RNA sequence analysis using covariance models.

@article{Eddy1994RNASA,
  title={RNA sequence analysis using covariance models.},
  author={Sean R. Eddy and R Durbin},
  journal={Nucleic acids research},
  year={1994},
  volume={22 11},
  pages={2079-88}
}
  • Sean R. Eddy, R Durbin
  • Published 1994 in Nucleic acids research
We describe a general approach to several RNA sequence analysis problems using probabilistic models that flexibly describe the secondary structure and primary sequence consensus of an RNA sequence family. We call these models 'covariance models'. A covariance model of tRNA sequences is an extremely sensitive and discriminative tool for searching for additional tRNAs and tRNA-related sequences in sequence databases. A model can be built automatically from an existing sequence alignment. We also… CONTINUE READING
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