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.
- A myelin-related transcriptomic profile is shared by Pitt–Hopkin... 2020 · 152 cites
Deep data QC
99/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Mouse bulk RNA-seq generated on an Illumina HiSeq 2000 platform yielded 246 million short reads (~12 billion bases total) with strong quality (95.6% Q30, 98.4% Q20), enabling comprehensive transcriptome characterization. The large sample coverage supports robust differential expression analysis and is suitable for meta-analyses integrating multiple RNA-seq experiments in murine systems.
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