Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Official git repository for Biopython (originally converted from CVS)
Official repository for the Boltz biomolecular interaction models
Biomni: a general-purpose biomedical AI agent
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
The repository host gives no description.
Making Protein folding accessible to all!
Single-cell analysis in Python. Scales to >100M cells.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Chai-1, SOTA model for biomolecular structure prediction
Biological foundation modeling from molecular to genome scale
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
An open-source application for biological image analysis
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Cloud-native genomic dataframes and batch computing
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
C library for high-throughput sequencing data formats
Foundation Models for Genomics & Transcriptomics
Precision Medicine Knowledge Graph (PrimeKG)
Python package for graph neural networks in chemistry and biology