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Full-Text Articles in Genetics and Genomics
Scalable Parallelization Of A Markov Coalescent Genealogy Sampler, Philip E. Davis
Scalable Parallelization Of A Markov Coalescent Genealogy Sampler, Philip E. Davis
Masters Theses
Coalescent genealogy samplers are effective tools for the study of population genetics. They are used to estimate the historical parameters of a population based upon the sampling of present-day genetic information. A popular approach employs Markov chain Monte Carlo (MCMC) methods. While effective, these methods are very computationally intensive, often taking weeks to run. Although attempts have been made to leverage parallelism in an effort to reduce runtimes, they have not resulted in scalable solutions. Due to the inherently sequential nature of MCMC methods, their performance has suffered diminishing returns when applied to large-scale computing clusters. In the interests of …
The Population Genetics Of The Endangered Scalloped Hammerhead Shark, Sphyrna Lewini, Across Its Eastern Pacific Range, Holly Nance
All Dissertations
I have characterized the population genetic structure, inferred the evolutionary processes shaping it, and estimated effective population size (Ne) using different contemporary and coalescent methods in the endangered scalloped hammerhead shark, Sphyrna lewini, throughout its Eastern Pacific (EP) range. I found significant genetic differentiation among seven coastal sites between Mexico and Ecuador using 15 microsatellite loci, and significant isolation by distance among samples of mtDNA control region haplotypes. While Bayesian statistical analyses and coalescent-based methods revealed low levels of ecological connectivity between most sampled sites (point estimates of Nm = 0.6 - 7.3), mismatch analyses showed that all populations experienced …