Genomics in the AWS Cloud: analyzing genetic code using Amazon Web Services
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'...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken
John Wiley & Sons
[2023]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119573371/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 15, 2023) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781119573401 1119573408 9781119573418 1119573416 9781119573449 1119573440 9781119573371 |
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| spelling | Vacher, Catherine VerfasserIn aut Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services Catherine Vacher, David Wall Hoboken John Wiley & Sons [2023] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 15, 2023) 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. Amazon Web Services (Firm) Genomics Data processing Cloud computing Génomique ; Informatique Infonuagique Genomics ; Data processing Wall, David 1974- VerfasserIn aut 9781119573371 Erscheint auch als Druck-Ausgabe 9781119573371 |
| spellingShingle | Vacher, Catherine Wall, David 1974- Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services Amazon Web Services (Firm) Genomics Data processing Cloud computing Génomique ; Informatique Infonuagique Genomics ; Data processing |
| title | Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services |
| title_auth | Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services |
| title_exact_search | Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services |
| title_full | Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services Catherine Vacher, David Wall |
| title_fullStr | Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services Catherine Vacher, David Wall |
| title_full_unstemmed | Genomics in the AWS Cloud analyzing genetic code using Amazon Web Services Catherine Vacher, David Wall |
| title_short | Genomics in the AWS Cloud |
| title_sort | genomics in the aws cloud analyzing genetic code using amazon web services |
| title_sub | analyzing genetic code using Amazon Web Services |
| topic | Amazon Web Services (Firm) Genomics Data processing Cloud computing Génomique ; Informatique Infonuagique Genomics ; Data processing |
| topic_facet | Amazon Web Services (Firm) Genomics Data processing Cloud computing Génomique ; Informatique Infonuagique Genomics ; Data processing |
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