DocumentCode :
3379546
Title :
Confidence measures for evolutionary trees: applications to molecular epidemiology
Author :
Burr, Tom ; Skourikhine, Alexei ; Macken, Catherine ; Bruno, William
Author_Institution :
Safeguards Syst. Group, Los Alamos Nat. Lab., NM, USA
fYear :
1999
fDate :
1999
Firstpage :
107
Lastpage :
114
Abstract :
Recently there has been increased use of statistical hypothesis testing in settings where the phylogenetic (evolutionary) relationship among organisms (taxa) should be considered. For example, we have a current need to assess our confidence in assigning influenza sequences to the time period or species. We do so by using both: pattern recognition methods that do not explicitly account for the evolutionary relationships; and phylogenetic tree estimation methods that do explicitly estimate the evolutionary relationships (branching order) among the specified taxa. We compare our conclusions under both approaches for sequences from the Hemagglutinin gene of the human influenza RNA virus that are evenly distributed around the world from 1985 to 1996 and for sequences of the Nucleoprotein gene of the influenza RNA virus from three host species
Keywords :
biology computing; evolutionary computation; genetics; medical computing; pattern recognition; trees (mathematics); Hemagglutinin gene; Nucleoprotein gene; RNA; confidence measures; evolutionary relationships; evolutionary trees; influenza sequences; molecular epidemiology; pattern recognition; phylogenetic tree estimation methods; statistical hypothesis testing; Evolution (biology); Hip; Influenza; Laboratories; Maximum likelihood estimation; Phylogeny; RNA; Read only memory; Sequences; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-0446-9
Type :
conf
DOI :
10.1109/ICIIS.1999.810231
Filename :
810231
Link To Document :
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