COMBATdb

COMBATdb provides a curated multi-omics database to enable integrative analysis of human blood responses to SARS-CoV-2 infection.

Key Features:

• Multi-Omics Integration: Integrates whole blood transcriptomics, plasma proteomics, epigenomics, single-cell multi-omics, immune repertoire sequencing, flow cytometry, and mass cytometry.
• Diverse Sample Cohorts: Includes cohorts of hospitalized COVID-19 patients across severities, community cases, healthy controls, and patients with all-cause sepsis and influenza.
• Processed Data and Annotations: Provides processed datasets with sample-level metadata and categorizations by cell type and gene/protein to support cross-modal analyses.
• Comparative Analysis: Enables comparative studies between COVID-19 and other infectious diseases to identify shared and disease-specific immunological features.

Scientific Applications:

• Pathogenesis of COVID-19: Supports dissection of immune responses to characterize mechanisms of SARS-CoV-2 pathogenesis.
• Precision Medicine: Facilitates analysis of individual variation in immune profiles to inform patient-specific therapeutic strategies.
• Comparative Immunology: Allows identification of unique and common immune pathways across COVID-19, sepsis, and influenza cohorts.

Methodology:

Processed multi-omics profiles are organized into a structured framework for multi-modal data exploration.