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dc.contributor.advisorKing, Elizabeth G.eng
dc.contributor.authorPetrowski, Pauleng
dc.date.issued2019eng
dc.date.submitted2019 Springeng
dc.description.abstractThe central question that the King lab seeks to answer is, "What happens on the genomic level when phenotypes evolve?" To this end, the core focus of my work has been on developing software and analytical methods that facilitate the ability of other researchers working in this space to answer their questions of interest. ... In the second chapter, we describe the problem of inferring ancestral haplotype frequencies from pooled sequence data. We discuss five approaches to this problem that have already been developed, and we discuss a new genetic algorithm based approach that we designed. We perform a benchmarking test on a method developed by Burke et al. and we compare that method to the genetic algorithm by evaluating the performance of each on a simulated dataset. We find that the new method outperforms the existing one.eng
dc.description.bibrefIncludes bibliographical references.eng
dc.description.statementofresponsibilityby Paul Petrowskieng
dc.format.extent1 online resource (v, 34 pages) : illustrationseng
dc.identifier.urihttps://hdl.handle.net/10355/70158
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.titleDeveloping tools for making inferences from genomic dataeng
dc.typeThesiseng
thesis.degree.disciplineBiological sciences (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.A.eng


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