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
82/100 · BStandardized, 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 yields ~66.9 million short reads (6.75 billion bases, 84.3% Q30), very high coverage enabling comprehensive transcriptome profiling in this disease vector with lower quality requiring filtering. This dataset supports differential expression studies after quality control; sensitive detection requires careful error handling. Bulk sequencing lacks cell-type specificity; reuse suits tissue-level or condition-level transcriptomic studies of Aedes.
The B 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