza and...

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Veröffentlicht in:SIGKDD explorations 2001-07, Vol.3 (1), p.33-42
Hauptverfasser: Burr, Tom, Gattiker, James R., LaBerge, Greggory S.
Format: Artikel
Sprache:eng
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Zusammenfassung:In this paper we (1) describe state-of-the-art methods to identify clusters in DNA sequence data for taxonomic analysis; (2) describe a new method with better scaling properties based on model-based clustering, and (3) present examples using the nucleoprotein and hemagglutin regions of influenza and the env and gag regions of human immunodeficiency virus (HIV).
ISSN:1931-0145
1931-0153
DOI:10.1145/507533.507539