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Genomics in the AWS Cloud

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This guide enables individuals with moderate AWS Cloud knowledge to conduct full genome analysis and research. It equips readers to work with FASTQ files containing raw lab data or BAM files from service providers to perform genome analysis and identify potentially pathogenic gene sequences. Key features include an introduction to Whole Genome Sequencing (WGS), insights into utilizing WGS on AWS, and mastery of AWS services tailored for genomic analysis. AWS offers significant advantages for genomic research, allowing researchers to leverage a variety of compute services that can handle diverse datasets in analysis pipelines. Genomic sequencers produce raw data files in labs, and AWS provides reliable and secure solutions for transferring these files. Storing genomic and medical data at various stages requires substantial, cost-effective storage solutions. Amazon Simple Storage Service (S3), Amazon Glacier, and Amazon Elastic Block Store (EBS) offer secure, manageable, and scalable options for genomic file storage, interfacing seamlessly with AWS compute services for processing. Whether you are new to genomic data analysis or have experience with AWS Cloud, this resource provides essential information to effectively utilize AWS services and features for your genomic research.

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Genomics in the AWS Cloud, Catherine Vacher, David Wall

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2023
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