SCANNER

SCANNER provides annotation, visualization, and sharing of single-cell RNA sequencing (scRNA-seq) data to enable functional annotation and comparison of gene-set activity at single-cell resolution.

Key Features:

• Comprehensive analysis and visualization: Performs dynamic analysis and visualization of scRNA-seq data and enables comparison of gene-set activation at single-cell resolution.
• Functional annotation and activeness inference: Infers functional annotations and gene-set activeness across individual cells.
• Data sharing and interfaces: Provides multiple data interfaces for sharing and exchanging scRNA-seq datasets among collaborators.
• Specialized smoking–lung database: Includes an online database focused on the effects of smoking on single-cell gene expression in lung tissues.

Scientific Applications:

• Cancer research: Identification of increased proportions of cancer-associated fibroblast cells and elevated activity of fibroblast growth-related genes in melanoma tissues with observed sex-associated differences.
• Viral entry mechanism studies: Analysis revealing ACE2 expression predominantly in pneumocytes, secretory cells, and ciliated cells, with variation in expression linked to smoking behavior.

Methodology:

Annotation, dynamic analysis and visualization of scRNA-seq data, comparison of gene-set activation at the single-cell level, and inference of functional activeness.