AWS re:Invent 2023 - Building a precision medicine platform using AWS HealthOmics (HLC305)

Precision medicine requires the ability to gain insights from different modalities of health data, which is often trapped in silos. The Stanford Data Ocean (SDO) aims to address this issue by being the first serverless precision medicine platform for researchers and students, and it’s built completely on AWS. Housing multi-omics datasets and one of the largest repositories of wearables data, it provides workspaces to easily run prepackaged workflows for DNA, RNA, and scRNA-seq. In this session, learn how to easily and securely process ever-growing quantities of omics data, using the scale of the cloud by integrating the capabilities of AWS HealthOmics.
Learn more about AWS re:Invent at go.aws/46iuzGv.
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[@flloyd]

Some disconnect between what we docs do. I spent too much time learning IAM then uploading refseq. AWS has all the info -SRA- but access and speed a problem

[@awssupport]

Hi Flloyd. 👋 Thanks for your insight. We're always aiming to improve, so please share all your thoughts/ideas on what we can do better: go.aws/feedback. 📣 ^RW