Build machine learning models on genomic datasets using AWS - Genomics Tertiary Analysis and Machine Learning Using Amazon SageMaker

Build machine learning models on genomic datasets using AWS

Publication date: August 2020

This implementation guide discusses architectural considerations and configuration steps for deploying the Genomics Tertiary Analysis and Machine Learning Using Amazon SageMaker solution in the Amazon Web Services (AWS) Cloud. It includes a link to an AWS CloudFormation template that launches and configures the AWS services required to deploy this solution using AWS best practices for security and availability.

The guide is intended for IT infrastructure architects, administrators, bioinformatics scientists, data engineers, and DevOps professionals who have practical experience architecting in the AWS Cloud.