Reducing costs by 50% while processing population-scale genomics with Mountpoint for Amazon S3 and AWS Batch | Amazon Web Services

Reducing costs by 50% while processing population-scale genomics with Mountpoint for Amazon S3 and AWS Batch | Amazon Web Services

This post was contributed by Kambiz Shahim, Ankit Kalyani, and Chris Wright.

Oxford Nanopore Technologies used Mountpoint for Amazon S3, AWS Batch, and Nextflow to build EPI2ME Cloud, a managed compute environment for processing human genomes at population-scale reliably and securely while reducing computational costs by 50%. EPI2ME Cloud forms Oxford Nanopore’s suite of local and cloud-based analysis platforms, bioinformatics tools, workflows, and resources designed to simplify genomic data processing and interpretation.

In recent years, the promise of precision medicine became a tangible reality. Genomic data, once the domain of small research labs, is now at the heart of national healthcare strategies. Singapore’s National Precision Medicine (NPM) program is an example of this transformation – a comprehensive, long-term initiative to integrate genomic insights into everyday clinical practice.

Oxford Nanopore offers innovative DNA and RNA…

https://aws.amazon.com/blogs/hpc/reducing-costs-by-50-while-processing-population-scale-genomics-with-mountpoint-for-amazon-s3-and-aws-batch/