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
35/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
NextSeq 550 bulk RNA-seq from Hormaphis cornu yields ~15.6 million short reads (4.69 billion bases, 75% Q30), moderate coverage with notably lower Q30 and Q20 (80.5%), requiring quality consideration. This dataset supports transcript quantification with careful filtering; differential expression studies require attention to sequence quality. Bulk sequencing lacks cell-type specificity; reuse suits focused transcriptomic studies of aphid gene expression.
The F 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