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.
- MicroRNA Profiling of Neurons Generated Using Induced Pluripoten... 2015 · 102 cites
Deep data QC
67/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human bulk RNA-seq with excellent base quality (97.7% Q30, 99.3% Q20) and 50 bp reads is significantly compromised by extremely high adapter content (90.02%), indicating inadequate library quality or severe processing artifact. Before reuse, stringent adapter removal and careful quality assessment are essential; if successful preprocessing is possible, the underlying sequence data could support expression profiling, but this requires verification.
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