Whole Animal Genome Sequencing: user-friendly, rapid, containerized pipelines for processing, variant discovery, and annotation of short-read whole genome sequencing data

Abstract

Abstract Advancements in massively parallel short-read sequencing technologies and the associated decreasing costs have led to large and diverse variant discovery efforts across species. However, processing high-throughput short-read sequencing data can be challenging with potential pitfalls and bioinformatics bottlenecks in generating reproducible results. Although a number of pipelines exist that address these challenges, these are often geared toward human or traditional model organism species and can be difficult to configure across institutions. Whole Animal Genome Sequencing (WAGS) is an open-source set of user-friendly, containerized pipelines designed to simplify the process of identifying germline short (SNP and indel) and structural variants (SVs) geared toward the veterinary community but adaptable to any species with a suitable reference genome. We present a description of the pipelines [adapted from the best practices of the Genome Analysis Toolkit (GATK)], along with benchmarking data from both the preprocessing and joint genotyping steps, consistent with a typical user workflow.