COVID19db

COVID19db integrates open-access COVID-19 transcriptomic datasets to enable comparative analysis of host responses, host–pathogen interactions, and transcriptome-scale drug and target discovery.

Key Features:

• Extensive Data Repository: Contains 95 transcriptomic datasets comprising 4,127 human samples from 13 body sites annotated for exposure to 33 microbes and 33 drugs/agents.
• Standardization and Annotation: Each dataset is standardized and annotated with extensive clinical and sample information.
• Analytical Applications: Provides 14 distinct analytical applications for exploring mechanisms underlying COVID-19, with support for custom grouping, configurable settings, and analysis of external datasets.
• Drug Discovery Tool: Implements a Drug Discovery tool that identifies potential drugs and molecular targets at a whole-transcriptome scale.

Scientific Applications:

• Host–pathogen interaction analysis: Investigation of host–pathogen interactions across multiple human tissues and body sites.
• Pathway and mechanism analysis: Exploration of molecular pathways implicated in disease progression and response to treatment.
• Drug target identification and repurposing: Identification of novel drug targets and repurposing opportunities for therapeutic intervention against SARS-CoV-2.

Methodology:

Integration of diverse transcriptomic datasets with standardized processing and comprehensive clinical and sample annotation.