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
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.