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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 241–264 of 400 filtered models
Metagenome misassembly detection and correction that renders read-to-contig alignments as multi-channel images scored by a contrastive CNN.
Long-context generative genomic foundation model with a 98k-nucleotide window, trained on 386 billion bases of eukaryotic DNA for sequence design.
Genomic foundation model for metagenomic annotation: a 500M-parameter bidirectional encoder calling coding regions at single-nucleotide resolution.
Multi-omics foundation model that folds DNA, RNA, and protein into one codon-level nucleotide representation following the central dogma.
Yeast gene regulatory network model with one pretrained subnetwork per gene, simulating target-gene response to transcription factor perturbation.
Single-cell ATAC-seq foundation model that builds cell representations from non-zero chromatin peaks via peak-to-gene alignment.
CRISPR-Cas9 repair outcome prediction from microhomology and sequence features, with transfer learning that adapts to a new cell line from 50 samples.
Perturbation representation model embedding CRISPR gene targets and small molecules in one space, transferring genetic screen models to drug response.
4B-parameter generative genome foundation model trained on assembled environmental metagenomes for microbial representation and de novo DNA design.
Autoregressive genomic foundation models from 20M to 1B parameters that solve ten DNA tasks at once and map sequences to text and images.
Plant genomic foundation model with a 64 kb single-nucleotide context that predicts gene structures and generates de novo plant gene sequences.
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.