Genomics in the Azure Cloud: Scaling Your Bioinformatics Workloads Using Enterprise-Grade Solutions
Genomics in the Azure Cloud: Scaling Your Bioinformatics Workloads Using Enterprise-Grade Solutions
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- More about Genomics in the Azure Cloud: Scaling Your Bioinformatics Workloads Using Enterprise-Grade Solutions
This guide provides a practical approach to leveraging Microsoft Azure for bioinformatics and genomics, covering architecture patterns, services, code examples, and best practices for scaling workloads, managing data, and deploying models.
Format: Paperback / softback
Length: 200 pages
Publication date: 30 November 2022
Publisher: O'Reilly Media
This comprehensive guide seamlessly connects the realm of general cloud computing architecture in Microsoft Azure with the specialized field of scientific computing for bioinformatics and genomics. By delving into the architecture patterns and services offered in Azure, you will gain a solid foundation in understanding how these resources can be effectively leveraged in your bioinformatics endeavors.
Throughout the guide, you will encounter code examples that can be readily repurposed to suit your specific requirements, enhancing the practicality and adaptability of the information presented. Additionally, numerous concrete examples will illustrate the practical application of various Azure services within the context of bioinformatics, providing you with a clear understanding of their usage.
Furthermore, you will receive valuable guidance on key topics such as:
• Leveraging enterprise platform services to effortlessly scale your bioinformatics workloads.
• Effectively organizing, querying, and analyzing genomic data on a massive scale.
• Building a robust genomics data lake and accompanying data warehouse to support your analytical needs.
• Expanding the capabilities of your model training, monitoring model performance, and deploying successful models through the power of Azure Machine Learning.
• Orchestrating and automating complex processing pipelines using Azure Data Factory and Databricks.
• Cloudifying your organization's existing bioinformatics pipelines by migrating them to Azure's high-performance compute services.
By embracing this guide, you will be well-equipped to navigate the complexities of cloud computing and unlock the full potential of Azure for your bioinformatics and genomics projects. Whether you are a researcher, data scientist, or industry professional, this resource will serve as a valuable companion on your journey towards innovation and success in the field.
Dimension: 232 x 178 (mm)
ISBN-13: 9781098139049
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