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/.
PARalyzer: definition of RNA binding sites from PAR-CLIP short-read sequence data.
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作者:Corcoran David L, Georgiev Stoyan, Mukherjee Neelanjan, Gottwein Eva, Skalsky Rebecca L, Keene Jack D, Ohler Uwe
| 期刊: | Genome Biology | 影响因子: | 9.400 |
| 时间: | 2011 | 起止号: | 2011 Aug 18; 12(8):R79 |
| doi: | 10.1186/gb-2011-12-8-r79 | ||
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