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.
- Odd skipped-related 1 identifies a population of embryonic fibro... 2017 · 136 cites
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Mouse bulk RNA-seq from a HiSeq 2500 platform generated 282 million short reads (28.3 billion bases total) with exceptional quality (97.3% Q30, 99% Q20), enabling sensitive transcriptome measurement. The high-quality, moderately-scaled dataset is suitable for reuse in differential expression studies and is ideal for integration into meta-analyses combining multiple mouse RNA-seq experiments.
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