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

  • Björn A. Grüning
  • , Jörg Fallmann
  • , Dilmurat Yusuf
  • , Sebastian Will
  • , Anika Erxleben
  • , Florian Eggenhofer
  • , Torsten Houwaart
  • , Bérénice Batut
  • , Pavankumar Videm
  • , Andrea Bagnacani
  • , Markus Wolfien
  • , Steffen C. Lott
  • , Youri Hoogstrate
  • , Wolfgang R. Hess
  • , Olaf Wolkenhauer
  • , Steve Hoffmann
  • , Altuna Akalin
  • , Uwe Ohler
  • , Peter F. Stadler
  • , Rolf Backofen
  • Bioinformatics Group
  • University of Freiburg
  • Center for Biological Systems Analysis (ZBSA)
  • Dept. Computer Science
  • University of Leipzig
  • Berlin Institute for Medical Systems Biology
  • Department of Crystallography
  • University of Vienna
  • Department of Systems Biology and Bioinformatics
  • Universität Rostock
  • Genetics and Experimental Bioinformatics
  • Erasmus University Medical Center
  • Departments of Biology and Computer Science
  • Humboldt-Universität zu Berlin
  • Institute for Theoretical Chemistry
  • Max Planck Institute for Mathematics in the Sciences
  • Santa Fe Institute
  • BIOSS Centre for Biological Signalling Studies

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)W560-W566
JournalNucleic Acids Research
Volume45
Issue numberW1
DOIs
Publication statusPublished - 3 Jul 2017
Externally publishedYes

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