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
93/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Illumina MiSeq bulk RNA-seq dataset from Enterobacter bugandensis provides 50.7 million reads and 15 billion bases with good quality (94% Q20, 86.7% Q30), enabling bacterial transcriptome profiling for metabolic pathway activation and virulence-factor expression analysis. The 54.6% GC and deep sequencing support detecting stress responses and regulatory transitions across growth conditions. Reusers should confirm whether the library was strand-specific and specify culture conditions (media, temperature, oxygen status) to contextualize differential expression results.
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