Provenance — who produced it, who reused it
Linked to 1 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
67/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
SARS-CoV-2 amplicon with highest adapter contamination in cohort (21.68%, measured) and smallest dataset (16k reads), generating grade D despite near-perfect base quality (Q30=98.7%, mean Q=37.5, measured). Low read count and high adapter concentration together compromise statistical power for variant detection. Not recommended for reuse without extensive preprocessing.
The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published amplicon thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0