I'd like to expand that: in my view, this is also a story of how agentic AI systems can come up with bioinformatics strategies to discover novel features. One would think such a task would be the ideal domain of the genome language models, which have learned the structure and functional relationships of DNA/RNA sequences. The agents instead relied on classical bioinformatics methods such as HMMs to make their discovery.
Note: I could not find the Supplementary Note 1 that was supposed to describe how exactly agents came to their solution, but I assume it was autonomous.