DeepVRegulome models
464 fine-tuned DNABERT models for transcription factor binding, histone marks and splice sites.
Everything we release is open. Use it, build on it, and tell us what you find.
464 fine-tuned DNABERT models for transcription factor binding, histone marks and splice sites.
Pre-trained foundation model for viral genomes, built on DNABERT-2.
Fine-tuned models for viral pathogenicity, transmissibility and host tropism.
Efficient multi-species genome foundation model (117M parameters), co-developed with the MAGICS Lab.
Benchmark for viral pathogenicity, transmissibility and host tropism prediction, with standard train and test splits.
Genome Understanding Evaluation: 36 datasets across 9 genome tasks, released with DNABERT-2.
Python package to score how short variants affect the regulome, with motif-level explanations.
Evidence-constrained agentic framework for interpreting noncoding variants.
Training and fine-tuning code for DNABERT-2.
Interactive web app to explore variant effect predictions across cancer and neurodegeneration cohorts.
Using one of these in your work? Please cite the paper on its project page.