NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

Author:

de Koning Willem12ORCID,Miladi Milad3ORCID,Hiltemann Saskia1ORCID,Heikema Astrid4ORCID,Hays John P4ORCID,Flemming Stephan3,van den Beek Marius5ORCID,Mustafa Dana A2ORCID,Backofen Rolf3ORCID,Grüning Björn3ORCID,Stubbs Andrew P1ORCID

Affiliation:

1. Department of Pathology, Clinical Bioinformatics Unit, Erasmus University Medical Centre, Wytemaweg 80, 3015 CN, Rotterdam, the Netherlands

2. Department of Pathology, Tumor Immuno-Pathology Laboratory, Erasmus University Medical Centre, ’s Gravendijkwal 230, 3015 CE, Rotterdam, the Netherlands

3. Department of Computer Science, Bioinformatics Group, University of Freiburg, 79110 Freiburg im Breisgau, Germany

4. Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre, ’s Gravendijkwal 230, 3015 CE, Rotterdam, the Netherlands

5. Department of Stem Cells and Tissue Homeostasis, Institut Curie, PSL Research University, 75005 Paris, France

Abstract

Abstract Background Long-read sequencing can be applied to generate very long contigs and even completely assembled genomes at relatively low cost and with minimal sample preparation. As a result, long-read sequencing platforms are becoming more popular. In this respect, the Oxford Nanopore Technologies–based long-read sequencing “nanopore" platform is becoming a widely used tool with a broad range of applications and end-users. However, the need to explore and manipulate the complex data generated by long-read sequencing platforms necessitates accompanying specialized bioinformatics platforms and tools to process the long-read data correctly. Importantly, such tools should additionally help democratize bioinformatics analysis by enabling easy access and ease-of-use solutions for researchers. Results The Galaxy platform provides a user-friendly interface to computational command line–based tools, handles the software dependencies, and provides refined workflows. The users do not have to possess programming experience or extended computer skills. The interface enables researchers to perform powerful bioinformatics analysis, including the assembly and analysis of short- or long-read sequence data. The newly developed “NanoGalaxy" is a Galaxy-based toolkit for analysing long-read sequencing data, which is suitable for diverse applications, including de novo genome assembly from genomic, metagenomic, and plasmid sequence reads. Conclusions A range of best-practice tools and workflows for long-read sequence genome assembly has been integrated into a NanoGalaxy platform to facilitate easy access and use of bioinformatics tools for researchers. NanoGalaxy is freely available at the European Galaxy server https://nanopore.usegalaxy.eu with supporting self-learning training material available at https://training.galaxyproject.org.

Funder

Horizon 2020 Framework Programme

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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