When researchers analyze large-scale biological data to derive scientific insights, they must experiment with multiple tools that have different resource and software requirements. Interactive Analysis solutions on AWS support this experimental phase, so researchers can decide the right set of tools to solve a specific problem. These solutions enable researchers to iterate faster and derive insights quickly so that they can achieve their scientific and business goals.

Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Galaxy Deployment on AWS

    This Guidance shows how you can run Galaxy software on AWS, allowing you to benefit from the ease-of-use of the Galaxy platform while using purpose-built services from AWS for the needed undifferentiated heavy-lifting, without compromising your security or data integrity.
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