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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
This is a digital product.
Genomics in the Azure Cloud: Scaling Your Bioinformatics Workloads Using Enterprise-Grade Solutions 1st Edition is written by Colby T. Ford and published by O’Reilly Media. The Digital and eTextbook ISBNs for Genomics in the Azure Cloud are 9781098139001, 1098139003 and the print ISBNs are 9781098139049, 1098139046. Additional ISBNs for this eTextbook include 9781098139018.
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