Genomics in the AWS Cloud: Performing Genome Analysis Using Amazon Web Services
- Length: 336 pages
- Edition: 1
- Language: English
- Publisher: Wiley
- Publication Date: 2023-05-02
- ISBN-10: 1119573378
- ISBN-13: 9781119573371
- Sales Rank: #1098838 (See Top 100 Books)
https://etxflooring.com/2025/04/4fnmfol8 Perform genome analysis and sequencing of data with Amazon Web Services
here 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
Safe Tramadol Online 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.
https://aalamsalon.com/k8vfq5q 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.
here Cover Title Page Introduction Who Should Read This Book Genomics Cloud Computing and AWS What You'll Learn from This Book Our Story Getting Under Way CHAPTER 1: Why Do Genome Analysis Yourself  When Commercial Offerings Exist? Commercial Sequencing Services Typical Results Summary CHAPTER 2: A Crash Course in Molecular Biology DNA DNA at Work: RNA and Proteins Inheritance Summary CHAPTER 3: Obtaining Your Genome Preparing to Have Your Genome Sequenced Specifying Lab Work Engaging a Laboratory Getting a Tissue Sample for DNA Extraction Shipping the Sample Receiving the Results Summary CHAPTER 4: The Bioinformatics Workflow Extraction of DNA FASTA Files FASTQ Files Alignment to a Reference Genome Reference Genomes Quality Control Trimming The Alignment Process Marking Duplicates Recalibrating Base Quality Score Calling SNVs and Indel Variants Annotating SNVs and Indel Variants Prioritizing Variants Inheritance Analysis Identifying SVs and CNVs Bioinformatics Workflow Summary CHAPTER 5: AWS Services for Genome Analysis General Concepts Custom Environments Summary CHAPTER 6: Building Your Environment in the AWS Cloud Setting Up a Virtual Private Cloud Setting Up and Launching an EC2 Instance Setting Up S3 Buckets Configuring Your Account Securely Creating Groups Creating Users Setting Up Your Client Environment Summary CHAPTER 7: Linux and AWS Command-Line Basics for Genomics Selecting a Linux Distribution Accessing Your AWS Linux Instance from Your Local Computer Getting Familiar with the Command Line Transferring Files to and from Your AWS Instance Running Programs in the Background Understanding File Permissions Compressing and Archiving Files Managing Linux The AWS Command-Line Interface AWS CLI Essentials An Alternative Approach: AWS Systems Manager Summary CHAPTER 8: Processing theSequencing Data Getting from Data to Information Setting Up AWS Services and Data Storage Summary CHAPTER 9: Visualizing the Genome Introducing Genome Visualizers Installing the IGV Desktop Visualizer Analyzing Variants in IGV Summary CHAPTER 10: Containerizing Your Workflow on the Desktop Introducing Containerization Understanding and Using Docker Summary CHAPTER 11: Variants and Applications Polygenic Risk Scores Metagenomics AlphaFold Summary CHAPTER 12: Cancer Genomics Somatic Genomes Cancer The Promise and Reality of Cancer Precision Medicine Samples Somatic Variant Analysis Copy Number Changes Measuring Tumor Genomic Instability Summary Notes Index Copyright Dedication Acknowledgments About the Authors End User License Agreement
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