ezSingleCell

ezSingleCell combines publicly available methods for single-cell and spatial omics data analysis, integration, and interactive data visualization within a unified interface.

Key Features:

• Multi-omics support: Analyzes various single-cell and spatial omics data types.
• Modular workflows: Consists of five modules, each providing a comprehensive workflow for one data type or task.
• Module crosstalk: Allows crosstalk between different modules within a unified interface.
• Multiple input formats: Accepts input data in a variety of formats.
• Publication-ready outputs: Generates publication-ready figures and tables.
• Performance: Analyzes a standard scRNA-seq dataset of 3000 cells in less than five minutes.

Scientific Applications:

• Single-cell RNA sequencing analysis: Performs in-depth analysis of scRNA-seq datasets.
• Spatial omics analysis: Supports analysis of spatial omics data types.
• Data integration: Integrates data across different single-cell and spatial omics datasets.
• Interactive data visualization: Enables interactive exploration and visualization of analysis results.

Methodology:

ezSingleCell integrates publicly available best-performing methods for single-cell and spatial omics data analysis into five module-based workflows with cross-module interoperability.