Genomics in the AWS Cloud

Regular price €46.99
A01=Catherine Vacher
A01=David Wall
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Amazon web
Amazon web services
analyzing genetic code
analyzing genetic code using Amazon
analyzing genetic code using amazon web services
Author_Catherine Vacher
Author_David Wall
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AWS' AWS Cloud
Category1=Non-Fiction
Category=PSAK
Category=UMWS
COP=United States
Delivery_Delivery within 10-20 working days
eq_computing
eq_isMigrated=2
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Genomics
genomics in the AWS Cloud
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch

Product details

  • ISBN 9781119573371
  • Weight: 567g
  • Dimensions: 185 x 231mm
  • Publication Date: 19 Jun 2023
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Delivery/Collection within 10-20 working days

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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.

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.