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
69/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
NextSeq 500 bulk RNA-seq from Aedes aegypti generates ~41.9 million short reads (3.18 billion bases, 90.1% Q30), high coverage enabling comprehensive gene expression profiling in this disease vector. This dataset supports differential expression analysis and detection of even low-abundance transcripts. Bulk sequencing limits cellular resolution; reuse is excellent for tissue-level or condition-level transcriptomic studies of Aedes biology.
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