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 dataset for SARS-CoV-2 is a shallow run with only 33,556 short reads (9.8 million bases) but exceptionally high quality (99.6% Q20, 98.7% Q30). The minimal read count suggests a pilot run, quality-control sample, or single-amplicon validation experiment. While per-base quality is outstanding, this dataset's very limited depth restricts comprehensive variant calling; best suited for rapid confirmation of known variants or as a quality-control benchmark.
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