IEEE EMBS Webinar: Cloud-based Machine Learning for Genome Engineering
Genome Engineering is revolutionizing a wide range of health, environmental and agricultural applications. With the rise of a plethora of different editing strategies, being able choose the right strategy, optimize efficiently, and guarantee safety is paramount, especially in gene therapy and biosecurity applications. This talk will outline CSIRO’s software solutions, which are processing unprecedented data volumes using machine-learning and Cloud computing technology. Specifically, the GT-Scan-Suite is a webservice for identifying optimal CRISPR target-sites for a range of enzymes (Cas9, Cas12a) and editing strategies (CRISPR, HDR, Prime-editing). GT-Scan-Suite is able to predict activity differences between tissues and personalize the approach by taking mutation profiles of individuals or populations into account. We also developed GOANA a high-throughput evaluation tool for comparing the activity profile of different engineering machineries side-by-side, which is 4000% faster than the closest competitor. The talk concludes by outlining how these software products can be deployed for collaborators and clients through public digital marketplaces.
Date and Time
Location
Hosts
Registration
- Date: 18 Jun 2021
- Time: 01:00 PM to 02:00 PM
- All times are (UTC+10:00) Brisbane
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- Herston, Queensland
- Australia
- Starts 09 April 2021 08:00 AM
- Ends 18 June 2021 11:55 PM
- All times are (UTC+10:00) Brisbane
- No Admission Charge
Speakers
Dr. Denis Bauer of CSIRO
Biography:
Dr Denis Bauer is an internationally recognised expert in artificial intelligence, who is passionate about improving health by understanding the secrets in our genome using cloud-computing technology. She is CSIRO’s Principal Research Scientist in transformational bioinformatics and adjunct associate professor at Macquarie University. She keynotes international IT, LifeScience and Medical conferences and is an AWS Data Hero, determined to bridge the gap between academe and industry. To date, she has attracted more than $31M to further health research and digital applications. Her achievements include developing open-source bioinformatics software to detect new disease genes and developing computational tools to track, monitor and diagnose emerging diseases, such as COVID-19.
Twitter: https://twitter.com/allPowerde
LinkedIN: https://www.linkedin.com/in/denisbauer/