Skip to content
Account Login Winnipeg Toll-Free: 1-800-561-1833 SK Toll-Free: 1-877-506-7456 Contact & Locations

parsed(2023-05-02) - pubdate: 2023-05-02
turn:
pub date: 1683003600
today: 1711688400, pubdate > today = false

nyp: 0;

Genomics in the AWS Cloud

Analyzing Genetic Code Using Amazon Web Services

May 2, 2023 | Trade paperback
ISBN: 9781119573371
$60.00
Reader Reward Price: $54.00 info
Out of stock. Available to order from publisher. We will confirm shipping time when order has been placed.
Checking Availibility...

Description

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.

About this Author

Catherine Vacher, PhD, is a professional genomics researcher with a focus on supercomputer genome analysis. She has done extensive research into the genetic aspects of various cancers.

David Wall is a consulting engineer. He designs, builds, and supports hardware, software, and business processes. He is an AWS Certified Solution Architect.

ISBN: 9781119573371
Format: Trade paperback
Pages: 336
Publisher: Wiley, Wiley
Published: 2023-05-02

If the product is in stock at the store nearest you, we suggest you call ahead to have it set aside for you, or you may place an order online and choose in-store pickup.