ViVan

ViVan analyzes deep sequencing data to identify and characterize sequence variation in RNA virus populations (mutant spectra or quasispecies) for studies of population dynamics and resistance.

Key Features:

• Identification and Characterization: Detects sequence variations across viral genomes to resolve mutant spectra and quasispecies composition.
• Comparative Analysis: Compares variant frequencies between datasets or time points to assess population dynamics and evolutionary trends.
• Error Mitigation: Accounts for high error rates typical of deep sequencing technologies to improve the reliability of variant detection and characterization.
• Application Scope: Supports detection of resistant mutations, assessment of antiviral treatment effects, and temporal population characterization for evolutionary research.

Scientific Applications:

• Detection of Resistant Mutations: Identifies mutations associated with resistance to antiviral treatments within virus populations.
• Antiviral Treatment Analysis: Examines how virus populations respond to antiviral interventions over time.
• Evolutionary Studies: Characterizes temporal changes in populations to study viral adaptation and evolutionary dynamics.

Methodology:

Processes deep sequencing data obtained from samples previously characterized using classical methods.