Trained on 9 trillion DNA base pairs from every domain of life, the Evo 2 model can predict disease-causing mutations, identify genomic features and generate entirely new genetic sequences.

DNA strands of well-defined sequence are valuable in synthetic biology and nanostructure assembly. Drawing inspiration from solid-phase synthesis, here we describe a DNA assembly method that uses time ...

Scientists at the University of Illinois at Urbana-Champaign have developed deep generative models to predict undiscovered sequences of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ...

For many laboratories in the developing world, lack of funding and practical experience are hurdles to generating their own DNA sequence data. However, the financial, technical, and logistical burden ...