Estimating Genome-Wide Phylogenies Using Probabilistic Topic Modeling
Khodaei, M., Edwards, S. V., and Beerli, P.
Papers
This page lists selected papers that represent the lab’s work on coalescent inference, divergence time estimation, population structure, and related statistical methods.
Selected Papers
Representative publications ordered from newer to older.
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Geodesics to characterize the phylogenetic landscape
Khodaei, M., Owen, M., and Beerli, P.
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Population divergence time estimation using individual lineage label switching
Beerli, P., Ashki, H., Mashayekhi, S., and Palczewski, M.
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Population genetic inference with Migrate
Beerli, P., Mashayekhi, S., Sadeghi, M., Khodaei, M., and Shaw, K.
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Fractional coalescent
Mashayekhi, S. and Beerli, P.
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Population model comparison using multi-locus datasets
Palczewski, M. and Beerli, P.
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Unified framework to evaluate panmixia and migration direction among multiple sampling locations
Beerli, P. and Palczewski, M.
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How to use MIGRATE or why are Markov chain Monte Carlo programs difficult to use
Beerli, P.
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Comparison of Bayesian and maximum-likelihood inference of population genetic parameters
Beerli, P.
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Effect of unsampled populations on the estimation of population sizes and migration rates between sampled populations
Beerli, P.
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Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach
Beerli, P. and Felsenstein, J.
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Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach
Beerli, P. and Felsenstein, J.