@Article{Fallmann_Videm_Bagnacani-The_RNA_workb-NAR2019,
  author =	 {Fallmann, J\"org and Videm, Pavankumar and Bagnacani, Andrea 
                  and Batut, Berenice and Doyle, Maria A. and Klingstrom, 
                  Tomas and Eggenhofer, Florian and Stadler, Peter F. and 
                  Backofen, Rolf and Gr\"uning, Bjorn},
  title =	 {The {RNA} workbench 2.0: next generation {RNA} data 
                  analysis},
  journal =	 NAR,
  year =	 {2019},
  volume =	 {47},
  number =	 {W1},
  pages =	 {W511-W515},
  user =	 {egg},
  pmid =	 {31073612},
  doi = 	 {10.1093/nar/gkz353},
  issn = 	 {1362-4962},
  issn = 	 {0305-1048},
  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.}
}