Abstract
ABSTRACTRNA-RNA interactions are key for post-transcriptional gene regulation in all domains of life. While ever more experimental protocols are being developed to study RNA-RNA interactions on a genome-wide scale, computational methods to analyze the underlying data are lagging behind. Here, we present ChimericFragments, an analysis and visualization framework for RNA-seq experiments producing chimeric RNA molecules. ChimericFragments implements a novel statistical method based on the complementarity of the base-pairing RNAs around their ligation site and is compatible with several widely used experimental procedures. We demonstrate that ChimericFragments enables the systematic identification of RNA regulators and RNA-RNA pairs and outperforms existing approaches.
Publisher
Cold Spring Harbor Laboratory