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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 265–288 of 423 filtered models
Diffusion transformer for genetic mapping that generates and classifies bulk segregant point clouds to localize causal mutations at 0.3 Mb.
Genomics foundation model for genome-scale SNP analysis, handling imputation, phasing, ancestry, and relatedness from one 0.8B-parameter checkpoint.
Regulatory variant effect prediction from DNA sequence, trained only on nervous-tissue epigenomic assays to score non-coding SNPs in brain disorders.
Slide-level pathology foundation model that encodes a whole-slide image of any size into one embedding, supervised by paired sequencing data.
Translates whole-brain imaging phenotypes between humans and mice through a shared latent space built from transcriptomics and connectivity.
Base-pair resolution sequence-to-activity CNN predicting ATAC-seq Tn5 insertion profiles and accessibility across 90 mouse immune cell types.
Gene regulatory network inference from single-cell or bulk RNA-seq with a graph transformer. One checkpoint transfers across species and cell types.
DNA language model pretrained jointly on English, protein, and genomic text under one BPE vocabulary, transferring text segmentation skills to DNA.
Epigenome imputation transformer predicting raw read counts with calibrated confidence intervals, and denoising low-quality experiments in place.
Nanopore basecaller built on a Squeezeformer encoder, turning raw ion-current signal into DNA at 93.97% average read identity across 11 datasets.
DNA foundation model encoding the genome as probabilistic allele frequencies from the 1000 Genomes Project. 86M parameters, single-nucleotide tokens.
Somatic copy-number alteration calling from tumor whole-genome sequencing, using Mamba and Hyena blocks over genome-scale inputs of about 1M loci.
Generative microbiome language model writing disease-conditioned community profiles and predicting post-transplant composition for FMT donors.
Genetic language model predicting disease risk and cell-type-specific expression changes from up to 88 megabases of an individual's genome sequence.
Regulatory genomics model predicting cell-type-specific RNA-seq coverage from DNA sequence, unifying transcription, splicing, and polyadenylation.
Genomic language model reading bacterial gene neighborhoods as sentences of protein-family tokens to predict anti-phage defense function.
Anti-phage defense gene classifier pairing protein language model embeddings with genomic features to find immune systems outside defense islands.
CRISPR-Cas PAM specificity prediction directly from Cas protein sequence, plus computational evolution of Cas9 variants toward a chosen PAM.
Gene function prediction over the Gene Ontology graph, inferring new GO annotations for a gene or gene product from the ones it already carries.
Metagenomic foundation model pretrained on 1.5 trillion base pairs of wastewater DNA and RNA for pathogen detection and biosurveillance.
Microbiome community foundation model pretrained on 263,302 samples, encoding genus abundance as ranked tokens for classification and generation.
Transformer predicting microbial gene expression from an annotated genome alone, using protein language model embeddings of every coding sequence.
Multi-omics instruction-tuned LLM that reads DNA, RNA, protein, and multi-molecule sequences and answers natural-language questions about them.
DNA methylation foundation model that encodes 5mC as a fifth base, pretrained on 568 million BS-seq reads for tissue-of-origin and expression tasks.