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The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy

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Official URL:https://doi.org/10.1093/nar/gkx409
PubMed:View item in PubMed
Creators Name:Gruening, B.A. and Fallmann, J. and Yusuf, D. and Will, S. and Erxleben, A. and Eggenhofer, F. and Houwaart, T. and Batut, B. and Videm, P. and Bagnacani, A. and Wolfien, M. and Lott, S.C. and Hoogstrate, Y. and Hess, W.R. and Wolkenhauer, O. and Hoffmann, S. and Akalin, A. and Ohler, U. and Stadler, P.F. and Backofen, R.
Journal Title:Nucleic Acids Research
Journal Abbreviation:Nucleic Acids Res
Date:5 June 2017
Abstract:RNA-based regulation has become a major research topic in molecular biology. The analysis of epigenetic and expression data is therefore incomplete if RNA-based regulation is not taken into account. Thus, it is increasingly important but not yet standard to combine RNA-centric data and analysis tools with other types of experimental data such as RNA-seq or ChIP-seq. Here, we present the RNA workbench, a comprehensive set of analysis tools and consolidated workflows that enable the researcher to combine these two worlds. Based on the Galaxy framework the workbench guarantees simple access, easy extension, flexible adaption to personal and security needs, and sophisticated analyses that are independent of command-line knowledge. Currently, it includes more than 50 bioinformatics tools that are dedicated to different research areas of RNA biology including RNA structure analysis, RNA alignment, RNA annotation, RNA-protein interaction, ribosome profiling, RNA-seq analysis and RNA target prediction. The workbench is developed and maintained by experts in RNA bioinformatics and the Galaxy framework. Together with the growing community evolving around this workbench, we are committed to keep the workbench up-to-date for future standards and needs, providing researchers with a reliable and robust framework for RNA data analysis. Availability: The RNA workbench is available at https://github.com/bgruening/galaxy-rna-workbench.
ISSN:0305-1048
Publisher:Oxford University Press (U.K.)
Item Type:Article

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