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High performance computational methods for molecular phylogenetic inference

Posted on:2010-09-01Degree:Ph.DType:Dissertation
University:University of IdahoCandidate:Evans, JasonFull Text:PDF
GTID:1440390002972714Subject:Bioinformatics
Abstract/Summary:
In this dissertation, composed of four independent chapters, I present high performance methods and computer software for molecular phylogenetic inference. Chapter 1 describes the Crux software package, which I developed to support the methods research in the subsequent chapters. Chapter 2 describes the relaxed neighbor joining algorithm, which is a far faster variant of the venerable neighbor joining algorithm. Chapter 3 applies a combination of mixture models and polytomous tree support, including several novel enhancements to existing algorithms, to call into question the validity of analyses that apply a single model of evolution to multi-gene concatenated data sets. Chapter 4 synthesizes the work of others to determine that approximated model probabilities can have a significant negative impact on decision-theoretic model selection.
Keywords/Search Tags:Methods, Chapter
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