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AWS Cloud provides the right platform to scale Health Informatics and Genomic Research with security, data privacy, and cost-effectiveness. Relevance Lab offers a scalable architecture blueprint with RLCatalyst Research Gateway and pre-built support for common researcher tools like BioInformatics starter kit, Nextflow, R-Studio, Open Data sets to speed up Scientific Research on Cloud.

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Today, the growing need for remote working, cloud-based assets, and touchless interactions have amplified the importance of automated user onboarding and offboarding. By leveraging existing investments in common ITSM tools, AWS Control Services, and with a pre-existing library of commonly used Relevance Lab’s BOTs, customers can quickly achieve end-to-end automation.

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RLCatalyst Research Gateway provides scientists and research professionals simplification of cloud adoption while speeding up their research with proper cost & budget controls and secure governance for research programs. Built on AWS & leveraging the best practices, the portal makes research simpler, faster, and better.
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Solving real-world scientific research problems requires deep domain understanding, access to public data sets, and complex computation analysis with advanced visualizations. Leveraging the Cloud computing and RLCatalyst Research Gateway, we explain simplifying the process with a common use case for Earth Sciences Atmosphere modelling and analysis.

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