UC Berkeley scientists have made a breakthrough in more efficiently linking genetic variants to unique individual traits such as inheritable disease. The human genome has been mapped in its entirety, but unraveling the DNA to determine its association with human traits is another realm in which UC Berkeley researchers have now broken ground. An AI model called GPN-Star is a new advancement in genomic language models, which researchers train with DNA sequences the same way they would train large language models to understand human languages. It’s allegedly outcompeting other large models such as Evo 2 and Nucleotide Transformer, which, unlike GPN-Star, aim to solve a wider range of tasks in the field. Read more through the link in bio. ✍️: Megan Lam 📸: Geralt under CC0 1.0 . . . #ucberkeley #dailycal #berkeley #DNA #disease