Workshop: Cloud scale genomics analysis with Amazon Omics and the Registry of Open data on AWS
- Regular Member - $20
- Early Career Member - $10
- Resident/Clinical Fellow Member - $10
- Postdoctoral Fellow Member - $10
- Graduate Student Member - $10
- Undergraduate Student Member - $10
- Emeritus Member - $10
- Life Member - $20
- Trainee Member - $10
- Nonmember - $50
The cloud provides a scalable platform to store, analyze, and query genomic data. Amazon Omics is an managed service on AWS that helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. The Registry of Open Data on AWS makes it easy to find data sets made publicly available through AWS services and contains over 90 life sciences datasets like the NCBI Sequence Read Archive, The Cancer Genome Atlas, and Genome in a Bottle. In this workshop, you will gain detailed view of how Amazon Omics enables an end-to-end genomic data journey - from ingesting raw sequence data, to running community best practice workflows, to querying variants at scale using publicly available data from the Registry of Open Data on AWS.
W. Lee Pang, PhD
Principal Solutions Architect
Amazon Web Services
Lee is a Principal Solutions Architect with the Health AI services team at AWS focused elevating the user experience performing large scale bioinformatics and genomics data analysis in the cloud. He has a PhD in Bioengineering and over a decade of hands-on experience as a scientist and software engineer in bioinformatics and computational systems biology, developing tools for high throughput *omics data processing and analysis.