ReviewRNA biology2014
Bioinformatics of prokaryotic RNAs.
Review in RNA biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- TSSpredator-Web: A web-application for transcription start site prediction and exploration.PloS one · 2026Article
- A conserved uORF in theMicrobial genomics · 2023Article
- Prokaryotic Genome Annotation.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Non-coding RNAs Potentially Controlling Cell Cycle in the ModelFrontiers in genetics · 2018Article
- Search for 5'-leader regulatory RNA structures based on gene annotation aided by the RiboGap database.Methods (San Diego, Calif.) · 2017Article
- Small RNA interactome of pathogenic E. coli revealed through crosslinking of RNase E.The EMBO journal · 2017Article
- In silico discovery and modeling of non-coding RNA structure in viruses.Methods (San Diego, Calif.) · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The genome of most prokaryotes gives rise to surprisingly complex transcriptomes, comprising not only protein-coding mRNAs, often organized as operons, but also harbors dozens or even hundreds of highly structured small regulatory RNAs and unexpectedly large levels of anti-sense transcripts. Comprehensive surveys of prokaryotic transcriptomes and the need to characterize also their non-coding components is heavily dependent on computational methods and workflows, many of which have been developed or at least adapted specifically for the use with bacterial and archaeal data. This review provides an overview on the state-of-the-art of RNA bioinformatics focusing on applications to prokaryotes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.