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, Illumina NovaSeq. D-grade (69/100) with moderate adapter contamination (13.99%), indicating suboptimal library prep—adapters will create off-target mapping and inflate noise. Q30 (96.8%) is strong, but adapters are the limiting factor; reuse requires stringent trimming and PCR-duplicate removal, with verification that consensus does not diverge post-cleanup.
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