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 (Illumina NovaSeq 6000). Grade D/67—dual failure on adapter content (23.84%, scored 0/100) and duplication (91.84%). These two metrics are absolute bottlenecks: nearly all reads are PCR replicates and contaminated with sequence artifacts; unusable for reliable variant calling without aggressive data filtering or re-sequencing.
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