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
83/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Small-scale bulk RNA-seq of Homo sapiens via HiSeq 2000 with only ~6M short reads but exceptional base quality (98.8% Q30, 0.002% N content). This dataset likely represents targeted sequencing of specific transcripts or a single tissue sample rather than comprehensive transcriptomics. Researchers considering reuse should verify the experimental design and whether read depth is sufficient for robust differential expression analysis in their intended application.
The B 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