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
97/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
NovaSeq 6000 bulk RNA-seq of the whitefly Bemisia tabaci produced 31.7M high-quality reads (5.7 Gb) with minimal errors (98.6% Q20, zero N-content), enabling deep gene expression profiling and confident detection of lowly-expressed transcripts. The 42% GC and clean library preparation make this dataset well-suited for pest transcriptome annotation and expression-based functional studies.
The A 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