{"title":"Catherine Vacher","description":"\u003cp\u003eExplore the innovative world of scientific literature with Catherine Vacher, a remarkable author renowned for her contributions to the field of genomics and cloud computing. Known for her ability to simplify complex scientific concepts, Vacher has made significant strides in making science accessible and engaging.\u003c\/p\u003e\n\n\u003cp\u003eOne of her notable works, \u003cem\u003eGenomics in the AWS Cloud\u003c\/em\u003e, exemplifies her talent for unraveling intricate genomics data management and analysis by leveraging the power of Amazon Web Services. This book is an essential resource for scientists and researchers eager to utilise cloud technology to expand their genomic research capabilities.\u003c\/p\u003e\n\n\u003cp\u003eCatherine Vacher's collection of books resides in the \u003cstrong\u003eScience \u0026amp; Nature\u003c\/strong\u003e category, offering readers insightful and practical knowledge that's at the cutting edge of scientific innovation. Dive into her works to discover how cloud computing is revolutionising the field of genomics, paving the way for groundbreaking discoveries.\u003c\/p\u003e","products":[{"product_id":"genomics-in-the-aws-cloud-by-catherine-vacher-9781119573371","title":"Genomics in the AWS Cloud","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003ePerform genome analysis and sequencing of data with Amazon Web Services\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eGenomics in the AWS Cloud: Analyzing Genetic Code Using Amazon Web Services\u003c\/em\u003e 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.\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eGet an introduction to Whole Genome Sequencing (WGS)\u003c\/li\u003e\n  \u003cli\u003eMake sense of WGS on AWS\u003c\/li\u003e\n  \u003cli\u003eMaster AWS services for genome analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eSome 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.\u003c\/p\u003e\n\n\u003cp\u003eWhether 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.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46854552158444,"sku":"9781119573371","price":94.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/79c0f96df1a6140e67058f0be2ea89c5.jpg?v=1759268602"}],"url":"https:\/\/bookhero.co.nz\/collections\/catherine-vacher.oembed","provider":"Book Hero","version":"1.0","type":"link"}