%0 Journal Article %A Philipp Drewe-Boss %A Hans-Hermann Wessels %A Uwe Ohler %T omniCLIP: Bayesian identification of protein-RNA interactions from CLIP-Seq data %D 2017 %R 10.1101/161877 %J bioRxiv %P 161877 %X 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. %U https://www.biorxiv.org/content/biorxiv/early/2017/07/11/161877.full.pdf