An Open-source Azure Solution for Scalable Genomics Workflows

被引:1
|
作者
Yang-Turner, Fan [1 ]
Gripper, Lawrence [2 ]
Swann, Jeremy [1 ]
Do, Trien [1 ]
Foster, Dona [1 ]
Volk, Denis [1 ]
Ramanan, Anita [2 ]
Robinson, Marcus [2 ]
Peto, Tim [1 ]
Crook, Derrick [1 ]
机构
[1] Univ Oxford, Nuffield Dept Clin Med, Oxford, England
[2] Microsoft CSE, London, England
关键词
scientific workflow; container; cluster system; genomic data analytics; bioinformatic pipeline; cloud computing;
D O I
10.1109/SERVICES.2018.00033
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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
引用
收藏
页码:39 / 40
页数:2
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