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
47/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Canis lupus familiaris (domestic dog) whole-genome sequencing via Illumina HiSeq 2500 with 389.3 million reads and 77.5 billion bases at moderate quality (87.9% Q20, 31.4% Q30). The low Q30 and elevated N-content (0.047%) are concerning; base accuracy may limit SNP discovery. Users should apply aggressive quality filtering; this dataset suits coarse-scale genotyping and linkage mapping but struggles with rare-variant calling in canine genomics.
The F 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