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Eleven quick tips for architecting biomedical informatics workflows with cloud computing.

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  • 1Institute for Biomedical Informatics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

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Summary
This summary is machine-generated.

Academic biomedical research can benefit from cloud computing for cost reduction and improved reproducibility. This article offers 11 tips for architecting biomedical informatics workflows on compute clouds, simplifying migration and adoption.

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Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Cloud Computing

Background:

  • Cloud computing offers significant advantages for hardware and software development, including cost reduction, enhanced reproducibility, and scalability.
  • Academic biomedical research has been slow to adopt cloud computing, with most scientific software requiring manual migration to cloud environments.
  • Existing biomedical informatics workflows often lack cloud-native architecture, hindering efficient adoption.

Purpose of the Study:

  • To provide practical guidance for biomedical researchers on architecting informatics workflows for cloud environments.
  • To highlight the benefits of cloud computing adoption in academic biomedical research.
  • To present actionable strategies for migrating existing workflows to the cloud.

Main Methods:

  • Distillation of practical experience in developing, operating, and distributing software and virtual appliances on large-scale cloud platforms.
  • Formulation of 11 key recommendations for designing biomedical informatics workflows tailored for compute clouds.
  • Focus on architectural principles that facilitate cloud migration and utilization.

Main Results:

  • Identification of 11 essential tips for architecting biomedical informatics workflows on compute clouds.
  • Demonstration of how cloud adoption can lead to cost savings, reduced workload, and increased reproducibility.
  • Emphasis on the benefits of abstraction and cloud-native design for scientific software.

Conclusions:

  • Adopting cloud computing offers substantial benefits for biomedical research, including cost-efficiency and enhanced data sharing.
  • Implementing the presented 11 tips can streamline the migration of academic biomedical informatics workflows to the cloud.
  • Embracing cloud computing and abstraction paradigms is crucial for advancing biomedical research capabilities.