@article{Fallmann_Videm_Bagnacani-The_RNA_workb-NAR2019,
author = {Fallmann, Jörg and Videm, Pavankumar and Bagnacani, Andrea 
          and Batut, Bérénice and Doyle, Maria A. and Klingstrom, 
          Tomas and Eggenhofer, Florian and Stadler, Peter F. and 
          Backofen, Rolf and Grüning, Björn},
title = {The {RNA} workbench 2.0: next generation {RNA} data 
         analysis},
journal = {NAR},
year = {2019},
doi = {10.1093/nar/gkz353},
volume = {47},
user = {egg},
pmid = {31073612},
pages = {W511-W515},
number = {W1},
issn = {1362-4962},
abstract = {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.}
}