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Related Experiment Video

Updated: Oct 24, 2025

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Federated Galaxy: Biomedical Computing at the Frontier.

Enis Afgan1, Vahid Jalili2, Nuwan Goonasekera3

  • 1Department of Biology, Johns Hopkins University, Baltimore, MD, USA.

Proceedings. IEEE International Conference on Cloud Computing
|August 13, 2021
PubMed
Summary

The Galaxy project offers a scalable, user-friendly platform for biomedical data analysis. Galaxy-as-a-Service aims to federate distributed resources for seamless, integrated analysis of large datasets.

Keywords:
cloud burstingdata federationservice computing

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Biomedical data exploration necessitates integrative analyses of large, diverse datasets.
  • The Galaxy project has provided a decade of web-based, scalable data analysis framework for genomics, proteomics, metabolomics, and imaging.
  • Galaxy supports deployment on cloud, institutional clusters, personal computers, and public servers.

Purpose of the Study:

  • To present the plan and progress for creating Galaxy-as-a-Service.
  • To establish a federated, panoptic analysis platform integrating distributed data and computing resources.
  • To address resource divergence across Galaxy instances and enable seamless biomedical data analysis.

Main Methods:

  • Developing a federation of distributed data and computing resources.
  • Integrating public, institutional, and private user resources into a unified platform.
  • Leveraging the existing Galaxy framework and its tool ecosystem.

Main Results:

  • Progress towards creating a federated Galaxy-as-a-Service platform.
  • Enabling users to leverage diverse public, institutional, and private resources.
  • Facilitating seamless analysis of biomedical data through resource integration.

Conclusions:

  • Galaxy-as-a-Service will provide a panoptic analysis platform for biomedical research.
  • Federating resources addresses challenges of resource divergence in Galaxy instances.
  • This approach enhances the scalability and accessibility of complex biomedical data analysis.