As we continue to better understand genomics and its ability to advance precision medicine and drive more personalized care, the adoption of next-generation sequencing (NGS) is rapidly accelerating amongst healthcare, life sciences, and government organizations around the globe.
While sequencing costs continue to decrease, resource and cost constraints associated with compute and storage have grown, along with increased throughput and more data-heavy applications such as precision oncology and immuno-therapeutics.
This ebook from AWS describes considerations for migrating genomic data storage and analysis to the cloud to reduce cost, enhance security, and access more analysis tools, referencing case studies from life science organizations and academic publications.
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