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admixr—R package for reproducible analyses using ADMIXTOOLS
Author(s) -
Martin Petr,
Benjamin Vernot,
Janet Kelso
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz030
Subject(s) - computer science , parsing , scripting language , workflow , suite , software , set (abstract data type) , source code , process (computing) , programming language , r package , automation , interface (matter) , population , mit license , pipeline (software) , data mining , database , operating system , mechanical engineering , demography , archaeology , bubble , maximum bubble pressure method , sociology , engineering , history
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.

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