The Essential Components of a Successful Galaxy Service
Driven by advances in data generation technologies and fuelled by radical reduction in costs, genomics has become a data science. Nonetheless the field of genomics has been restrained by the ability to analyse data. Science gateways, such as Galaxy, have the potential to enable bench biologists to a...
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Veröffentlicht in: | Journal of grid computing 2016-12, Vol.14 (4), p.533-543 |
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creator | McGrath, Annette McMahon, Steve Li, Sean Ludbey, Joel Ho, Tim |
description | Driven by advances in data generation technologies and fuelled by radical reduction in costs, genomics has become a data science. Nonetheless the field of genomics has been restrained by the ability to analyse data. Science gateways, such as Galaxy, have the potential to enable bench biologists to analyse their own data without needing be familiar with the command line. Implementing a production scale Galaxy service, sufficiently well-featured and resourced to meet the needs of the end-users, is a significant undertaking and requires the consideration and combination of a number of factors to be successfully adopted by the community. In this paper, we describe the process that we undertook to implement a Galaxy service and describe what we consider to be the essential components of such a service. Our experience and insights will be of interest to those who are planning on implementing a science gateway service in a research organisation. |
doi_str_mv | 10.1007/s10723-016-9379-6 |
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subjects | Benches Biologists Communities Computational grids Computer Science Costs Data analysis End users Galaxies Genomics Management of Computing and Information Systems Processor Architectures Radicals User Interfaces and Human Computer Interaction |
title | The Essential Components of a Successful Galaxy Service |
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