SingleQ

SingleQ curates and provides comprehensive summary statistics of single-cell expression quantitative trait loci (sc-eQTLs) across human tissues to facilitate research into cell type-specific gene regulation.

Key Features:

• sc-eQTL Data Collection: The database collects single-cell eQTL (sc-eQTL) datasets from published studies.
• Cross-Tissue Coverage: The database provides sc-eQTL data across different cell types in human tissues.
• Online Visualization: The database provides online visualization of sc-eQTLs across different cell types.
• Summary Statistics Curation: The database curates summary statistics of sc-eQTLs published to date.

Scientific Applications:

• Functional Genomics Research: The database accelerates research of functional genomics by providing comprehensive sc-eQTL data.
• Disease-Associated Variant Characterization: sc-eQTL mapping helps characterize the modes of action of disease-associated genetic variants in specific cellular contexts.
• Cell Type-Specific Gene Regulation: The database enables investigation of gene regulation in specific cellular contexts that bulk RNA-seq approaches cannot address.

Methodology:

The database curates summary statistics from published sc-eQTL studies and provides online visualization of sc-eQTLs across different cell types.