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Full-Text Articles in Genetics and Genomics
Hiding In The Lianas Of The Tree Of Life: Molecular Phylogenetics And Species Delimitation Reveal Considerable Cryptic Diversity Of New World Vine Snakes, Robert C. Jadin, Christopher Blair, Michael J. Jowers, Anthony Carmona, John C. Murphy
Hiding In The Lianas Of The Tree Of Life: Molecular Phylogenetics And Species Delimitation Reveal Considerable Cryptic Diversity Of New World Vine Snakes, Robert C. Jadin, Christopher Blair, Michael J. Jowers, Anthony Carmona, John C. Murphy
Publications and Research
The Brown Vine Snake, Oxybelis aeneus, is considered a single species despite the fact its distribution covers an estimated 10% of the Earth’s land surface, inhabiting a variety of ecosystems throughout North, Central, and South America and is distributed across numerous biogeographic barriers. Here we assemble a multilocus molecular dataset (i.e. cyt b, ND4, cmos, PRLR) derived from Middle American populations to examine for the first time the evolutionary history of Oxybelis and test for evidence of cryptic lineages using Bayesian and maximum likelihood criteria. Our divergence time estimates suggest that Oxybelis diverged from its sister genus, Leptophis …
Implementing And Evaluating A Gaussian Mixture Framework For Identifying Gene Function From Tnseq Data, Kevin Li, Rachel Chen, William Lindsey, Aaron Best, Matthew Dejongh, Christopher Henry, Nathan L. Tintle
Implementing And Evaluating A Gaussian Mixture Framework For Identifying Gene Function From Tnseq Data, Kevin Li, Rachel Chen, William Lindsey, Aaron Best, Matthew Dejongh, Christopher Henry, Nathan L. Tintle
Faculty Work Comprehensive List
The rapid acceleration of microbial genome sequencing increases opportunities to understand bacterial gene function. Unfortunately, only a small proportion of genes have been studied. Recently, TnSeq has been proposed as a cost-effective, highly reliable approach to predict gene functions as a response to changes in a cell's fitness before-after genomic changes. However, major questions remain about how to best determine whether an observed quantitative change in fitness represents a meaningful change. To address the limitation, we develop a Gaussian mixture model framework for classifying gene function from TnSeq experiments. In order to implement the mixture model, we present the Expectation-Maximization …