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SVAMP: sequence variation analysis, maps and phylogeny.

Raeece Naeem1, Lailatul Hidayah1, Mark D Preston1

  • 1Pathogen Genomics Laboratory, Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia and Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.

Bioinformatics (Oxford, England)
|April 5, 2014
PubMed
Summary
This summary is machine-generated.

SVAMP is a desktop application for visualizing genomic variants and geographical data. It aids in tracking pathogen outbreaks and analyzing population genetics using phylogenetic trees and various real-time visualizations.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomic variant analysis is crucial for understanding pathogen evolution and outbreaks.
  • Integrating geographical metadata with variant data provides critical insights into population structure and spread.

Purpose of the Study:

  • To introduce SVAMP, a novel desktop application for visualizing genomic variants in geographical context.
  • To provide tools for real-time phylogenetic analysis and population genetics metrics from variant call format (VCF) data.

Main Methods:

  • Developed a stand-alone desktop application using Qt/C++.
  • Implemented real-time visualization of phylogenetic trees, principal coordinate analysis, allele frequency maps, and population genetics metrics (e.g., Tajima's D).
  • Utilized variant call format (VCF) files and associated geographical metadata.

Main Results:

  • SVAMP successfully tracked a methicillin-resistant Staphylococcus aureus outbreak across 15 countries.
  • Demonstrated scalability and accuracy on 245 Plasmodium falciparum isolates from three continents.
  • Enabled real-time generation of phylogenetic trees and various geographical and genetic visualizations.

Conclusions:

  • SVAMP is an effective tool for visualizing genomic variants alongside geographical metadata.
  • The application facilitates real-time phylogenetic analysis and population genetics studies.
  • SVAMP aids in tracking infectious disease outbreaks and understanding pathogen population dynamics.