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GENERator is a collection of generative genomic foundation models using a transformer decoder architecture, trained on DNA datasets from the RefSeq database. It achieves state-of-the-art performance on genomic benchmarks and can generate protein-coding DNA sequences that produce proteins structurally similar to known families.
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