Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Data Apps & Dashboards for Python. No JavaScript Required.
Official git repository for Biopython (originally converted from CVS)
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
A full spaCy pipeline and models for scientific/biomedical documents.
- scientific-documents
- spacy
- custom-pipes
- nlp
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Cloud-native genomic dataframes and batch computing
Plant phenotyping with image analysis
Python package for graph neural networks in chemistry and biology
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
- dna
- k-mer
- python
- bloom-filter
Interactive network visualization in Python and Dash, powered by Cytoscape.js
- plotly-dash
- plotly
- dash
- cytoscape
Graph-linked unified embedding for single-cell multi-omics data integration
A dependency-free cross-platform swiss army knife for PDB files.
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
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
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
Autonomous multi-agent framework to optimize scientific software
MCP server for spatial transcriptomics analysis through natural language interfaces.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics