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Although genomics workflow languages are designed to improve the portability and reproducibility of analyses, the migration of workflows from one runtime environment to another can be challenging if the workflow makes strong assumptions about that environment. Here we present two customer-tested tools that help detect workflow issues and accelerate the migration of resources to smooth the migration of a workflow to AWS HealthOmics.
AWS HealthOmics helps healthcare and life science organizations build at-scale to store, query, and analyze genomic, transcriptomic, and other omics data. These properties make HealthOmics an attractive option for running workflows at-scale. Often these workflows have been developed in small test-environments, have been obtained from open source code repositories, or are currently being run in an on-premise environment.