Deep learning of a bacterial and archaeal universal language of life enables transfer learning and illuminates microbial dark matter

Abstract

Computational methods to analyse microbial systems rely on reference databases which do not capture their full functional diversity. Here the authors develop a deep learning model and apply it using transfer learning, creating biologically useful models for multiple different tasks.