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 is a minimal shallow sequencing with only 33,539 short reads (9.79 million bases) but outstanding quality (99.6% Q20, 98.6% Q30). The extremely low read count and perfect quality metrics suggest a positive control, method validation, or pilot run. Limited depth restricts analysis to quality verification; not suitable for variant discovery but excellent as a reproducibility reference.
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