The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update

Author:

Jalili Vahid1ORCID,Afgan Enis2,Gu Qiang1,Clements Dave2,Blankenberg Daniel3ORCID,Goecks Jeremy1ORCID,Taylor James2,Nekrutenko Anton4ORCID

Affiliation:

1. Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA

2. Department of Biology, Johns Hopkins University, Baltimore, MD, USA

3. Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA

4. Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA

Abstract

Abstract Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a global community focused on achieving accessible, reproducible, and collaborative research. Together, this community develops the Galaxy software framework, integrates analysis tools and visualizations into the framework, runs public servers that make Galaxy available via a web browser, performs and publishes analyses using Galaxy, leads bioinformatics workshops that introduce and use Galaxy, and develops interactive training materials for Galaxy. Over the last two years, all aspects of the Galaxy project have grown: code contributions, tools integrated, users, and training materials. Key advances in Galaxy's user interface include enhancements for analyzing large dataset collections as well as interactive tools for exploratory data analysis. Extensions to Galaxy's framework include support for federated identity and access management and increased ability to distribute analysis jobs to remote resources. New community resources include large public servers in Europe and Australia, an increasing number of regional and local Galaxy communities, and substantial growth in the Galaxy Training Network.

Funder

NIH

NSF

German Federal Ministry of Education and Research

Bioplatforms Australia

Australian Research Data Commons

Publisher

Oxford University Press (OUP)

Subject

Genetics

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2. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2;Love;Genome Biol.,2014

3. Jupyter Notebooks-a publishing format for reproducible computational workflows;Kluyver,2016

4. Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers;Grüning;PLoS Comput. Biol.,2017

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