All Competitors

Regulatory genomics model predicting cell-type-specific RNA-seq coverage from DNA sequence, unifying transcription, splicing, and polyadenylation.

Anti-phage defense gene classifier pairing protein language model embeddings with genomic features to find immune systems outside defense islands.

Genomic language model reading bacterial gene neighborhoods as sentences of protein-family tokens to predict anti-phage defense function.

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.

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.

Multi-omics instruction-tuned LLM that reads DNA, RNA, protein, and multi-molecule sequences and answers natural-language questions about them.

Base-resolution chromatin accessibility model that factors out enzyme sequence bias to score regulatory variants and transcription factor footprints.

Chromatin loop caller for Hi-C, Micro-C, DNA SPRITE, and single-cell contact maps, pairing axial attention with a U-Net to work at very low coverage.

Multiomic foundation model for zero-shot in silico perturbation, predicting gene regulation and cell fate transitions from DNA and ATAC signal.

Single-cell epigenomic foundation model that reads scATAC-seq as cell sentences of accessible cCREs, pretrained on about 5 million human cells.

Hi-C foundation model pretrained on 118 million contact submatrices, fine-tuned for loop detection, resolution enhancement and epigenomic prediction.

Transcription factor binding-site prediction from DNA sequence, recast as 23-way DNA-binding-domain classification with a fine-tuned DNABERT.

Resolution enhancement for sparse single-cell Hi-C contact matrices, using a cascading residual GAN with self-attention over chromatin loci.

DNA- and RNA-binding residue prediction from a nucleic-acid-adapted protein language model and an equivariant graph network over protein structure.

Variant-origin classifier for cell-free DNA, separating clonal hematopoiesis from tumor-derived mutations without matched white blood cell sequencing.

Disease embeddings learned from human genetic evidence and phenotype ontologies, placing rare and common conditions in one mechanistic vector space.

DNA language model for unassembled metagenomic reads, pretrained to recover coding fraction and reading frame from 60-300 bp fragments.

Reference-free enzyme class annotation of single unassembled metagenomic reads, assigning top-level EC classes without assembly or homology search.

Diffusion surrogate for DNA breathing simulations, generating biophysical features genome-wide to sharpen transcription factor binding prediction.