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
72/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Large-scale metagenome RNA-seq via Illumina NovaSeq 6000, delivering 3.9 billion short reads totaling 1.16 trillion bases with excellent quality (98.4% Q20, 95.5% Q30). Enables comprehensive functional profiling and gene expression surveys across complex microbial communities or environmental samples; the 50.4% GC and minimal N-content (0.001%) indicate high-fidelity library preparation. This massive dataset supports both abundant and rare transcript discovery and supports cross-sample comparative transcriptomics with minimal sequencing bias.
The C 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