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

Abstract

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
Pages871-874
Number of pages4
Volume2018-July
ISBN (Electronic)9781538672358
DOIs
StatePublished - Sep 7 2018
Event11th IEEE International Conference on Cloud Computing, CLOUD 2018 - San Francisco, United States
Duration: Jul 2 2018Jul 7 2018

Other

Other11th IEEE International Conference on Cloud Computing, CLOUD 2018
CountryUnited States
CitySan Francisco
Period7/2/187/7/18

Fingerprint

Galaxies
Ecosystems
Cloud computing
Personal computers
Servers
Imaging techniques
Experiments

Keywords

  • Cloud bursting
  • Data federation
  • Service computing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

Cite this

Afgan, E., Jalili, V., Goonasekera, N., Taylor, J., & Goecks, J. (2018). Federated Galaxy: Biomedical Computing at the Frontier. In Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services (Vol. 2018-July, pp. 871-874). [8457892] IEEE Computer Society. https://doi.org/10.1109/CLOUD.2018.00124

Federated Galaxy : Biomedical Computing at the Frontier. / Afgan, Enis; Jalili, Vahid; Goonasekera, Nuwan; Taylor, James; Goecks, Jeremy.

Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services. Vol. 2018-July IEEE Computer Society, 2018. p. 871-874 8457892.

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

Afgan, E, Jalili, V, Goonasekera, N, Taylor, J & Goecks, J 2018, Federated Galaxy: Biomedical Computing at the Frontier. in Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services. vol. 2018-July, 8457892, IEEE Computer Society, pp. 871-874, 11th IEEE International Conference on Cloud Computing, CLOUD 2018, San Francisco, United States, 7/2/18. https://doi.org/10.1109/CLOUD.2018.00124
Afgan E, Jalili V, Goonasekera N, Taylor J, Goecks J. Federated Galaxy: Biomedical Computing at the Frontier. In Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services. Vol. 2018-July. IEEE Computer Society. 2018. p. 871-874. 8457892 https://doi.org/10.1109/CLOUD.2018.00124
Afgan, Enis ; Jalili, Vahid ; Goonasekera, Nuwan ; Taylor, James ; Goecks, Jeremy. / Federated Galaxy : Biomedical Computing at the Frontier. Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services. Vol. 2018-July IEEE Computer Society, 2018. pp. 871-874
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