Applying Deep Learning in Genomics
About this event
The ability to sequence and understand the genome is essential to diagnose critical genetic diseases, which affect roughly 6% of individuals, as well as understand the broad contributions of genetics to health outcomes.
In this session, we will unpack the tech stack behind the breakthroughs of AI in the genomics space, with:
- DeepConsensus, a Google-developed method which helps instruments to accurately read the genome by removing sequencing errors. We’ll explore how this accurate sequencing helps genome assembly, including the first complete assembly of the human reference genome.
- DeepVariant, a Google-developed method which identifies genetic variants in individuals, with an example of identifying a disease-causing variant in less than 8 hours to result in life-saving treatment in the Neonatal Intensive Care Unit.
- How Google is using AI to help build Pangenome References, which are a new way to build reference genomes of individuals from many ancestries to improve the accuracy of genomic analyses for everyone in the world.
- How Google is applying these tools beyond human analysis to create reference genomes for important and endangered species throughout the world.
Great for research and PhD students, bioinformaticians, computer scientists, plus industry and academic professionals looking to stay at the cutting edge of genomics.
This is a rare opportunity to engage in conversation directly with the architects of Google’s Genomic AI tools. As our speaker is donating their time to be with us, we want to ensure a full and engaged event. Please reserve your spot only if you are committed to joining us for this special deep-dive.
