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
HiSeq 2000 bulk RNA-seq from Aedes aegypti produces ~94.2 million short reads (9.51 billion bases, 79% Q30), very high coverage with elevated N-content (0.102%) and notably lower quality requiring significant filtering. This massive dataset supports comprehensive transcriptome profiling after quality control; differential expression studies require careful error handling. Bulk sequencing lacks cell-type specificity; reuse suits large-scale comparative transcriptomic studies of Aedes.
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