RNA 3D Modules in Genome-Wide Predictions of RNA 2D Structure.

ABSTRACT: Recent experimental and computational progress has revealed a large potential for RNA structure in the genome. This has been driven by computational strategies that exploit multiple genomes of related organisms to identify common sequences and secondary structures. However, these computational approaches have two main challenges: they are computationally expensive and they have a relatively high false discovery rate (FDR). Simultaneously, RNA 3D structure analysis has revealed modules composed of non-canonical base pairs which occur in non-homologous positions, apparently by independent evolution. These modules can, for example, occur inside structural elements which in RNA 2D predictions appear as internal loops. Hence one question is if the use of such RNA 3D information can improve the

SUBMITTER: Theis C 

PROVIDER: S-EPMC4624896 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature