WAVES

WAVES visualizes and analyzes pathogen sequencing results from environmental samples, primarily wastewater, to support detection and monitoring of variants such as SARS-CoV-2 BA.1 and signature mutations like Spike S:E484A.


Key Features:

  • Multi-layered Visualization: Displays geographic, temporal, and genomic views to reveal spatial patterns and temporal trends of pathogen spread.
  • Variant and Mutation Frequency Analysis: Computes frequencies of detected pathogen variants and individual mutations from sequencing data.
  • Configurability for Pathogens and Samples: Uses a configuration file to adapt analysis parameters and visualizations for different pathogens and environmental sample types.

Scientific Applications:

  • Environmental Surveillance: Monitors pathogen prevalence and distribution in wastewater and other environmental samples.
  • Public Health Surveillance and Early Detection: Detects and tracks emerging variants to inform public health responses, demonstrated for SARS-CoV-2 BA.1 and Spike mutation S:E484A.
  • Epidemiological Assessment and Forecasting: Supports assessment of epidemiological situations and aids forecasting from integrated genomic and geographic data.

Methodology:

Processes sequencing data from environmental samples by integrating genomic data with geographic and temporal metadata to compute variant and mutation frequencies and enable epidemiological assessment and forecasting.

Topics

Collections

Details

License:
MIT
Cost:
Free of charge
Tool Type:
desktop application, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
9/22/2023
Last Updated:
11/24/2024

Operations

Publications

Triska P, Amman F, Endler L, Bergthaler A. WAVES (Web-based tool for Analysis and Visualization of Environmental Samples)—a web application for visualization of wastewater pathogen sequencing results. Bioinformatics. 2023;39(4). doi:10.1093/bioinformatics/btad160. PMID:37018136. PMCID:PMC10081868.

PMID: 37018136
Funding: - Austrian Science Fund: # P34579

Links