%A Kendig,Katherine I. %A Baheti,Saurabh %A Bockol,Matthew A. %A Drucker,Travis M. %A Hart,Steven N. %A Heldenbrand,Jacob R. %A Hernaez,Mikel %A Hudson,Matthew E. %A Kalmbach,Michael T. %A Klee,Eric W. %A Mattson,Nathan R. %A Ross,Christian A. %A Taschuk,Morgan %A Wieben,Eric D. %A Wiepert,Mathieu %A Wildman,Derek E. %A Mainzer,Liudmila S. %D 2019 %J Frontiers in Genetics %C %F %G English %K Sentieon,Benchmarking,GATK,DNASEQ,Variant calling %Q %R 10.3389/fgene.2019.00736 %W %L %M %P %7 %8 2019-August-20 %9 Technology and Code %+ Liudmila S. Mainzer,National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign,United States,lmainzer@uwyo.edu %+ Liudmila S. Mainzer,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign,United States,lmainzer@uwyo.edu %# %! DNASeq demonstrates strong performance, accuracy %* %< %T Sentieon DNASeq Variant Calling Workflow Demonstrates Strong Computational Performance and Accuracy %U https://www.frontiersin.org/articles/10.3389/fgene.2019.00736 %V 10 %0 JOURNAL ARTICLE %@ 1664-8021 %X 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.