2019
DOI: 10.3389/fgene.2019.00736
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Sentieon DNASeq Variant Calling Workflow Demonstrates Strong Computational Performance and Accuracy

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 conducte… Show more

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Cited by 177 publications
(135 citation statements)
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“…com) 46 . Data were processed using a custom version of Sentieon and aligned to GRCh38, with variant calling and phasing algorithms following GATK best practices 47 . Imputation of common variants in the HNP data was performed by pre-phasing samples and then imputing.…”
Section: Methodsmentioning
confidence: 99%
“…com) 46 . Data were processed using a custom version of Sentieon and aligned to GRCh38, with variant calling and phasing algorithms following GATK best practices 47 . Imputation of common variants in the HNP data was performed by pre-phasing samples and then imputing.…”
Section: Methodsmentioning
confidence: 99%
“…We also sequenced seven accessions with 8-to 160-fold paired-end sequencing using the Illumina HiSeq 2500 platform. Reads were processed and variants were called based on PN40024 (version 12X.v2) 26 using the Sentieon DNA Software Package (version, Golden helix) 53 with default settings. This Sentieon package is a speed-up software that rebuilt the Genome Analysis Toolkit HaplotypeCaller and returns the same result as GATK 3.3.…”
Section: Genus-wide Variant Calling a Total Of 47mentioning
confidence: 99%
“…Bioinformatics analysis. Read mapping and variant calling were performed using Sentieon's DNAseq [48,49] FASTQ to VCF pipeline implemented on the DNAnexus cloud [USA]. Briefly, sequence reads were aligned to the GRCh38 reference genome using the BWA-MEM algorithm [50].…”
Section: Plos Onementioning
confidence: 99%