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The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy
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 tool...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570170/ https://www.ncbi.nlm.nih.gov/pubmed/28582575 http://dx.doi.org/10.1093/nar/gkx409 |
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author | Grüning, Björn A. Fallmann, Jörg Yusuf, Dilmurat Will, Sebastian Erxleben, Anika Eggenhofer, Florian Houwaart, Torsten Batut, Bérénice Videm, Pavankumar Bagnacani, Andrea Wolfien, Markus Lott, Steffen C. Hoogstrate, Youri Hess, Wolfgang R. Wolkenhauer, Olaf Hoffmann, Steve Akalin, Altuna Ohler, Uwe Stadler, Peter F. Backofen, Rolf |
author_facet | Grüning, Björn A. Fallmann, Jörg Yusuf, Dilmurat Will, Sebastian Erxleben, Anika Eggenhofer, Florian Houwaart, Torsten Batut, Bérénice Videm, Pavankumar Bagnacani, Andrea Wolfien, Markus Lott, Steffen C. Hoogstrate, Youri Hess, Wolfgang R. Wolkenhauer, Olaf Hoffmann, Steve Akalin, Altuna Ohler, Uwe Stadler, Peter F. Backofen, Rolf |
author_sort | Grüning, Björn A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5570170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55701702017-08-29 The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy Grüning, Björn A. Fallmann, Jörg Yusuf, Dilmurat Will, Sebastian Erxleben, Anika Eggenhofer, Florian Houwaart, Torsten Batut, Bérénice Videm, Pavankumar Bagnacani, Andrea Wolfien, Markus Lott, Steffen C. Hoogstrate, Youri Hess, Wolfgang R. Wolkenhauer, Olaf Hoffmann, Steve Akalin, Altuna Ohler, Uwe Stadler, Peter F. Backofen, Rolf Nucleic Acids Res Web Server Issue 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. Oxford University Press 2017-07-03 2017-06-05 /pmc/articles/PMC5570170/ /pubmed/28582575 http://dx.doi.org/10.1093/nar/gkx409 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Grüning, Björn A. Fallmann, Jörg Yusuf, Dilmurat Will, Sebastian Erxleben, Anika Eggenhofer, Florian Houwaart, Torsten Batut, Bérénice Videm, Pavankumar Bagnacani, Andrea Wolfien, Markus Lott, Steffen C. Hoogstrate, Youri Hess, Wolfgang R. Wolkenhauer, Olaf Hoffmann, Steve Akalin, Altuna Ohler, Uwe Stadler, Peter F. Backofen, Rolf The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy |
title | The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy |
title_full | The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy |
title_fullStr | The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy |
title_full_unstemmed | The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy |
title_short | The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy |
title_sort | rna workbench: best practices for rna and high-throughput sequencing bioinformatics in galaxy |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570170/ https://www.ncbi.nlm.nih.gov/pubmed/28582575 http://dx.doi.org/10.1093/nar/gkx409 |
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