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
71/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
HiSeq 2000 bulk RNA-seq from Aedes aegypti produces ~118.2 million short reads (11.94 billion bases, 80% Q30), extremely high coverage with elevated N-content (0.319%) and lower quality requiring significant filtering. This massive dataset supports comprehensive transcriptome profiling after quality control; differential expression studies are feasible with careful error handling. Bulk sequencing lacks cell-type specificity; reuse suits large-scale comparative transcriptomic studies of Aedes.
The C 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