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.
- Low MITF/AXL ratio predicts early resistance to multiple targete... 2014 · 637 cites
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human 49 bp single-end RNA-seq with strong quality metrics (Q30: 96.5%, mean 37.8) and minimal adapter content, indicating well-optimized rapid sequencing. Balanced GC composition (48.4%) supports unbiased transcript detection. Searchable for human targeted or cost-effective bulk transcriptomics applications.
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