@Article{Sorescu_Mohl_Mann-CARNA_RNA_struc-NAR2012, author = {Dragos A. Sorescu and Mathias M{\"o}hl and Martin Mann and Rolf Backofen and Sebastian Will}, title = {{CARNA} - alignment of {RNA} structure ensembles}, journal = {Nucleic Acids Res}, year = {2012}, volume = {40}, number = {W1}, pages = {W49-W53}, note = {DAS, MM{\"o}, and MMa contributed equally to this work.}, user = {will}, pmid = {22689637}, doi = {10.1093/nar/gks491}, issn = {1362-4962}, issn = {0305-1048}, abstract = {Due to recent algorithmic progress, tools for the gold standard of comparative RNA analysis, namely Sankoff-style simultaneous alignment and folding, are now readily applicable. Such approaches, however, compare RNAs with respect to a simultaneously predicted, single, nested consensus structure. To make multiple alignment of RNAs available in cases, where this limitation of the standard approach is critical, we introduce a web server that provides a complete and convenient interface to the RNA structure alignment tool 'CARNA'. This tool uniquely supports RNAs with multiple conserved structures per RNA and aligns pseudoknots intrinsically; these features are highly desirable for aligning riboswitches, RNAs with conserved folding pathways, or pseudoknots. We represent structural input and output information as base pair probability dot plots; this provides large flexibility in the input, ranging from fixed structures to structure ensembles, and enables immediate visual analysis of the results. In contrast to conventional Sankoff-style approaches, 'CARNA' optimizes all structural similarities in the input simultaneously, for example across an entire RNA structure ensemble. Even compared with already costly Sankoff-style alignment, 'CARNA' solves an intrinsically much harder problem by applying advanced, constraint-based, algorithmic techniques. Although 'CARNA' is specialized to the alignment of RNAs with several conserved structures, its performance on RNAs in general is on par with state-of-the-art general-purpose RNA alignment tools, as we show in a Bralibase 2.1 benchmark. The web server is freely available at http://rna.informatik.uni-freiburg.de/CARNA.} }