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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 400 filtered models
Unsupervised gene finder that annotates any eukaryotic genome from a raw FASTA file, using a differentiable hidden Markov layer inside the network.
Codon language model for mRNA prediction and coding sequence design, steering synonymous codon choice with a swappable host usage prior at inference.
Genomic foundation model that pairs 650 kb of gene-centered DNA with transcription factor activity to predict expression in unseen cell types.
Variant effect and disease phosphosite prediction that fuses frozen ESM-2 embeddings with normal-mode protein dynamics over AlphaFold residue graphs.
Gene regulatory network inference from scRNA-seq that returns directed TF-to-target edges in one forward pass, with no per-dataset refitting.
Self-supervised transformer fusing Enformer DNA embeddings with ATAC-seq accessibility into reusable 256-dimensional genomic window embeddings.
Pan-cancer clinico-genomic model for treatment response and survival prediction, transferring zero-shot to unseen hospitals and cancer types.
Biomolecular sequence-structure co-design that plans over frozen folding and inverse-folding models with Monte Carlo tree search, training nothing.
Designs RNA and DNA aptamers against protein targets by backpropagating binding and anti-binding objectives through a frozen all-atom predictor.
Transformer U-Net pretrained on 6 trillion tokens of multi-species DNA, predicting expression and epigenomic tracks across 1 Mb of context.
Infers gene-centered chromatin interactions from bulk RNA-seq alone, mapping 3D genome changes across 12,347 tumor and normal transcriptomes.
DNA-binding residue prediction across folded domains and disordered protein regions, with contrastive training that suppresses cross-predictions.
RNA foundation model pretrained on 223 eCLIP experiments to predict base-resolution RBP binding, with frozen embeddings that transfer downstream.
Genome-scale synthetic lethality prediction for any human gene pair from Gene Ontology annotations, no protein interaction network required.
Genomic foundation model on a Mamba, attention, and mixture-of-experts backbone, with 1M-token context for variant scoring and regulatory DNA design.
Cellular foundation models predicting how human cells respond to genetic and pharmacological perturbation, trained on petascale multi-omic data.
Biosynthetic gene cluster discovery in plant genomes, transferring supervision from microbial BGCs by label-free adaptation over Pfam-domain tokens.
Non-coding variant prioritization for rice GWAS loci, ranking SNPs by predicted effects on 12 chromatin features via a fine-tuned DNABERT-2.
Single-cell cancer model scoring driver-associated expression programs by projecting scRNA-seq through axes frozen from genotype-matched bulk tumors.
Multimodal microbiome foundation model pretrained on 1.8 million samples. Frozen representations transfer to biome classification and forecasting.
RNA and single-stranded DNA 3D structure prediction from sequence alone, with no MSA or language-model inputs and roughly 100x cheaper inference.