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Summaries of genetic variation

Introduced by Matthew A Nunes et al. in On Optimal Selection of Summary Statistics for Approximate Bayesian Computation6 Sep 2010 archive 2025-07-28

The dataset represents data generated from a commonly used model in population genetics. It comprises a matrix of 1,000,000 rows and 9 columns, representing parameters and summaries generated by an infinite-sites coalescent model for genetic variation. The first two columns encode the scaled mutation rate (theta) and scaled recombination rate (rho). The subsequent seven columns are data summaries: number of segregating sites (C1), standard uniform random noise acting as a distractor (C2), pairwise mean number of nucleotidic differences (C3), mean R² across pairs separated by <10% of the simulated genomic regions (C4), number of distinct haplotypes (C5), frequency of the most common haplotype (C6), number of singleton haplotypes (C7).

(this text is not original and adapted from https://journal.r-project.org/archive/2015-2/nunes-prangle.pdf).

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License archive 2025-07-28

MIT

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  • Summaries of genetic variation

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