GESS-db

GESS-db catalogs and analyzes SARS-CoV-2/hCoV-19 complete genome sequences to characterize single nucleotide variants (SNVs) and monitor viral evolution.

Key Features:

• Comprehensive data: Compiles tens of thousands of high-quality, high-coverage SARS-CoV-2 complete genomes enabling detailed analysis of SNVs across the viral genome.
• SNV cataloging and characterization: Identifies and annotates single nucleotide variants (SNVs) across genomic positions, regions, and proteins.
• Temporal analysis: Captures time-dependent patterns of SNV occurrences, including monthly summaries highlighting the top 100 newly identified SNVs worldwide.
• Co-occurrence analysis: Enables investigation of SNVs that co-occur with specific variants of interest to assess potential interactions and correlated evolutionary changes.
• Geographic distribution: Associates genomes and SNVs with global and subnational location metadata, including state-level annotations for the USA, to support spatial analysis of viral variation.
• Mutation rate calibration and conserved-region identification: Provides data and metrics to calibrate mutation rates and identify conserved regions within the SARS-CoV-2 genome.

Scientific Applications:

• Viral evolution monitoring: Tracks migration and evolutionary dynamics of SARS-CoV-2 through analysis of genomic variation.
• Prevalence and trend modeling: Supplies SNV frequency and temporal data to inform prevalence prediction and epidemiological models.
• Public health decision support: Provides genomic evidence on variant emergence and spread to inform public health policy decisions.
• Vaccine and target identification: Identifies significant evolutionary trends and conserved or variable regions that can inform vaccine design and antigen selection.

Methodology:

GESS-db leverages high-throughput sequencing data to perform a global evaluation of SARS-CoV-2/hCoV-19 complete genomes and integrates comprehensive genomic information with analytical tools to identify and characterize single nucleotide variants (SNVs).