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
68/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
RNA-Seq of Aedes aegypti on an Illumina HiSeq 2000 generates ~4.9 million reads at moderate base quality (88.3% ≥Q20), enabling transcriptome profiling of this disease vector. The moderate read depth and quality support abundance quantification. Reuse requires quality filtering.
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