TY - JOUR T1 - omniCLIP: Bayesian identification of protein-RNA interactions from CLIP-Seq data JF - bioRxiv DO - 10.1101/161877 SP - 161877 AU - Philipp Drewe-Boss AU - Hans-Hermann Wessels AU - Uwe Ohler Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/07/11/161877.abstract N2 - 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. ER -