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dc.contributor.advisorWarnow, Tandyen
dc.creatorWang, Li-sanen
dc.date.accessioned2008-08-28T21:43:51Zen
dc.date.available2008-08-28T21:43:51Zen
dc.date.issued2003en
dc.identifierb57270375en
dc.identifier.urihttp://hdl.handle.net/2152/1038en
dc.descriptiontexten
dc.description.abstractThe phylogeny problem is to reconstruct the phylogenetic tree in which the leaves are labeled by the taxa we are interested in, and the internal nodes are ancestral taxa. Recent advances in molecular biology and genomics have provided biologists with molecular data at an unprecedented rate and scale; in particular whole genome data for more and more species. First, the number of possible phylogenetic trees grows superexponentially with the increase of the number of species being studied. Second, detailed sequence data for each species usually convey conflict. Third, more species usually means more evolutionary events along the evolutionary tree. This usually leads to highly saturated data, which are difficult to analyze in general. In this thesis I present two possible approaches to solve this difficulty. The first approach is to use genome rearrangement evolution, an evolutionary process that has lower evolutionary rate than DNA sequence evolution. The second approach is to process multiple trees returned by tree reconstruction algorithms by applying clustering methods.
dc.format.mediumelectronicen
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshGenomes--Data processingen
dc.subject.lcshPhylogeny--Data processingen
dc.titleLarge-scale phylogenetic analysisen
dc.description.departmentComputer Sciencesen
dc.identifier.oclc57122155en
dc.identifier.proqst3116220en
dc.type.genreThesisen
thesis.degree.departmentComputer Sciencesen
thesis.degree.disciplineComputer Sciencesen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen


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