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
95/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq from Megachile rotundata on HiSeq 2000 with 3.9M reads and elevated 0.197% N content alongside 95.7% Q20, 89.6% Q30, requiring N-trimming before alignment. The 795M bases and 42.5% GC enable targeted expression profiling of solitary bee pollinators though lower read count limits comprehensive coverage. Reusable for candidate-gene studies or transcript-abundance surveys in Megachile reproduction and foraging behavior.
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