Presentation description

The language-like structure of DNA suggests it may be possible to use LLMs to extract meaningful insights from genomic data. Currently there is no standard tokenization method or set of fine tuning tasks for genomic language models. Our strategy has been to fine tune multiple foundational models on all of their existing tasks. Additionally, we performed a preliminary investigation on whether an LLM can accurately identify the locations of prophage sequences integrated in the bacterial genome.