Configuration

NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)

Parabricks rows of Table S2.

Overview

Parabricks rows of Table S2.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

2 evaluations · 19 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	9.43 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D14; ID 'ERR1955532'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	4:20:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C14; ID 'ERR1955532'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	8.16 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D16; ID 'ERR1955536'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	4:22:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C16; ID 'ERR1955536'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	10.6 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D18; ID 'ERR1955539'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	8.13 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D20; ID 'ERR1955540'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	4:06:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C20; ID 'ERR1955540'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	10.6 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D22; ID 'ERR1955541'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WGS FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WGS samples from Illumina's Polaris project (HiSeq X, 150 bp reads)	4:40:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WGS samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wgs-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C22; ID 'ERR1955541'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0.77 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D4; ID 'SRR11012403'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0:12:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C4; ID 'SRR11012403'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0.71 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D6; ID 'SRR11012404'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0:12:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C6; ID 'SRR11012404'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0.74 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D8; ID 'SRR11012405'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0:12:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C8; ID 'SRR11012405'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0.74 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D10; ID 'SRR11012406'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0:10:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C10; ID 'SRR11012406'; Software 'Parabricks'; column 'Runtime (h/m/s)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0.93 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), D12; ID 'SRR11012408'; Software 'Parabricks'; column 'Cost ($)'
Configuration: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)	Protocol: WES FASTQ-to-VCF runtime and cost on GCP, Sentieon versus Parabricks (Franzoso et al. 2025 Table S2) Dataset: Five WES samples (Twist Core Exome, Illumina NextSeq 500, 2x75 bp) from an HLH-like syndrome study	0:14:00 runtime second · lower Uncertainty: Not reported by the source: Single run per cell Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Parabricks on GCP, WES samples (Franzoso et al. 2025) model-execution-20261009-protocol-franzoso2025-wes-gcp Aggregation: Not reported Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial; Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Table S2 (CTS-18-e70416-s002.xlsx), C12; ID 'SRR11012408'; Software 'Parabricks'; column 'Runtime (h/m/s)'

Source checking is not independent reproduction. Release 2026-10-09-8cc1db47c7f9.

Use this model

How it works, versions and access

Strengths, limitations and unresolved questions

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

0 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-8cc1db47c7f9
Property and statement	Original source and location	Review and provenance

No evidence rows match these filters. Choose another scope or clear the search.

All evidence (JSONL) (gzip)How to read the evidence

Sources and history

Release 2026-10-09-8cc1db47c7f9 · Record review: source checked

2 source records and release history

Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial · Original source · Clinical and Translational Science 18(11):e70416, published 2025-11-18; PMC12627752 full-text XML
Franzoso et al. 2025, Table S2 (runtime and costs per sample) and Table S1 (sample identifiers) · Original source · CTS-18-e70416-s002.xlsx (Table S2) inside the Europe PMC supplementary files bundle for PMC12627752

Download this release (gzip)

Technical metadata and extraction receipts

Stable ID: model-execution-20261009-config-franzoso2025-parabricks-germline-4-0-1-1-gcp-t4

areas: dna-genomes
contexts: clinical_research
method types: conventional_pipeline
foundation model eligible: false
reported name: Parabricks
version: v4.0.1-1
hardware: description: 48 vCPUs, 58 GB memory, 1 NVIDIA T4 GPU; baseline cost 1.65 USD per hour
protocol: Default parameters and steps: alignment, duplicate marking, base recalibration and variant calling, FASTQ to VCF
source locator: Methods 'Design of the Benchmark' paragraph 1 and 'Cloud Deployment Design and Implementation' paragraph 3

Related records

configuration of: NVIDIA Parabricks
system: Parabricks on GCP, WES samples (Franzoso et al. 2025)
system: Parabricks on GCP, WGS samples (Franzoso et al. 2025)

Suggest a correction