GSE107149
GEOProvenance — 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
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human RNA-seq with 84.5 bp reads achieved 95.2% Q20 and 92.6% Q30 across 1.3 billion bases, providing reasonable quality for transcript mapping. The 0.003% N-content and 48.1% GC are typical of human transcriptomes, though the moderate mean quality (34.1) suggests some basecalls are of marginal confidence; suitable for abundance studies but not for base-level variant discovery.
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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.