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
69/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
SARS-CoV-2 amplicon sequencing; borderline reusability (grade D). Adapter contamination (14.09%) is the dominant quality constraint, scoring only 6/100 and will introduce off-target mapping and coverage artifacts in variant calling. Base quality itself is excellent (Q30: 99%), but the unremoved adapters outweigh this strength; evidence_strength=1 means these metrics are provisionally reported and warrant independent verification before use.
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