All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–2 of 2 filtered models
OmniNA
—25Self-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.
DNA & Gene42OpennessDNABERT-S
1304611.7KSpecies-aware DNA embedding model built on DNABERT-2, using contrastive learning to cluster and differentiate genomic sequences by species without labeled data.
DNA & Gene53Openness