title: Pairwise RNA structure comparison with stochastic context-free grammars.
abstract: Pairwise stochastic context-free grammars ("Pair SCFGs") are powerful tools for finding conserved RNA structures, but unconstrained alignment to Pair SCFGs is prohibitively expensive. We develop versions of the Pair SCFG dynamic programming algorithms that can be conditioned on precomputed structures, significantly reducing the time complexity of alignment. We have implemented these algorithms for general Pair SCFGs in software that is freely available under the GNU Public License.
authors.forename: I
authors.initials: I
authors.lastname: Holmes
authors.forename: G M
authors.initials: GM
authors.lastname: Rubin
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008957:Models, Genetic; D011336:Probability; D012313:RNA / Q000737:chemistry* / Q000235:genetics*; D013269:Stochastic Processes
chemical_list: D012313:RNA