Federated Galaxy: Biomedical Computing at the Frontier

Enis Afgan, Vahid Jalili, Nuwan Goonasekera, James Taylor, Jeremy Goecks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Biomedical data exploration requires integrative analyses of large datasets using a diverse ecosystem of tools. For more than a decade, the Galaxy project (https://galaxyproject.org) has provided researchers with a web-based, user-friendly, scalable data analysis framework complemented by a rich ecosystem of tools (https://usegalaxy.org/toolshed) used to perform genomic, proteomic, metabolomic, and imaging experiments. Galaxy can be deployed on the cloud (https://launch.usegalaxy.org), institutional computing clusters, and personal computers, or readily used on a number of public servers (e.g., https://usegalaxy.org). In this paper, we present our plan and progress towards creating Galaxy-as-a-Service-a federation of distributed data and computing resources into a panoptic analysis platform. Users can leverage a pool of public and institutional resources, in addition to plugging-in their private resources, helping answer the challenge of resource divergence across various Galaxy instances and enabling seamless analysis of biomedical data.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781538672358
StatePublished - Sep 7 2018
Event11th IEEE International Conference on Cloud Computing, CLOUD 2018 - San Francisco, United States
Duration: Jul 2 2018Jul 7 2018

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190


Other11th IEEE International Conference on Cloud Computing, CLOUD 2018
Country/TerritoryUnited States
CitySan Francisco


  • Cloud bursting
  • Data federation
  • Service computing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software


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