TY - GEN
T1 - Federated Galaxy
T2 - 11th IEEE International Conference on Cloud Computing, CLOUD 2018
AU - Afgan, Enis
AU - Jalili, Vahid
AU - Goonasekera, Nuwan
AU - Taylor, James
AU - Goecks, Jeremy
N1 - Funding Information:
ACKNOWLEDGMENT This project is supported through NIH grants HG006620, HG005133, HG004909 and HG005542 as well as NSF grants DBI 0543285, 0850103, 1661497, and Australian National Data Service grant number eRIC07.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/7
Y1 - 2018/9/7
N2 - 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.
AB - 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.
KW - Cloud bursting
KW - Data federation
KW - Service computing
UR - http://www.scopus.com/inward/record.url?scp=85057484979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057484979&partnerID=8YFLogxK
U2 - 10.1109/CLOUD.2018.00124
DO - 10.1109/CLOUD.2018.00124
M3 - Conference contribution
AN - SCOPUS:85057484979
T3 - IEEE International Conference on Cloud Computing, CLOUD
SP - 871
EP - 874
BT - Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services
PB - IEEE Computer Society
Y2 - 2 July 2018 through 7 July 2018
ER -