scMoresDB

scMoresDB re-analyzes single-cell multi-omics datasets to provide cross-omics search capabilities, interactive visualizations, and analytical tools for comprehensive data sharing and integrative analysis of human respiratory diseases.

Key Features:

• Cross-omics search: Enables searching across multiple omics types in single-cell multi-omics datasets.
• Interactive visualizations: Provides graphical representations of single-cell multi-omics data for human respiratory diseases.
• Analytical tools: Supports integrative analysis of single-cell multi-omics data relevant to the human respiratory system and associated diseases.
• Data sharing: Facilitates comprehensive sharing of re-analyzed single-cell multi-omics datasets.

Scientific Applications:

• SARS-CoV-2 infection research: Identifies the potential significance of BSG receptor in SARS-CoV-2 infection.
• Chronic obstructive pulmonary disease research: Reveals involvement of HHIP and TGFB2 in the development and progression of chronic obstructive pulmonary disease.

Methodology:

scMoresDB re-analyzes single-cell multi-omics datasets.