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
89/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This second Aspergillus niger RNA-Seq on BGISEQ-500 covers 6.4 Gb with 42.4 million reads at comparable quality (95.4% Q20, 85% Q30), offering a biological replicate or condition-specific expression snapshot in this industrially exploited fungus. The dataset pair enables robust differential-expression analysis and validates gene-expression patterns across growth conditions. Fungal transcriptomics studies investigating enzyme production, development, or stress responses can integrate both BGISEQ datasets for deeper mechanistic insights.
The B 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