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)
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
Single-cell analysis in Python. Scales to >100M cells.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
Deep probabilistic analysis of single-cell and spatial omics data
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
An open-source application for biological image analysis
Cloud-native genomic dataframes and batch computing
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Python package for graph neural networks in chemistry and biology
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Spatial Single Cell Analysis in Python
A tool for semi-automatic cell type classification
Graph-linked unified embedding for single-cell multi-omics data integration
A dependency-free cross-platform swiss army knife for PDB files.
Benchmarking analysis of data integration tools
Schema and generated objects for biolink data model and upper ontology
Ankh: Optimized Protein Language Model
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
Open-source software for exploring and analyzing large, high-dimensional image-derived data.