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dc.contributor.authorDissanayake, Ranjan
dc.date.accessioned2019-01-09T19:55:44Z
dc.date.available2019-01-09T19:55:44Z
dc.date.issued2018-05
dc.identifier.urihttp://hdl.handle.net/11122/9726
dc.descriptionMaster's Project (M.S.) University of Alaska Fairbanks, 2018.en_US
dc.description.abstractIn this simulation study we examined the reliability of three phylogenetic reconstruction techniques in a long branch attraction (LBA) situation: Maximum Parsimony (M P), Neighbor Joining (NJ), and Maximum Likelihood. Data were simulated under five DNA substitution models-JC, K2P, F81, HKY, and G T R-from four different taxa. Two branch length parameters of four taxon trees ranging from 0.05 to 0.75 with an increment of 0.02 were used to simulate DNA data under each model. For each model we simulated DNA sequences with 100, 250, 500 and 1000 sites with 100 replicates. When we have enough data the maximum likelihood technique is the most reliable of the three methods examined in this study for reconstructing phylogenies under LBA conditions. We also find that MP is the most sensitive to LBA conditions and that Neighbor Joining performs well under LBA conditions compared to MP.en_US
dc.language.isoen_USen_US
dc.subjectPhylogenyen_US
dc.subjectMathematical modelsen_US
dc.subjectDNAen_US
dc.titleReliability analysis of reconstructing phylogenies under long branch attraction conditionsen_US
dc.typeOtheren_US
dc.type.degreems
dc.identifier.departmentDepartment of Mathematics and Statistics
dc.contributor.chairAllman, Elizabeth
dc.contributor.chairMcIntyre, Julie
dc.contributor.committeeShort, Margaret
dc.contributor.committeeGoddard, Scott
refterms.dateFOA2020-03-05T17:13:11Z


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