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
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Bemisia tabaci (sweetpotato whitefly) bulk RNA-Seq on HiSeq 2500 covers 1.2 Gb with 12 million reads and good quality (98.1% Q20, 93.5% Q30), providing transcriptome data for this globally important agricultural pest. The dataset enables expression studies of host plant interactions and pesticide resistance. Arthropod-pest research can use this whitefly RNA-seq.
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