The condition-dependent transcriptome of Bacillus subtilis 168
Recent studies revealed the unsuspected complexity of the bacterial transcriptome but its systematic analysis across many diverse conditions remains a challenge. Here we report the condition-dependent transcriptome of the prototype strain B. subtilis 168 across 104 conditions reflecting the bacterium's life-styles. This data set composed of 269 tiling array hybridizations allowed to observe ~85% of the annotated CDSs expressed in the higher 30% in at least one hybridization and thus provide an e...
Provenance — who produced it, who reused it
Linked to 12 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.
- An experimentally supported model of the Bacillus subtilis globa... 2015 · 221 cites
- Machine learning uncovers independently regulated modules in the... 2020 · 96 cites
- High-performance single-cell gene regulatory network inference a... 2022 · 78 cites
- Multi-study inference of regulatory networks for more accurate m... 2019 · 77 cites
8 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently