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260539453
Genomics in the AWS Cloud: Analyzing Genetic Code Using Amazon Web Services (Paperback)
Item #:
260539453
AUD 90
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Perform full genome analysis and research with Genomics in the AWS Cloud: Analyzing Genetic Code Using Web Services.
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What Stands Out
Cloud Integration
Leverages AWS infrastructure to streamline genomic data analysis, offering scalability and flexibility that traditional methods lack.
Cutting-edge Techniques
Covers advanced genomic analysis techniques, providing readers with the latest tools and methodologies for interpreting genetic information effectively.
User-friendly Approach
Designed for both novices and experts, this guide simplifies complex concepts, making genomic analysis accessible to a wider audience.
Product Details
- 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.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Nonfiction |
| Publication date | May, 2023 |
| Pages | 336 |
| Reading level | Professional & Vocational |
| Edition | 1st Edition |
| Publisher | Wiley |
| Original languages | English |
| Language | English |
| Edu focus | Biology |
| Binding type | Perfect Binding |
| Assembled product dimensions (l x w x h) | 7.24 x 0.71 x 9.13 Inches (18.4 x 1.8 x 23.2 cm) |
| Assembled product weight | 1.3 lb (590 grams) |
| Bisac subject heading | Science |
Who Should Buy?
-
Bioinformatics Researchers
Ideal for researchers looking to leverage AWS for genomic data analysis and computational biology projects.
-
Data Scientists
Useful for data scientists requiring a comprehensive guide to analyzing genetic data using cloud technologies.
-
Students in Genomics
Beneficial for students studying genomics, providing foundational knowledge and practical applications of AWS in their field.
-
Non-Technical Users
Not suitable for non-technical individuals who lack familiarity with cloud computing or genomic concepts.
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Catherine Vacher; David Wall All Books Editorial Review
Genomics in the AWS Cloud: Analyzing Genetic Code Using Amazon Web Services (Paperback) offers a comprehensive guide, perfect for professionals delving into the intersection of genomics and cloud computing. With a publication date of May 2023, this 336-page non-fiction book is designed for those in the biology field, making complex topics accessible through clear explanations and practical applications. Readers highlight its informative content and organized structure as key strengths, emphasizing its relevance for vocational training. A notable feature is its focus on utilizing Amazon Web Services for genetic analysis, which is increasingly vital in today's research landscape.
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Pros
- Well-structured for professional and vocational readers
- Focus on AWS makes it relevant for modern analysis
- Clear explanations enhance understanding of genomics
- 336 pages packed with valuable information
- First edition published in May 2023
Cons
- Physical book may not suit all digital readers
Product Price History
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AUD 90
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Features & Benefits
- Learn to perform genome analysis with moderate AWS familiarity.
- Analyze FASTQ and BAM files for genomic data.
- Identify pathogenic gene sequences effectively.
- Get introduced to Whole Genome Sequencing (WGS) on AWS.
- Utilize AWS services for diverse genomic analysis workflows.
- Securely store and scale genomic data with AWS storage solutions.
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