%0 Journal Article
%T The RNA workbench 2.0: next generation RNA data analysis
%A Andrea Bagnacani
%A Bj£¿rn Gr¨¹ning
%A B¨¦r¨¦nice Batut
%A Florian Eggenhofer
%A J£¿rg Fallmann
%A Maria A Doyle
%A Pavankumar Videm
%A Peter F Stadler
%A Rolf Backofen
%A Tomas Klingstrom
%J Archive of "Nucleic Acids Research".
%D 2019
%R 10.1093/nar/gkz353
%X RNA has become one of the major research topics in molecular biology. As a central player in key processes regulating gene expression, RNA is in the focus of many efforts to decipher the pathways that govern the transition of genetic information to a fully functional cell. As more and more researchers join this endeavour, there is a rapidly growing demand for comprehensive collections of tools that cover the diverse layers of RNA-related research. However, increasing amounts of data, from diverse types of experiments, addressing different aspects of biological questions need to be consolidated and integrated into a single framework. Only then is it possible to connect findings from e.g. RNA-Seq experiments and methods for e.g. target predictions. To address these needs, we present the RNA Workbench 2.0£¿, an updated online resource for RNA related analysis. With the RNA Workbench we created a comprehensive set of analysis tools and workflows that enables researchers to analyze their data without the need for sophisticated command-line skills. This update takes the established framework to the next level, providing not only a containerized infrastructure for analysis, but also a ready-to-use platform for hands-on training, analysis, data exploration, and visualization. The new framework is available at https://rna.usegalaxy.eu£¿, and login is free and open to all users. The containerized version can be found at https://github.com/bgruening/galaxy-rna-workbench
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602469/