Genomics in the AWS Cloud
eBook - ePub

Genomics in the AWS Cloud

Analyzing Genetic Code Using Amazon Web Services

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Genomics in the AWS Cloud

Analyzing Genetic Code Using Amazon Web Services

About this book

Perform genome analysis and sequencing of data with Amazon Web Services

Genomics in the AWS Cloud: Analyzing Genetic Code Using Amazon Web Services enables a person who has moderate familiarity with AWS Cloud to perform full genome analysis and research. Using the information in this book, you'll be able to take a FASTQ file containing raw data from a lab or a BAM file from a service provider and perform genome analysis on it. You'll also be able to identify potentially pathogenic gene sequences.

  • Get an introduction to Whole Genome Sequencing (WGS)
  • Make sense of WGS on AWS
  • Master AWS services for genome analysis

Some key advantages of using AWS for genomic analysis is to help researchers utilize a wide choice of compute services that can process diverse datasets in analysis pipelines. Genomic sequencers that generate raw data files are located in labs on premises and AWS provides solutions to make it easy for customers to transfer these files to AWS reliably and securely. Storing Genomics and Medical (e.g., imaging) data at different stages requires enormous storage in a cost-effective manner. Amazon Simple Storage Service (Amazon S3), Amazon Glacier, and Amazon Elastics Block Store (Amazon EBS) provide the necessary solutions to securely store, manage, and scale genomic file storage. Moreover, the storage services can interface with various compute services from AWS to process these files.

Whether you're just getting started or have already been analyzing genomics data using the AWS Cloud, this book provides you with the information you need in order to use AWS services and features in the ways that will make the most sense for your genomic research.

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Yes, you can access Genomics in the AWS Cloud by David Wall,Catherine Vacher in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Genetics & Genomics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Introduction
  5. CHAPTER 1: Why Do Genome Analysis Yourself  When Commercial Offerings Exist?
  6. CHAPTER 2: A Crash Course in Molecular Biology
  7. CHAPTER 3: Obtaining Your Genome
  8. CHAPTER 4: The Bioinformatics Workflow
  9. CHAPTER 5: AWS Services for Genome Analysis
  10. CHAPTER 6: Building Your Environment in the AWS Cloud
  11. CHAPTER 7: Linux and AWS Command-Line Basics for Genomics
  12. CHAPTER 8: Processing theSequencing Data
  13. CHAPTER 9: Visualizing the Genome
  14. CHAPTER 10: Containerizing Your Workflow on the Desktop
  15. CHAPTER 11: Variants and Applications
  16. CHAPTER 12: Cancer Genomics
  17. Index
  18. Copyright
  19. Dedication
  20. Acknowledgments
  21. About the Authors
  22. End User License Agreement