Arc Institute

Programming where and when genes are expressed is a key goal in biology and therapeutic engineering. In a new preprint, @BrianHie, Alex Hao & team report Evo 2 can design enhancers to label single neuronal subtypes in live mouse brains when prompted with <100 example sequences.

Much of the functional biology encoded in genomes remains hidden in noncoding DNA.

In a preprint out today, @pdhsu and team introduce COMPASS, a genomic language model-based approach to systematically map this underexplored sequence space.

Our cells carry the same DNA, but how this DNA is interpreted differs wildly from cell to cell. In a new preprint, Science Fellow @zhou_jingtian and team introduce Bolero, a model conditioned on cell state that predicts chromatin accessibility and expression from DNA alone.

More than 5,000 people have registered for the Virtual Cell Challenge, and with over 1,500 teams on the leaderboard, we wanted to know who they are and why they’re competing:
arcinstitute.org/news/vcc-compe…

RNA-binding proteins (RBPs) recognize RNA by sequence and shape, but which matters varies by site. Introducing Pythia, an interpretable AI model trained on a new high-resolution atlas of 67 RBPs—a collaboration between the @genophoria lab, @czbiohub, @UCSF, @Calico, and @vectorinst.