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
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This human bulk RNA-Seq on HiSeq 2000 spans 16.8 Gb with 83.9 million reads and good quality (97.5% Q20, 92.8% Q30), providing substantial human transcriptome coverage for disease-state, tissue-type, or treatment-condition studies. The large read count enables rare-transcript detection. Human gene-expression and medical-genomics studies can leverage this deep human RNA-seq.
The A 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