  Processing high-throughput DNA sequencing data of individuals or populations
requires stringing together independent software tools with many parameters,
often leading to non-reproducible pipelines and datasets. We developed
grenepipe to streamline this data processing, an all-in-one Snakemake workflow
from raw sequencing data to the end product of a table of individuals'
genotypes or population frequencies. Our pipeline allows users to select among
a range of popular software tools within a single configuration file,
automatically downloads and installs software and dependencies, and runs with
two command calls: to prepare and to run. It is highly optimized for
scalability in cluster environments and parallel computing, splitting data
tasks into manageable genomic sections and automatically consolidating the
outputs. grenepipe is published under the GPL-3 license, and freely available
at https://github.com/moiexpositoalonsolab/grenepipe.
