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Flag samples with suspicious heterozygosity metrics.
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Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
| name | flag_heterozygosity_outliers |
| title | Flag Heterozygosity Outliers |
| description | Flag samples with suspicious heterozygosity metrics. |
Use this skill after per-sample heterozygosity or het/hom evidence is available. Compare samples to cohort context and flag excess or deficient heterozygosity as possible contamination, inbreeding, sample swap, or low-quality data.
Do not flag from one metric alone when cohort context is missing.
