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 high adapter_content_pct=21.68 (measured, score 0/100) at 2.5M read depth, grade D. Despite good base quality (Q30=95.9%, mean Q=36.3, measured), the adapter burden is the critical limiting factor for reuse in variant detection or surveillance workflows. Mandatory aggressive trimming required.
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