Human iPSC-EC differentiation
We performed large-scale single-cell RNA-seq on human iPSCs subjected to endothelial cell differentiation.
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.
- Large-Scale Single-Cell RNA-Seq Reveals Molecular Signatures of... 2018 · 148 cites
Deep data QC
72/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq of Homo sapiens with unavailable instrument details (HTTP error), but moderate quality metrics (86.6% Q30, 98 bp read length, 0.002% N content). This dataset enables human gene expression studies with long reads for isoform identification, though missing platform specifications require GEO contact. The moderate Q30 rate suggests careful quality filtering before analysis.
The C 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