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
73/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This human RNA-Seq on HiSeq 2000 covers 750 Mb with 15.6 million reads showing elevated N-content (0.626%) but perfect Q30 (100%), creating an unusual quality paradox suggestive of problematic base composition or library bias. The dataset's small size and ambiguous quality profile limit broad utility. Human transcriptomics studies should prioritize larger, more balanced datasets over this outlier.
The C 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