OATML-Markslab / EVE
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
☆167Updated last year
Alternatives and similar repositories for EVE:
Users that are interested in EVE are comparing it to the libraries listed below
- ☆71Updated last year
- A generative latent variable model for biological sequence families.☆214Updated 3 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆72Updated 11 months ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆50Updated 2 years ago
- ☆78Updated 5 months ago
- Efficient evolution from protein language models☆192Updated last year
- Evolutionary velocity with protein language models☆89Updated last year
- Multi-task and masked language model-based protein sequence embedding models.☆99Updated 3 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆50Updated 10 months ago
- Bilingual Language Model for Protein Sequence and Structure☆225Updated 2 months ago
- ☆29Updated 2 years ago
- Multi-class signal peptide prediction and structure decoding model.☆83Updated last month
- Language modeling of viral evolution☆143Updated last year
- Repository for mRNA Paper and CodonBERT publication.☆125Updated 9 months ago
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆147Updated last year
- Draw RNA secondary structures in python.☆47Updated 6 months ago
- ☆32Updated 2 weeks ago
- Genomic Pre-trained Network☆251Updated last week
- Collection of papers related to BCR repertoire analyses☆18Updated 3 years ago
- Inference of couplings in proteins and RNAs from sequence variation☆108Updated 2 years ago
- Evolutionary couplings from protein and RNA sequence alignments☆258Updated 2 weeks ago
- ☆51Updated last year
- Genomic language model predicts protein co-regulation and function☆72Updated last year
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆60Updated last year
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆122Updated 3 years ago
- Mutation effects predicted from sequence co-variation☆63Updated 7 years ago
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆95Updated 6 months ago
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆35Updated 4 months ago
- Official release of the ProGen models☆29Updated last month