Scalable and Reproducible Genomics Data Analysis on AWS
Are you interested in learning more about the capabilities of cloud computing for cancer research? Register for the upcoming Containers and Workflows Interest Group (CWIG) webinar to find out how investigators are leveraging Amazon Web Services (AWS) capabilities for genomics research. With the growing rate of raw genomics data rapidly expanding into exabytes, cancer researchers and data scientists will need tools with the computational power and resource efficiency to process and analyze these massive data sets.
In this presentation, Dr. W. Lee Pang, a principal developer with the Health AI services team at Amazon, will cover the common AWS features used for genomics research, including:
- core patterns,
- access and data resource sharing, and
- ways to promote reproducible research.
The webinar series features a variety of presenters from across NIH, industry, and academia. Though cancer research is the focus of the series, unrelated data science and cloud computing topics are still welcome. In the last year, the CWIG webinar speakers have discussed:
- NIH cloud programs like the Cancer Genomics Cloud, its fellow NCI Cloud Resources, and NIH STRIDES.
- commercial cloud platforms for biomedical data storage and computing.
- pipelines and tools for deep learning and various omics analysis.
Learn more about cloud computing for cancer research!
If this topic piques your interest, then consider one of our latest blogs about how to use cloud computing and NCI cloud platforms for your work:
Dr. Pang is a principal developer advocate with the health AI services team at AWS. There, he focuses on optimizing and elevating the user experience by performing large scale bioinformatics and genomics data analysis in the cloud.
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