Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Phylogenetic Influence Of Complex, Evolutionary Models: A Bayesian Approach, Neeraja M. Krishnan
Phylogenetic Influence Of Complex, Evolutionary Models: A Bayesian Approach, Neeraja M. Krishnan
LSU Master's Theses
Molecular evolution recovers the history of living species by comparing genetic information, exploring genome structure and function from an evolutionary perspective. Here we infer substitution rates and ancestral reconstructions, to better understand mutation responses to some known biochemical phenomena. Mutation processes are commonly inferred using parsimony, maximum likelihood and Bayesian. Parsimony is not explicitly model-based, and is statistically biased due to unrealistic assumptions. The model-based maximum likelihood approaches become computationally inefficient while analyzing large or high-dimensional datasets, leaving little opportunities to incorporate complex evolutionary models. We implemented a posterior probability (Bayesian) approach that evaluates evolutionary models, applying it to primate …
Evolution Of Base Substitution Gradients In Primate Mitochondrial Genomes, Sameer Raina
Evolution Of Base Substitution Gradients In Primate Mitochondrial Genomes, Sameer Raina
LSU Master's Theses
The availability of large amounts of genetic data from the mitochondrial DNA of species has created an unprecedented opportunity for the study of evolutionary processes. Being our closest relatives on the evolutionary tree the primates are a prime candidate for the study of evolutionary processes. The availability of large amounts of genetic data from the primates allows us to study and compare results from different phylogenetic reconstruction methods and to study and trace rudimentary evolutionary processes within the primate lineage. The evolutionary process studied here is the response of the nucleotide frequency ratios to single-strandedness of sites during mitochondrial DNA …