CoVdb
CoVdb provides comprehensive annotation and analysis of coronavirus genomes and proteomes to support comparative genomics, population genetics, and structural-functional investigations.
Key Features:
- Genomic Annotation: CoVdb annotates coronavirus genomes from GenBank and catalogs 780 possible open reading frames (ORFs) across documented strains.
- Population Genetics Analysis: CoVdb performs sliding-window population genetics analyses to assess genetic diversity and evolutionary trends across genomes.
- Functional and Structural Analysis: CoVdb conducts functional and structural analyses of coronavirus genes and proteins, including identification of conserved and variable regions.
- Gene Distribution and Topology: CoVdb reports gene distribution across strains and regions and predicts potential subcellular locations and topologies of gene products.
- Historical and Global Evaluation: CoVdb evaluates published coronavirus genomes on historical and global scales to characterize evolution and diversity.
- Proteomics Integration: CoVdb integrates proteomic information alongside genomic data to inform structural-functional interpretation.
Scientific Applications:
- Tracking Evolution: CoVdb enables comparative analyses to monitor coronavirus evolutionary dynamics over time and geography.
- Identifying Therapeutic Targets: CoVdb facilitates detection of conserved or functionally important genes and regions that may serve as targets for intervention.
- Investigating Cross-Species Transmission: CoVdb supports analysis of genetic changes associated with host shifts.
- Supporting Virology and Epidemiology: CoVdb provides genomic and proteomic data for studies of outbreak dynamics and pathogen biology.
Methodology:
Data are sourced from GenBank; the resource performs genome annotation to identify ORFs, sliding-window population genetics analyses, and integrated functional and structural analyses of genes and proteins.
Topics
Collections
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 2/17/2021
Operations
Publications
Zhu Z, Meng K, Meng G. A database resource for Genome-wide dynamics analysis of Coronaviruses on a historical and global scale. Unknown Journal. 2020. doi:10.1101/2020.02.05.920009.