scSVAS

scSVAS visualizes and analyzes single-cell copy number variation (CNV) data to enable exploration of intra-tumor heterogeneity, identification of tumor subgroups, and reconstruction of tumor evolutionary trajectories in cancer research.

Key Features:

• Real-Time Interactive Visualization: Provides dynamic, real-time interactive visualization of single-cell CNV data for exploratory analysis.
• End-to-End CNV Analysis Support: Supports multiple stages of single-cell CNV analysis, including data management and investigation.
• Scalability for Large-Scale Single-Cell Throughput: Efficiently handles large-scale single-cell datasets to process high-throughput genomic data at scale.
• Publication-Ready Outputs: Exports high-quality figures suitable for publication.

Scientific Applications:

• Clonal Evolution and Tumor Progression: Enables reconstruction and visualization of tumor evolutionary trajectories and clonal evolution from single-cell CNV profiles.
• Intra-Tumor Heterogeneity and Subgroup Identification: Facilitates identification of tumor subgroups and characterization of intra-tumor heterogeneity using CNV signals at single-cell resolution.
• Treatment Resistance Studies: Supports analysis of CNV patterns relevant to tumor progression and treatment resistance.

Methodology:

Processes uploaded input files and automatically generates interactive visualizations of single-cell CNV data.