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
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This bulk RNA-Seq of Magallana gigas (Pacific oyster) on HiSeq 2000 spans 3.6 Gb with 20 million reads and excellent quality (95.5% Q20, 91.7% Q30), providing clean transcriptome data for this aquaculturally significant bivalve mollusk. The dataset enables gene-expression profiling during reproduction, stress responses, or development in this oyster species. Marine genomics and aquaculture studies investigating gene expression related to growth, immunity, or shell biomineralization can apply this shellfish RNA-seq dataset.
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