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
99/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
HiSeq 2500 short-read RNA-seq of Megalopta genalis (nocturnal bee) with 15.1 million reads and 95.4% Q30 provides excellent-quality transcriptomics for this visually specialized nocturnal pollinator, enabling sensory-gene and vision-pathway profiling. The 43.7% GC and high data quality support isoform-level discovery of genes underlying low-light vision and ecological adaptation to night-flowering plants.
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