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A probabilistic model for the evolution of RNA structure
Authors:Email author" target="_blank">Ian?HolmesEmail author
Institution:(1) Department of Bioengineering, University of California, Berkeley, CA 94720-1762, USA;(2) Department of Statistics, , 1 South Parks Road, Oxford, OX1 3TG, UK
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.
Keywords:
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