%0 Journal Article %A Petr, Martin %A Vernot, Benjamin %A Kelso, Janet %+ Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society The Leipzig School of Human Origins (IMPRS), Max Planck Institute for Evolutionary Anthropology, Max Planck Society Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society The Minerva Research Group for Bioinformatics, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society %T admixr – R package for reproducible analyses using ADMIXTOOLS : %G eng %U https://hdl.handle.net/21.11116/0000-0002-D219-5 %R 10.1093/bioinformatics/btz030 %7 2019-01-22 %D 2019 %8 01.09.2019 %* Review method: peer-reviewed %X We present a new R package admixr, which provides a convenient interface for performing reproducible population genetic analyses (f3, D, f4, f4-ratio, qpWave and qpAdm), as implemented by command-line programs in the ADMIXTOOLS software suite. In a traditional ADMIXTOOLS workflow, the user must first generate a set of text configuration files tailored to each individual analysis, often using a combination of shell scripting and manual text editing. The non-tabular output files then need to be parsed to extract values of interest prior to further analyses. Our package simplifies this process by automating all low-level configuration and parsing steps, making analyses as simple as running a single R command. Furthermore, we provide a set of R functions for processing, filtering and manipulating datasets in the EIGENSTRAT format. By unifying all steps of the workflow under a single R framework, this package enables the automation of analytic pipelines, significantly improving the reproducibility of population genetic studies. %J Bioinformatics %V 35 %N 17 %& 3194 %P 3194 - 3195 %] btz030 %I Oxford University Press %C Oxford %@ 1460-2059