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
This NovaSeq 6000 amplicon run for SARS-CoV-2 yielded only 82,516 short reads (24.1 million bases) with outstanding quality (99.5% Q20, 98.5% Q30) and zero N-content, suggesting a minimal shallow run or positive-control sample. The exceptional quality affirms assay robustness, but limited read depth restricts use to quick variant confirmation rather than discovery. Most valuable as a quality reference or for single-target validation.
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