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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–5 of 5 filtered models
Generative transformer for phylogenetic inference that transduces sets of unaligned molecular sequences directly into Newick-format trees.
Hyperbolic protein language model for alignment-free phylogenetic inference, turning ESM2-650M embeddings into distance matrices for tree placement.
Protein evolution model that learns indel dynamics and epistasis from unaligned sequences, simulating trajectories that yield functional proteins.
Phylogenetic tree inference from unaligned nucleotide sequences, using a 2D genomic-footprint encoding and CNN classification of triplet topologies.
Protein language model that jointly embeds a set of sequences and reconstructs phylogenetic trees without alignments or guide trees.