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
67/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This HiSeq 2000 RNA-seq from the dengue vector Aedes aegypti produced 11.2M reads across 573M bases with 99.6% Q20 and 98.7% Q30, enabling high-fidelity transcriptome profiling for this important disease vector. The exceptional base quality supports splice-boundary identification and isoform discovery. Reuse is ideal for vector-biology studies; caveat that sample origin (field-collected, lab colony, life stage) significantly impacts comparative applicability.
The D 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