(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.