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Genomics in the AWS Cloud

Analyzing Genetic Code Using Amazon Web Services
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Genomics in the AWS Cloud by Catherine Vacher and David Wall explores how the Amazon Web Services cloud platform can be effectively utilised for genomics research and analysis. The book covers the integration of powerful cloud technologies with genomics to optimise data processing, storage, and sharing. It serves as an essential guide for scientists and researchers looking to leverage scalable cloud resources in their genomic studies.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you are keen on integrating genomic data analysis with cloud computing. It's perfect for those interested in leveraging AWS for managing and processing large-scale genomic datasets, making complex bioinformatics accessible and efficient.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! 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 utilise 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 Elastic 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 analysing 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.

Book Details

INFORMATION

ISBN: 9781119573371

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 19 June 2023

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Spine width: 18.0mm

Width: 185.0mm

Height: 231.0mm

Weight: 567g

Pages: 336

About the 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.

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