blog_posts: 6c75305cf6
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#18-16681 | 2022-07-27 14:48:16 | Building a resilient and scalable clinical genomics analysis pipeline with AWS | https://aws.amazon.com/blogs/publicsector/building-resilient-scalable-clinical-genomics-pipeline-aws/ | At the Baylor College of Medicine Human Genome Sequencing Center (BCM HGSC), we aim to advance precision medicine and research in genomics. In that effort, we joined the ambitious All of Us Research Program funded by the National Institutes of Health (NIH) to help deliver genomic data to over one million individuals across the United States. In early 2019, we estimated that processing whole genome samples for this megaproject would imply a scale-up of over four times the production workload of our center. We used AWS to support our new pipeline demands, which saved time, reduced costs, and created new opportunities for future development. | https://d2908q01vomqb2.cloudfront.net/9e6a55b6b4563e652a23be9d623ca5055c356940/2022/07/27/genomics-data-pipeline-analysis-aws-cloud-1200x600-1.jpg | 6c75305cf6 | Noora Siddiqui, Ashoo Shetty | 2022-07-27 14:48:16 | 27 Jul 2022 |
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