An Open-source Azure Solution for Scalable Genomics Workflows
We present an open-source Azure solution for running scalable genomics workflows. It benefits from state-of-art distributed workflow framework, container and cloud technologies and allows users to create a cluster that is scaled to suit their workload in minutes. We describe the design decisions, so...
Main Authors: | , , , , , , , , , |
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Format: | Conference item |
Language: | English |
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IEEE
2018
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_version_ | 1826277543629553664 |
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author | Yang-Turner, F Gripper, L Swann, J Do, T Foster, D Volk, D Ramanan, A Robinson, M Peto, T Crook, D |
author_facet | Yang-Turner, F Gripper, L Swann, J Do, T Foster, D Volk, D Ramanan, A Robinson, M Peto, T Crook, D |
author_sort | Yang-Turner, F |
collection | OXFORD |
description | We present an open-source Azure solution for running scalable genomics workflows. It benefits from state-of-art distributed workflow framework, container and cloud technologies and allows users to create a cluster that is scaled to suit their workload in minutes. We describe the design decisions, solution testing and automation options to support a variety of users for their genomic data analytics. The solution demonstrates a generic and customizable approach to run genomic data analytics workflows on a cloud environment. |
first_indexed | 2024-03-06T23:30:29Z |
format | Conference item |
id | oxford-uuid:6bdce85f-5d27-4425-a1b6-c88c191c6902 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-06T23:30:29Z |
publishDate | 2018 |
publisher | IEEE |
record_format | dspace |
spelling | oxford-uuid:6bdce85f-5d27-4425-a1b6-c88c191c69022022-03-26T19:06:57ZAn Open-source Azure Solution for Scalable Genomics WorkflowsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:6bdce85f-5d27-4425-a1b6-c88c191c6902EnglishSymplectic ElementsIEEE2018Yang-Turner, FGripper, LSwann, JDo, TFoster, DVolk, DRamanan, ARobinson, MPeto, TCrook, DWe present an open-source Azure solution for running scalable genomics workflows. It benefits from state-of-art distributed workflow framework, container and cloud technologies and allows users to create a cluster that is scaled to suit their workload in minutes. We describe the design decisions, solution testing and automation options to support a variety of users for their genomic data analytics. The solution demonstrates a generic and customizable approach to run genomic data analytics workflows on a cloud environment. |
spellingShingle | Yang-Turner, F Gripper, L Swann, J Do, T Foster, D Volk, D Ramanan, A Robinson, M Peto, T Crook, D An Open-source Azure Solution for Scalable Genomics Workflows |
title | An Open-source Azure Solution for Scalable Genomics Workflows |
title_full | An Open-source Azure Solution for Scalable Genomics Workflows |
title_fullStr | An Open-source Azure Solution for Scalable Genomics Workflows |
title_full_unstemmed | An Open-source Azure Solution for Scalable Genomics Workflows |
title_short | An Open-source Azure Solution for Scalable Genomics Workflows |
title_sort | open source azure solution for scalable genomics workflows |
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