Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
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DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- tensorflow
- deep-neural-network
- genomics
- science
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
- openworm
- elegans
- biology
- simulation
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
- ai4science
- research
Chai-1, SOTA model for biomolecular structure prediction
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Biological foundation modeling from molecular to genome scale
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
- ai-agents
- bioinformatics
- equity
- genomics
An open-source application for biological image analysis
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
Generation of protein sequences and evolutionary alignments via discrete diffusion models
- discrete-diffusion
- generative-model
- multiple-sequence-alignment
- protein-sequences
Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
Generative biopolymer design with rich conditioning.
A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
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
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
RNA-seq prediction with deep convolutional neural networks.
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.