Genomics in the Azure Cloud: Scaling Your Bioinformatics Workloads Using Enterprise-Grade Solutions

This practical guide bridges the gap between general cloud  computing architecture in Microsoft Azure and scientific computing for  bioinformatics and genomics. You'll get a solid understanding of the  architecture patterns and services that are offered in Azure and how  they might be used in your bioinformatics practice. You'll get code  examples that you can reuse for your specific needs. And you'll get  plenty of concrete examples to illustrate how a given service is used in  a bioinformatics context. 

 You'll also get valuable advice on how to: 

• Use enterprise platform services to easily scale your bioinformatics workloads 
• Organize, query, and analyze genomic data at scale 
• Build a genomics data lake and accompanying data warehouse 
• Use Azure Machine Learning to scale your model training, track model performance, and deploy winning models 
• Orchestrate and automate processing pipelines using Azure Data Factory and Databricks 
• Cloudify  your organization's existing bioinformatics pipelines by moving your  workflows to Azure high-performance compute services 
• And more