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
90/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
SARS-CoV-2 amplicon sequencing from a NovaSeq 6000 with ~6.2 million reads but notably lower quality (86.9% Q30). While the higher sequencing depth aids viral quasi-species detection, the reduced base quality requires stringent quality filtering for variant confidence scoring in epidemiological applications.
The A 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