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
98/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This HiSeq 4000 RNA-seq from the water strider Microvelia longipes delivered 50.4M reads spanning 15.1B bases with 96.9% Q20 and 92.1% Q30, enabling very-high-depth transcriptome profiling for studying aquatic-insect physiology and predatory behavior. The 37.9% GC is within typical insect range. Reuse is excellent for comparative hemipteran genomics and identifying neuro-sensory genes; the exceptional read count enables rare-isoform detection.
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