Bayesian phylodynamics has become an indispensable tool for reconstructing the evolutionary and population dynamics of pathogens, directly informing public health and drug development strategies.
Selecting an appropriate nucleotide substitution model is a critical, yet often overlooked, step in phylogenetic analysis that directly impacts the accuracy of inferred evolutionary relationships, divergence times, and population histories.
Sampling bias presents a critical challenge in viral phylogenetics, threatening the validity of evolutionary reconstructions, epidemiological models, and public health interventions.
Effective phylodynamic inference, crucial for understanding pathogen transmission and evolution, is highly dependent on strategic sampling.
This article provides a comprehensive overview of phylodynamic inference for estimating the basic reproduction number (R0), a critical epidemiological parameter.
Discrete Trait Analysis (DTA) has become a cornerstone method in molecular epidemiology for reconstructing pathogen transmission routes and uncovering outbreak dynamics.
This article provides a comprehensive resource for researchers and drug development professionals on the Luria-Delbrück fluctuation assay, a foundational method for measuring microbial mutation rates.
This article provides a comprehensive overview of molecular clock dating as applied to viral evolution, addressing the critical needs of researchers, scientists, and drug development professionals.
Next-generation sequencing (NGS) has revolutionized the tracking and analysis of viral mutation rates, becoming an indispensable tool for researchers and drug development professionals.
This article provides a comprehensive overview of birth-death models for estimating epidemic growth rates, tailored for researchers, scientists, and drug development professionals.