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In this blog, you’ll discover how to harness the power of serverless computing to streamline genomics analysis workflows, enabling faster insights. By leveraging AWS Step Functions, AWS Lambda, and AWS HealthOmics, you can parallelize and modularize resource-intensive genomics pipelines. This approach enhances efficiency, scalability, and cost optimization, empowering businesses and researchers to accelerate time-to-insight. The technical implementation details, coupled with real-world use cases, will guide you through the process of architecting and deploying scalable, event-driven genomics analysis solutions on the cloud.
Clinical diagnostics and biopharma industries are witnessing a seismic shift, driven by the ever-increasing demand for efficiency and precision in genomics analysis. As next-generation sequencing technologies continue to evolve, state-of-the-art genomic sequencers generate vast troves of data in formats like FASTQ and BAM, necessitating scalable and cost-effective solutions. Enter AWS HealthOmics, a fully managed service that offers powerful pre-built genomics analyses (Ready2Run workflows, R2R) and the ability to run your own custom (“private”) workflows, transforming and simplifying genomic data analysis.