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A probabilistic model for the evolution of RNA structure

Abstract:

Background. For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence stochastic grammars (and hence multiple alignment algorithms) systematically, starting from hypotheses about the various kinds of random mutation event and their rates. Results. Here, we consider a highly simplified evolutionary model for RNA, called “The TKF91 Structure Tree” (following Thorne, Kishino and Felsenste...

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  • (pdf, 785.8kb)
Journal:
BMC Bioinformatics 2004
Publication date:
2004
Local pid:
ora:739

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