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

Book Description

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 mod法属瓜德罗普岛酒店els
• 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

中文：

书名：Azure云中的基因组学: 使用企业级解决方案扩展您的生物信息学工作负载

本实用指南弥合了Microsoft Azure中的通用云计算体系结构与生物信息学和基因组学的科学计算之间的鸿沟。您将深入了解Azure中提供的架构模式和服务，以及它们如何在您的生物信息学实践中使用。您将获得代码示例，这些示例可以针对您的特定需求进行重用。您将获得大量具体示例来说明在生物信息学环境中如何使用给定的服务。

您还将获得有关如何以下操作的宝贵建议:

• 使用企业平台服务轻松扩展您的生物信息学工作负载
• 大规模整理、查询、分析基因组数据
• 构建基因组数据湖及配套数据仓库
• 使用Azure机器学习扩展模型训练、跟踪模型性能和部署获胜模型
• 使用Azure数据工厂和Databricks编排和自动化处理管道
• 通过迪奥将工作流移动到Azure高性能计算服务，云化组织现有的生物信息学管道
• 和更多