AWS for Industries

Whitepaper: Genomics Data Transfer, Analytics, and Machine Learning using AWS Services

AWS Genomics has released a new whitepaper, Genomics Data Transfer, Analytics, and Machine Learning using AWS Services, that provides essential information and guidance on how to build a Next Generation Sequencing (NGS) platform using AWS services, from instrument to interpretation. Accompanying the new whitepaper are three solutions, developed based on feedback from AWS life science customers currently running genomics workloads on AWS:

In the whitepaper, we provide recommendations and reference architectures for developing a genomics platform on AWS, including:

  • Transferring genomics data to the AWS Cloud and establishing data access patterns
  • Running secondary analysis workflows
  • Performing tertiary analysis with data lakes
  • Performing tertiary analysis using machine learning

We also address common concerns expressed by life science business leaders: How does an organization manage cost, optimize workload performance, and move fast with control? How does an organization secure sensitive information? What resources are available to help meet a team’s compliance needs?


Access Whitepaper Here


To learn more, visit Genomics in the Cloud on AWS, or explore our Genomics Executive Brief.

Kelli Jonakin, Ph.D.

Kelli Jonakin, Ph.D.

Kelli Jonakin is the Worldwide Head of Marketing for Healthcare, Life Sciences, and Genomics Industry verticals at AWS. She comes with a background in pharmaceutical research, with a special focus on development and commercialization of biologics. Kelli received her Ph.D. in Pharmacology and Systems Biology from the University of Colorado, and received an NIH post-doctoral fellowship grant to study Biochemistry at the University of Wisconsin-Madison.