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
64/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This bulk RNA-Seq of Acinetobacter baumannii ATCC 17978 on HiSeq 2000 covers 226 Mb with 2.3 million reads and moderate quality (89.2% Q20, 85.1% Q30), creating a small bacterial transcriptome snapshot. The modest read count limits dynamic-range and limits detection of lowly expressed genes. Microbial transcriptomics researchers should supplement this A. baumannii RNA-seq with deeper datasets for comprehensive pathway analysis.
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