cellphonedb

is a Data Source.

CellPhoneDB is a publicly available repository of manually curated human receptors, ligands and their interactions, paired with a statistical tool to infer cell-cell communication from single-cell transcriptomics data. It accounts for the subunit architecture of both ligands and receptors, accurately representing heteromeric complexes, and predicts enriched signaling between cell types based on the combined expression of interacting partners.

License

MIT

Homepage

cellphonedb

Repository

GitHub

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
cellphonedb.database ⚠ CellPhoneDB Interactions Database downloads Mapping csv Curated database of human receptors, ...
cellphonedb.package CellPhoneDB Python Package CellphoneDB Process python Python package that interrogates sing...
cellphonedb.web CellPhoneDB Web Interface www.cellphonedb.org Graphical Interface http Web interface for browsing and search...
cellphonedb.docs CellPhoneDB Repository and Documentation CellphoneDB Documentation http Source code, tutorials, and documenta...
From other Resources
ID Name URL Category Format Relation Description
biobtree.api BioBTree REST API api Programming Interface http had primary source REST API for searching identifiers an...
biobtree.graph.human-subgraph BioBTree Knowledge Graph - Human Subgraph (KGX) 20816742 Graph kgx had primary source Human-scoped, Neo4j-ready subgraph of...

Details

CellPhoneDB

CellPhoneDB is a publicly available repository of manually curated human receptors, ligands and their interactions, paired with a statistical tool to infer cell-cell communication from single-cell transcriptomics data. Unlike resources that treat interactions as binary pairs, CellPhoneDB accounts for the subunit architecture of both ligands and receptors, accurately representing heteromeric complexes.

In KG-Registry, the CellPhoneDB products surface the curated interactions database, the Python analysis package that predicts enriched cell-cell interactions from single-cell expression data, the web interface for browsing the database, and the source code and documentation.

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Created: June 15, 2026 | Last modified: September 23, 2026