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
62/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Illumina MiSeq bulk RNA-seq of SARS-CoV-2 generates ~1.1 million reads (~572 Mb) with good quality (90.9% Q20, 87.9% Q30), providing viral-transcriptome snapshot suitable for understanding COVID-19 infection. The dataset is valuable for pandemic-era virology research. Researchers searching for SARS-CoV-2 sequencing or coronavirus transcriptomics will find this relevant.
The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq 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