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...

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Bibliographic Details
Main Authors: Yang-Turner, F, Gripper, L, Swann, J, Do, T, Foster, D, Volk, D, Ramanan, A, Robinson, M, Peto, T, Crook, D
Format: Conference item
Language:English
Published: IEEE 2018
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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.
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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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