@article{gkz353,
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 = {Nucleic Acids Research},
year = {2019},
doi = {10.1093/nar/gkz353},
user = {videmp},
month = {05},
issn = {0305-1048},
eprint = {http://oup.prod.sis.lan/nar/advance-article-pdf/doi/10.1093/nar/gkz353/28578734/gkz353.pdf},
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.}
}