New from @arcinstitute: using the latent space representation of genomes from single-cell life to find new candidate functional RNAs. I think this is cool because: (1) it uses deep learning and model interpretability to productive ends on a totally different kind of "knowledge"; (2) it shows how agents may be able to accelerate discovery in vast combinatoric spaces; and (3) it's an example of the synergy we'll hopefully see in the coming years between computational techniques and wet lab…