Category: AWS HealthOmics

This post presents a reference architecture that turns public sequencing data into plain-language answers about antimicrobial resistance (AMR) genes. It pairs AWS HealthOmics for managed genomics processing with a grounded Amazon Bedrock AgentCore agent, so researchers can ask questions without writing bioinformatics code or SQL.

Genomics workflows process petabyte-scale datasets on large pools of compute resources. In this blog post, we discuss how life science organizations can use Amazon Web Services (AWS) to run transcriptomic sequencing data analysis using public datasets. This allows users to quickly test research hypotheses against larger datasets in support of clinical diagnostics. We use AWS […]