Kendig, Katherine I. and Baheti, Saurabh and Bockol, Matthew A. and Drucker, Travis M. and Hart, Steven N. and Heldenbrand, Jacob R. and Hernaez, Mikel and Hudson, Matthew E. and Kalmbach, Michael T. and Klee, Eric W. and Mattson, Nathan R. and Ross, Christian A. and Taschuk, Morgan and Wieben, Eric D. and Wiepert, Mathieu and Wildman, Derek E. and Mainzer, Liudmila S. (2019) Sentieon DNASeq Variant Calling Workflow Demonstrates Strong Computational Performance and Accuracy. Frontiers in Genetics, 10. ISSN 1664-8021
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Abstract
As reliable, efficient genome sequencing becomes ubiquitous, the need for similarly reliable and efficient variant calling becomes increasingly important. The Genome Analysis Toolkit (GATK), maintained by the Broad Institute, is currently the widely accepted standard for variant calling software. However, alternative solutions may provide faster variant calling without sacrificing accuracy. One such alternative is Sentieon DNASeq, a toolkit analogous to GATK but built on a highly optimized backend. We conducted an independent evaluation of the DNASeq single-sample variant calling pipeline in comparison to that of GATK. Our results support the near-identical accuracy of the two software packages, showcase optimal scalability and great speed from Sentieon, and describe computational performance considerations for the deployment of DNASeq.
Item Type: | Article |
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Subjects: | GO for STM > Medical Science |
Depositing User: | Unnamed user with email support@goforstm.com |
Date Deposited: | 20 Feb 2023 11:05 |
Last Modified: | 03 Jan 2024 06:23 |
URI: | http://archive.article4submit.com/id/eprint/230 |