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
60/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Whole-genome short-read sequencing of Salmonella enterica serovar Braenderup on the HiSeq 2500 delivers ~1.4 million reads with improved quality (93.7% Q20, 82.8% Q30) compared to related runs, supporting accurate variant calling and epidemiological strain tracking. The dataset enables SNP-based phylogenetics and identification of antibiotic resistance markers in this foodborne pathogen. Good quality metrics permit confident variant annotation and clinical relevance assessment.
The D 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