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© 2018 IEEE. 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.

Original publication

DOI

10.1109/SERVICES.2018.00033

Type

Conference paper

Publication Date

17/10/2018

Pages

41 - 42