Bioinformatics of prokaryotic RNAs

Rolf Backofen, Fabian Amman, Fabrizio Costa, Sven Findeiß, Andreas S Richter, Peter F Stadler
<span title="2014-04-02">2014</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2gz5p7hhszcttc2a7kuvirxupu" style="color: black;">RNA Biology</a> </i> &nbsp;
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 its non-coding components is heavily dependent on computational methods and workflows, many of which have been developed
more &raquo; ... r at least adapted specifically for the use with eubacterial and archaeal data. This review provides on overview on the state of the art of RNA bioinformatics focussing on applications to prokaryotes.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4161/rna.28647">doi:10.4161/rna.28647</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24755880">pmid:24755880</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4152356/">pmcid:PMC4152356</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5mwl6uhug5ga3pznryreryz7bu">fatcat:5mwl6uhug5ga3pznryreryz7bu</a> </span>
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