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
70/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq of Zea mays (maize/corn) via HiSeq 2000 with ~160M short reads spanning ~16 Gb, capturing approximately 79% of bases at Q30 quality. This dataset supports gene expression profiling in an economically important crop with a large, complex genome (~2.7 Gb), useful for developmental or stress-response studies. The moderate Q30 rate and large genome size require careful quality filtering and reference-based read mapping to accurately quantify expression.
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