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A community-maintained standard library of population genetic models

The explosion in population genomic data demands ever more complex modes of analysis, and increasingly, these analyses depend on sophisticated simulations. Recent advances in population genetic simulation have made it possible to simulate large and …

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive [version 2; peer review: 2 approved]

The Sequence Read Archive (SRA) is a large public repository that stores raw next-generation sequencing data from thousands of diverse scientific investigations. Despite its promise, reuse and re-analysis of SRA data has been challenged by the …

Substructured population growth in the Ashkenazi Jews inferred with Approximate Bayesian Computation

The Ashkenazi Jews (AJ) are a population isolate sharing ancestry with both European and Middle Eastern populations that has likely resided in Central Europe since at least the tenth century. Between the 11th and 16th centuries, the AJ population …

SimPrily: A Python framework to simplify high-throughput genomic simulations

Genomic simulations are an important technique used in population genetics to infer demographic history, test for regions under selection, and create datasets to validate software. However, running thousands of simulations and manipulating large loci …

Population Genetics of the Ashkenazim

The Ashkenazim are awell-studied populationwith a dynamic and unique history. The spread of Jew- ish populations from the Middle East to locations in the Diaspora in the past 2000 years repre- sents a microcosm of the evolutionary processes affecting …

No Evidence from Genome-Wide Data of a Khazar Origin for the Ashkenazi Jews

The origin and history of the Ashkenazi Jewish population have long been of great interest, and advances in high-throughput genetic analysis have recently provided a new approach for investigating these topics. We and others have argued on the basis …