GSE144870
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
83/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human RNA-seq with anomalously short 6 bp reads indicates sequencing error, platform misconfiguration, or highly fragmented template RNA. Although Q20 reached 98.8% and Q30 reached 97.7%, the read length is too short for reliable transcript mapping; this dataset offers minimal utility and likely represents failed QC or an experimental artifact rather than biologically interpretable transcriptome data.
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
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.