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
72/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Illumina NovaSeq 6000 amplicon sequencing run for SARS-CoV-2 produced 2.9 million short reads (875.4 million bases) with exceptional quality (98.7% Q20, 95.7% Q30), leveraging the NovaSeq platform's higher throughput than NextSeq instruments. Minimal N-content indicates pristine amplicon preparation. Higher read count supports deeper per-amplicon coverage and allows multiplexing of more samples simultaneously without sacrificing sequencing depth.
The C 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