Published in

Oxford University Press (OUP), Bioinformatics, 24(24), p. 2849-2856

DOI: 10.1093/bioinformatics/btn544

Links

Tools

Export citation

Search in Google Scholar

IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions

Journal article published in 2008 by Anke Busch, Andreas S. Richter ORCID, Richter As, Rolf Backofen ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

Motivation: During the last few years, several new small regulatory RNAs (sRNAs) have been discovered in bacteria. Most of them act as post-transcriptional regulators by base pairing to a target mRNA, causing translational repression or activation, or mRNA degradation. Numerous sRNAs have already been identified, but the number of experimentally verified targets is considerably lower. Consequently, computational target prediction is in great demand. Many existing target prediction programs neglect the accessibility of target sites and the existence of a seed, while other approaches are either specialized to certain types of RNAs or too slow for genome-wide searches.