All Competitors

Codon-resolution language model suite pairing a bidirectional encoder with an autoregressive decoder over protein-coding sequences.

Sequence-to-function model predicting cell-type- and disease-specific gene expression from DNA, trained on pseudobulk profiles from 22 million cells.

Perturbation target identification for single-cell transcriptomics, reading intervened genes off the difference between two inferred causal graphs.

RNA language model that predicts G-quadruplex formation and subtype from transcript sequence and scores how single-nucleotide variants alter folding.

Cis-regulatory element classifier that reads DNA sequence plus chromatin accessibility and loop tracks to label enhancers, silencers and insulators.

Gene expression prediction across a megabase of DNA that aligns frozen regulatory sequence features to language-model tokens by cross-attention.

Generative DNA language model for plasmid design and annotation, pretrained on 153,208 engineered plasmid sequences deposited in Addgene.

Genomic language model whose 63.6M-parameter encoder reads sequences beyond 140,000 tokens, matching far larger DNA models across the GUE benchmark.

Assembly polishing model predicting base-level corrections to a diploid genome from PacBio HiFi read alignments, cutting base errors by about half.

Manufacturing-aware generative sequence models whose parameters are DNA synthesis reaction conditions, so designs are made in vitro at petascale.

Genomics language model tuned from Llama on curated gene, protein and phenotype records for medical-genetics QA and gene-disease relation calls.

Single-cell Hi-C model annotating chromatin loops, TAD-like domains, and A/B compartments from sparse contact maps with no dense imputation.

Codon optimization model designing host-specific coding DNA for a target protein, conditioned on any of 164 organisms across all domains of life.

Non-coding variant effect prediction for DNA methylation, scoring the direction and magnitude of a SNP's effect on CpG sites up to 100 kbp away.

Nanopore basecaller for fully 5-hydroxymethylcytosine-substituted DNA, reading raw ion current from strands that standard basecallers cannot resolve.

Mixed-modality genomic language model encoding protein coding sequences as amino acids and intergenic DNA as nucleotides in native genomic context.

Conditional generator of bulk transcriptome and DNA methylation profiles, sampling tissue-, age- and species-matched synthetic omics samples.

A Wasserstein GAN that generates artificial human genomes in PCA space, synthesizing 65,535-SNP haplotypes for 26 worldwide populations.

Genome language model that embeds a genome as a set of contextualized protein embeddings, pretrained on over 100,000 viruses for viromics.

Chromatin-state language model pretrained on ROADMAP annotations from 127 human cell types to find chromatin-state motifs and predict gene expression.

Multi-omics transformer generating transcriptomic, methylation and proteomic signatures for a given tissue, disease, age group, sex and compound.

DNA language model of the human genome with a vocabulary learned by byte-pair encoding rather than fixed k-mers, fine-tuned for genome biology tasks.

Histopathology image translation with diffusion, moving H&E tiles between stains, tumor types, and organ sites and editing them from omics profiles.