Bayesian hidden Markov models to identify RNA-protein interaction sites in PAR-CLIP.

@article{Yun2014BayesianHM,
  title={Bayesian hidden Markov models to identify RNA-protein interaction sites in PAR-CLIP.},
  author={Jonghyun Yun and Tao Wang and Guanghua Xiao},
  journal={Biometrics},
  year={2014},
  volume={70 2},
  pages={430-40}
}
The photoactivatable ribonucleoside enhanced cross-linking immunoprecipitation (PAR-CLIP) has been increasingly used for the global mapping of RNA-protein interaction sites. There are two key features of the PAR-CLIP experiments: The sequence read tags are likely to form an enriched peak around each RNA-protein interaction site; and the cross-linking procedure is likely to introduce a specific mutation in each sequence read tag at the interaction site. Several ad hoc methods have been developed… CONTINUE READING
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Revised October 2013

  • Received May
  • Accepted December 2013.
  • 2013

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