is a Data Source.
The Connectivity Map (CMap) is a collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules and simple pattern-matching algorithms that together enable the discovery of functional connections between drugs, genes, and diseases through common gene-expression changes. The original CMap resource is now integrated into the CLUE platform.
drug discovery, genomics, biomedical
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| ID | Name | URL | Category | Format | Description |
|---|---|---|---|---|---|
| pharmkg.graph | PharmKG graph | 4077338 | GraphProduct | ❔ | Cleaned benchmark graph (PharmKG-8k) ... |
| ubkg.neo4j | UBKG Neo4j Docker Distribution | ubkg-downloads.xconsortia.org | GraphProduct | ❔ | Turnkey neo4j distributions that depl... |
| ubkg.csv | UBKG Ontology CSV Files | ubkg-downloads.xconsortia.org | GraphProduct | csv | Ontology CSV files that can be import... |
The Connectivity Map (CMap) is a pioneering resource that uses genome-wide transcriptional expression data to discover functional connections between drugs, genes, and diseases. Developed at the Broad Institute, CMap analyzes gene-expression signatures from cultured human cells treated with various bioactive small molecules to identify unexpected therapeutic relationships and mechanisms of action.
The Connectivity Map project revolutionized drug discovery by enabling researchers to:
The original Connectivity Map resource has been superseded by and integrated into the CLUE platform, which provides expanded data and enhanced tools for exploring connections between genes, drugs, and diseases.
Lamb J, Crawford ED, Peck D, et al. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease. Science. 2006;313(5795):1929-1935.
Created: August 12, 2025 | Last modified: October 07, 2025