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Kate Gamper URSS_poster (1).pdf
In this project we use the Approximate Bayesian Computation - Markov Chain Monte Carlo algorithm to identify parameters of a SLiM model to explain our data
set of the observed site-frequency spectrum.
Output Formats

atom, dcmes-xml, json, omeka-xml, rss2