II.
Workflow overview
Reference · liveworkflow:genomic-data-pipeline-validation
Genomic Data Pipeline Validation overview
Validates genomic data processing pipelines end-to-end -- verifying FASTQ quality filtering against Phred score thresholds, checking alignment accuracy against reference genome assemblies (GRCh38/T2T-CHM13), benchmarking variant calling sensitivity and specificity on truth-set datasets (e.g., Genome in a Bottle), auditing annotation databases for currency and completeness, testing pipeline reproducibility across compute environments and software versions, and confirming output formats meet VCF specification and downstream analysis requirements. Produces validation report with concordance metrics and pipeline certification status. Excludes pipeline development and wet-lab sample preparation.
Attributes
displayName
Genomic Data Pipeline Validation
workflowKind
governance
triggerType
event-driven
typicalCadence
per-release
complexity
cross-team
description
Validates genomic data processing pipelines end-to-end -- verifying
FASTQ quality filtering against Phred score thresholds, checking
alignment accuracy against reference genome assemblies
(GRCh38/T2T-CHM13), benchmarking variant calling sensitivity and
specificity on truth-set datasets (e.g., Genome in a Bottle),
auditing annotation databases for currency and completeness, testing
pipeline reproducibility across compute environments and software
versions, and confirming output formats meet VCF specification and
downstream analysis requirements. Produces validation report with
concordance metrics and pipeline certification status. Excludes
pipeline development and wet-lab sample preparation.
Outgoing edges
applies_to_domain2
- domain:bioinformatics·DomainBioinformatics
- domain:scientific-computing·DomainScientific Computing
involves_role3
- role:data-scientist·RoleData Scientist
- role:test-writer·RoleTest Writer
- role:staff-engineer·RoleStaff Engineer
performed_by_org_unit2
- org-unit:research-engineering·OrgUnitResearch Engineering
- org-unit:quality-engineering·OrgUnitQuality Engineering
requires_skill_area2
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
- skill-area:data-quality·SkillAreaData Quality
triggers_responsibility2
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
- responsibility:review-architecture-changes·ResponsibilityReview architecture changes
Incoming edges
None.