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
95/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Illumina NovaSeq 6000 bulk RNA-seq dataset from Hadronyche infensa comprises 39 million reads and 11.5 billion bases with high quality (96.4% Q20, 90.8% Q30), supporting expressed-sequence-tag (EST) profiling of venom-gland transcriptome. The 40.7% GC and platform enable rapid screening of toxin variants and venom-component regulation. Researchers in toxinology and venomics can exploit this for peptide-candidate discovery and understanding venom-composition evolution.
The A 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