omniCLIP: Bayesian identification of protein-RNA interactions from CLIP-Seq data
Abstract
High-throughput immunoprecipitation methods to analyze RNA binding protein - RNA in-teractions and modifications have great potential to further the understanding of post-tran-scriptional gene regulation. Due to the differences between individual approaches, each of a diverse number of computational methods can typically be applied to only one specific se-quencing protocol. Here, we present a Bayesian model called omniCLIP that can be applied to data from all protocols to detect regulatory elements in RNAs. omniCLIP greatly sim-plifies the data analysis, increases the reliability of results and paves the way for integrative studies based on data from different sources.
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