Open source code for AlphaFold 2.
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AlphaFold 3 inference pipeline.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Genome modeling and design across all domains of life
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
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
Code for running RFdiffusion
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
- openworm
- elegans
- biology
- simulation
This package contains deep learning models and related scripts for RoseTTAFold
A versatile pairwise aligner for genomic and spliced nucleotide sequences
- bioinformatics
- sequence-alignment
- spliced-alignment
- genomics
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
Chai-1, SOTA model for biomolecular structure prediction
Code for the ProteinMPNN paper
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
The repository host gives no description.
- foundation-model
- gpt
- single-cell
Biological foundation modeling from molecular to genome scale
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Foundation Models for Genomics & Transcriptomics
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
- foundation-models
- genomics
- language-models
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
- dna
- k-mer
- python
- bloom-filter