Full-length RNA profiling reveals pervasive bidirectional transcription terminators in bacteria
The complexity and intricacy of prokaryotic transcriptomes—once deemed well understood and simple—are increasingly being discovered and appreciated. The ability to determine full-length sequences of all transcripts in the cell is essential for understanding the gene regulatory repertoire of a species. Standard RNA-seq requires fragmentation of RNA for short-read sequencing, which automatically decouples the 5' sequence of a RNA molecule from its 3' sequence. Intramolecular ligation of 5' and 3'...
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.
- Full-length RNA profiling reveals pervasive bidirectional transc... 2019 · 118 cites
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