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
89/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Actinidia arguta (hardy kiwifruit) RNA-Seq on HiSeq 2000 spans 12.1 Gb with 48.5 million reads and excellent quality (97.3% Q20, 94.6% Q30), providing comprehensive transcriptome coverage for this emerging horticultural crop. The dataset supports gene-expression studies related to fruit development, cold tolerance, and nutritional traits. Fruit-crop genomics and horticultural breeding studies can apply this RNA-seq to understand ripening, sugar accumulation, and stress-tolerance mechanisms.
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