An open-source azure solution for scalable genomics workflows
Yang-Turner F., Gripper L., Swann J., Do T., Foster D., Volk D., Ramanan A., Robinson M., Peto T., Crook D.
© 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.