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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.

Astronomy is experiencing a rapid growth in complexity and data size. The difficulty in analysing data
fosters the development of data-driven science as a useful companion where astronomers develop tools
to mine datasets and extract novel…