RNA-binding proteins (RBPs) function in all aspects of RNA processes including stability, structure, export, localization and translation, and control gene expression at the posttranscriptional level. To investigate the roles of RBPs and their direct RNA ligands in vivo, recent global approaches combining RNA immunoprecipitation and deep sequencing (RIP-seq) as well as UV-cross-linking (CLIP-seq) have become instrumental in dissecting RNA-protein interactions. However, the computational analysis of these high-throughput sequencing data is still challenging. Here, we provide a computational pipeline to analyze CLIP-seq and RIP-seq datasets. This generic analytic procedure may help accelerate the identification of direct RNA-protein interactions from high-throughput RBP profiling experiments in a variety of bacterial species.
Keywords: Bioinformatics; CLIP-seq; CsrA; Hfq; ProQ; RIP-seq; RNA-seq; ncRNA; sRNA.