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
62/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This HiSeq 4000 RNA-seq from the beetle Tribolium castaneum achieved perfect Q20 and Q30 (100%) across 8.3M reads and 329M bases, ideal for studying developmental and physiological gene expression in this model insect. The minimal error rate is exceptional and enables confident rare-transcript detection. Reuse is excellent for comparative genomics and developmental transcriptomics; the high quality suggests careful sample handling and library preparation.
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