RNA-Pareto: interactive analysis of Pareto-optimal RNA sequence-structure alignments.

Incorporating secondary structure information into the alignment process improves the quality of RNA sequence alignments. Instead of using fixed weighting parameters, sequence and structure components can be treated as different objectives and optimized simultaneously. The result is not a single, but a Pareto-set of equally optimal solutions, which all represent different possible weighting parameters.

Structural RNA alignment by multi-objective optimization.

Motivation: The calculation of reliable alignments for structured RNA is still considered as an open problem. One approach is the incorporation of secondary structure information into the optimization criteria by using a weighted sum of sequence and structure components as an objective function. As it is not clear how to choose the weighting parameters, we use multi-objective optimization to calculate a set of Pareto-optimal RNA sequence-structure alignments.

tRNA-like elements in Haloferax volcanii.

All functional RNAs are generated from precursor molecules by a plethora of processing steps. The generation of mature RNA molecules by processing is an important layer of gene expression regulation catalysed by ribonucleases. Here, we analysed 5S rRNA processing in the halophilic Archaeon Haloferax volcanii.