Official git repository for Biopython (originally converted from CVS)
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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.
Single-cell analysis in Python. Scales to >100M cells.
Data intensive science for everyone.
Open source tools for computational pathology - Nature BME
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Cloud-native genomic dataframes and batch computing
Python package for graph neural networks in chemistry and biology
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Vision-Language Pathology Foundation Model - Nature Medicine
Graph-linked unified embedding for single-cell multi-omics data integration
A dependency-free cross-platform swiss army knife for PDB files.
AI-based pathology predicts origins for cancers of unknown primary - Nature
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
A tool for cell instance aware segmentation in densely packed 3D volumetric images
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
TypeDB Bio: Biomedical Knowledge Graph
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
MCP server for spatial transcriptomics analysis through natural language interfaces.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics