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 NextSeq 550 amplicon dataset of SARS-CoV-2 provides 1.7 million short reads with moderate-to-good quality (96.7% Q20, 94.6% Q30), totaling 506.0 million bases. The 38.7% GC content aligns with SARS-CoV-2 expectations, and minimal N-content confirms clean amplification. Usable for consensus sequence and variant-calling workflows, though the Q30 rate may necessitate additional filtering for detection of extremely rare variants or intra-host quasispecies.
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