AWS for Industries
Accelerate development of bioinformatics workflows on AWS HealthOmics using call caching
Bioinformatics workflows are computationally expensive, often running for hours to days. When these workflows fail mid-execution or require iterative refinement, rerunning from scratch wastes significant time and compute resources. AWS HealthOmics call caching solves this challenge by intelligently saving and reusing completed task outputs, enabling workflows to resume from failure points rather than restarting entirely. […]
Designing an event-driven architecture for Bioinformatics workflows using AWS HealthOmics and Amazon EventBridge
Healthcare and Life Science organizations have a mission to improve human health and make groundbreaking scientific discoveries. More often than not, they leverage genomic, transcriptomic or other omics data to achieve this goal. They use a collection of bioinformatics tools and methods to process this data and derive scientific insights. Bioinformatics workflows enable orchestration of […]
Part 2: Automated End-to-End Genomics Data Storage and Analysis using Amazon Omics
We would like to acknowledge the valuable contributions of David Obenshain, Gargi Singh Chhatwal, and Joshua Broyde, who are Solutions Architects at AWS. With the rapid advancement and use of Genomic sequencing within research and clinical organizations, we need reliable, reproducible, scalable, and cost-efficient infrastructure to manage data and compute resources. Organizations want to spend […]

