Abstract Motivation : Abstract shape analysis, first proposed in 2004, allows one to extract several relevant structures from the folding space of an RNA sequence, preferable to focusing in a single structure of minimal free energy. We report recent extensions to this approach. Results : We have rebuilt the original RNA shapes as a repository of components that allows us to integrate several established tools for RNA structure analysis: RNA shapes , RNA alishapes and pknots RG, including its recent extension p K iss . As a spin-off, we obtain heretofore unavailable functionality: e. g. with p K iss , we can now perform abstract shape analysis for structures holding pseudoknots up to the complexity of kissing hairpin motifs. The new tool p A li K iss can predict kissing hairpin motifs from aligned sequences. Along with the integration, the functionality of the tools was also extended in manifold ways. Availability and implementation : As before, the tool is available on the Bielefeld Bioinformatics server at http://bibiserv.cebitec.uni-bielefeld.de/rnashapesstudio . Contact : bibi-help@cebitec.uni-bielefeld.de
【초록키워드】 Structure, motivation, RNA, implementation, predict, Analysis, motifs, Repository, Abstract, component, extension, motif, RNA sequence, approach, Result, aligned, Bielefeld, 【제목키워드】 RNA,