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
87/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
WGS short-read data (Lactobacillus crispatus), grade B with 24% duplication rate as the key degrader. For a small bacterial genome, 24% duplication suggests overamplification or bottleneck and will bias abundance quantification. Excellent Q30 metrics (97.2%) and long read length (221bp) support reuse if copy-number sensitive analyses are avoided.
The B grade is a transparent weighted average. Each metric below scored from 0–100% against the published WGS 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