Wilton R, Szalay AS. Short-read aligner performance in germline variant identification.
Bioinformatics 2023;
39:btad480. [PMID:
37527006 PMCID:
PMC10421969 DOI:
10.1093/bioinformatics/btad480]
[Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/01/2023] [Accepted: 07/31/2023] [Indexed: 08/03/2023] Open
Abstract
MOTIVATION
Read alignment is an essential first step in the characterization of DNA sequence variation. The accuracy of variant-calling results depends not only on the quality of read alignment and variant-calling software but also on the interaction between these complex software tools.
RESULTS
In this review, we evaluate short-read aligner performance with the goal of optimizing germline variant-calling accuracy. We examine the performance of three general-purpose short-read aligners-BWA-MEM, Bowtie 2, and Arioc-in conjunction with three germline variant callers: DeepVariant, FreeBayes, and GATK HaplotypeCaller. We discuss the behavior of the read aligners with regard to the data elements on which the variant callers rely, and illustrate how the runtime configurations of these software tools combine to affect variant-calling performance.
AVAILABILITY AND IMPLEMENTATION
The quick brown fox jumps over the lazy dog.
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