Individual skill
genomics-workflow-acceleration
Use when accelerating existing genomics workflows with NVIDIA Parabricks, improving runtime or price/performance, converting pipeline steps to GPUs, or comparing CPU and GPU workflow outputs. Adds optional GPU steps in-place with runtime toggles (default off). Do NOT use for individual pbrun command routing — use parabricks.
skills/bionemo-genomics-workflow-acceleration/SKILL.md
Source commit fce3cca4170be75e82c64920654d56ee2811b005
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- Last checked
- Nov 9, 2026
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- 3,913
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- genomics Declared skill tag
- parabricks Declared skill tag
- workflow-acceleration Declared skill tag
- gpu Declared skill tag
- nextflow Declared skill tag
- snakemake Declared skill tag
- wdl Declared skill tag
- python Declared skill tag
- operations Derived category
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BENCHMARK.mddoc · 7,848 bytesSKILL.mdcore · 13,331 bytesSKILL.mdcore · 13,331 bytesevals/evals.jsonasset · 5,487 bytesreferences/comparison-checklist.mddoc · 2,078 bytesreferences/nf-core-parabricks-map.mddoc · 3,002 bytesreferences/parabricks-runtime-readiness.mddoc · 2,553 bytesreferences/parabricks-tool-map.mddoc · 2,555 bytesreferences/step-consolidation.mddoc · 3,573 bytesreferences/workflow-frameworks.mddoc · 4,910 bytesreferences/workflow-layout.mddoc · 3,355 bytesskill-card.mddoc · 5,648 bytesskill.oms.sigasset · 6,353 bytes
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# Genomics workflow acceleration
## Purpose
Inspect an existing genomics workflow, map CPU steps to NVIDIA Parabricks, and
add **optional** GPU-accelerated steps **in place** alongside the original CPU
steps. Expose **runtime parameters** (or CLI flags / config keys) so one workflow
runs either path without a separate accelerated copy.
**Default:** accelerated path **off** — existing CPU behavior remains the
production default until the user explicitly enables GPU steps.
## Guardrails
