PARalyzer: definition of RNA binding sites from PAR-CLIP short-read sequence data

David L. Corcoran(Duke University), Stoyan Georgiev(Duke University), Neelanjan Mukherjee(Duke University), Eva Gottwein(Northwestern University), Rebecca L. Skalsky(Duke Medical Center), Jack D. Keene(Duke Medical Center), Uwe Ohler(Duke University)
Genome biology
August 18, 2011
Cited by 363Open Access
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Abstract

Crosslinking and immunoprecipitation (CLIP) protocols have made it possible to identify transcriptome-wide RNA-protein interaction sites. In particular, PAR-CLIP utilizes a photoactivatable nucleoside for more efficient crosslinking. We present an approach, centered on the novel PARalyzer tool, for mapping high-confidence sites from PAR-CLIP deep-sequencing data. We show that PARalyzer delineates sites with a high signal-to-noise ratio. Motif finding identifies the sequence preferences of RNA-binding proteins, as well as seed-matches for highly expressed microRNAs when profiling Argonaute proteins. Our study describes tailored analytical methods and provides guidelines for future efforts to utilize high-throughput sequencing in RNA biology. PARalyzer is available at http://www.genome.duke.edu/labs/ohler/research/PARalyzer/.


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