COVIDomic

COVIDomic performs multi-modal metatranscriptomic and multi-omics analyses of COVID-19 patient data to characterize SARS-CoV-2 genetic epidemiology, microbial co-infections, antibiotic resistance profiles, and patient stratification.

Key Features:

• Multi-Omics Analysis: Integrates diverse omic datasets to provide a holistic view of host and pathogen molecular signatures in COVID-19.
• Multi-Modal Metatranscriptomic Analysis: Applies metatranscriptomic approaches to profile active microbial and viral transcripts within patient samples.
• Microbial Pathogen Community Analysis: Identifies microbial community composition and common co-infecting pathogens and assesses antibiotic resistance profiles alongside SARS-CoV-2 data.
• Genetic Epidemiology: Supports analysis of SARS-CoV-2 genetic variation to track viral evolution and geographic spread.
• Patient Stratification: Stratifies patients by disease severity and clinical parameters to associate molecular signatures with clinical outcomes.

Scientific Applications:

• Strain and Co-infection Characterization: Elucidates SARS-CoV-2 strain-specific features and microbial co-infections that may influence disease course.
• Outcome Prediction and Clinical Correlation: Links omic and metatranscriptomic signatures to patient severity categories to inform prognosis.
• Preparedness and Pathogenesis Studies: Facilitates analyses that inform outbreak response strategies and advance understanding of viral pathogenesis and public health interventions.

Methodology:

Employs an integrative analytical workflow combining multi-modal metatranscriptomic analysis with microbial pathogen community analysis, genetic epidemiology, and patient stratification.