Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
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Official repository for the Boltz biomolecular interaction models
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Code for running RFdiffusion
Chai-1, SOTA model for biomolecular structure prediction
Deep probabilistic analysis of single-cell and spatial omics data
Biological foundation modeling from molecular to genome scale
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Spatial Single Cell Analysis in Python
Generative biopolymer design with rich conditioning.
A tool for semi-automatic cell type classification
Graph-linked unified embedding for single-cell multi-omics data integration
Sequential regulatory activity predictions with deep convolutional neural networks.
Benchmarking analysis of data integration tools
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
UCE is a zero-shot foundation model for single-cell gene expression data
RNA-seq prediction with deep convolutional neural networks.
Schema and generated objects for biolink data model and upper ontology
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.