Software

A long-context language model for deciphering and generating bacteriophage genomes. Trained on phage genomes for zero-shot prediction and de novo genome design.

A deep learning framework for predicting context-dependent translation dynamics from ribosome profiling data.

A generative language model for plasmid sequences. Supports de novo plasmid design, embeddings, and sequence annotation.

A generative deep learning approach for global species distribution prediction, learning species interactions.

Predicting microbial transcriptome directly from genome sequence using protein language model embeddings.