OATML / 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.
☆65Updated 2 years ago
Alternatives and similar repositories for EVE:
Users that are interested in EVE are comparing it to the libraries listed below
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆46Updated 7 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- ☆71Updated last year
- Diverse Genomic Embedding Benchmark☆43Updated 5 months ago
- Evolutionary velocity with protein language models☆89Updated last year
- Cross-protein transfer learning for variant effect prediction☆20Updated last year
- Mutation effects predicted from sequence co-variation☆63Updated 7 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆56Updated 3 years ago
- Code for "Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning"☆17Updated 8 months ago
- GraphPart, a data partitioning method for ML on biological sequences☆24Updated last year
- Python package and command line tool for epitope prediction☆51Updated 7 months ago
- ☆35Updated 2 months ago
- Improving RNA structure prediction through multitask learning on diverse crowdsourced data.☆56Updated 8 months ago
- ☆25Updated 5 years ago
- CodonBert: a BERT-based architecture tailored for codon optimization using the cross-attention mechanism.☆34Updated 6 months ago
- Knowledge-primed neural networks☆35Updated last year
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆35Updated 4 months ago
- A software-suite to perform multiple protein structure alignment and structure feature extraction.☆28Updated last year
- Deep mutational scanning of the receptor-binding domain of SARS-CoV-2 Spike☆44Updated 3 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆44Updated 5 years ago
- Predict the structure of immune receptor proteins☆48Updated 4 months ago
- Draw RNA secondary structures in python.☆47Updated 6 months ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity