Beijing Institute of Genomics

Self-supervised generative foundation model jointly trained on 91.7M nucleotide sequences and structured annotations spanning 1.076 trillion bases, achieving SOTA on 23 nucleotide-language benchmarks.

A structure-aware generative DNA language model pretrained on influenza genomes that forecasts future antigenic variants across regions and subtypes.