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
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Python package for graph neural networks in chemistry and biology
Benchmarking analysis of data integration tools
talk with NCBI entrez using R
scPerturb: A resource and a python/R tool for single-cell perturbation data
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
Data visualisation web components for the life sciences.
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
The framework for quantification of neuronal anatomy
Tool for precise, interactive, fast and scalable FISH spot detection
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