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
46/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Cotton (Gossypium barbadense) bulk RNA-seq on HiSeq 2000 spans 126 billion bases (739 million reads) with substantially lower quality (71% Q30 bases), suggesting potential platform or sample degradation issues. The large volume of sequence data enables broad transcript discovery despite quality concerns, but variant calling and splice-site detection would require stringent filtering; best suited to transcript assembly and abundance estimates.
The F 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