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Updated: Nov 6, 2025
09:26
Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro
Published on: June 6, 2025
809
VGsim: scalable viral genealogy simulator for global pandemic
Vladimir Shchur1, Vadim Spirin1, Dmitry Sirotkin1
1HSE University, Russian Federation.
Summary
A new simulator, VGsim, efficiently generates large-scale viral genealogies for pandemic research. It models complex evolutionary processes and population dynamics, aiding in understanding viral spread and variant emergence.
Area of Science:
- Computational Biology
- Epidemiology
- Molecular Evolution
Background:
- Accurate simulation of biological processes is crucial for developing new technologies and inference methods.
- Millions of SARS-CoV-2 genomes have been sequenced, providing rich data for phylogenetic and evolutionary studies.
- Existing frameworks lack the efficiency and flexibility for world-scale pandemic simulations and generating millions of viral genealogies.
Conclusions:
- VGsim provides an efficient and flexible solution for simulating large-scale viral genealogies.
- This tool can significantly advance research into viral evolution, pandemic spread, and the identification of advantageous viral variants.
- The freely available code facilitates broader adoption and research in the field.
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