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Journal Article

PureCLIP: Capturing target-specific protein-RNA interaction footprints from single-nucleotide CLIP-seq data

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Marsico,  Annalisa
RNA Bioinformatics (Annalisa Marsico), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Citation

Krakau, S., Richard, H., & Marsico, A. (2017). PureCLIP: Capturing target-specific protein-RNA interaction footprints from single-nucleotide CLIP-seq data. Genome Biology, 18(1): 1:240. doi:10.1186/s13059-017-1364-2.


Cite as: http://hdl.handle.net/21.11116/0000-0000-F6B0-3
Abstract
The iCLIP and eCLIP techniques facilitate the detection of protein-RNA interaction sites at high resolution, based on diagnostic events at crosslink sites. However, previous methods do not explicitly model the specifics of iCLIP and eCLIP truncation patterns and possible biases. We developed PureCLIP ( https://github.com/skrakau/PureCLIP ), a hidden Markov model based approach, which simultaneously performs peak-calling and individual crosslink site detection. It explicitly incorporates a non-specific background signal and, for the first time, non-specific sequence biases. On both simulated and real data, PureCLIP is more accurate in calling crosslink sites than other state-of-the-art methods and has a higher agreement across replicates.