This article provides a comprehensive examination of the accuracy and application of phylogenetic networks for characterizing introgression in evolutionary genomics.
This article provides a comprehensive exploration of Hidden Markov Models (HMMs) and their transformative role in detecting and analyzing introgression in comparative genomic studies.
Accurate detection of introgression—the transfer of genetic material between species—is crucial for understanding evolutionary history, adaptation, and the genetic basis of traits with biomedical relevance.
This article provides a comprehensive comparison of Discrete Trait Analysis (DTA) and Structured Birth-Death Models (SBDM), two foundational methods in phylogenetic inference for studying trait evolution and population dynamics.
Selecting an appropriate molecular clock model is a critical, yet often challenging, step in Bayesian phylogenetic analysis for studying pathogen evolution, drug resistance, and disease origins.
This article provides a comprehensive analysis of mutation accumulation studies in viruses, exploring the fundamental principles that govern viral evolution and their direct applications in biomedical research.
This article provides a comprehensive overview of Bayesian phylodynamic methods for analyzing epidemic spread, tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive overview of methodologies for estimating effective population size (Ne) from genetic data, tailored for researchers, scientists, and drug development professionals.
Antigenic drift, the gradual accumulation of mutations in viral surface proteins, is a primary mechanism for viral immune evasion, fundamentally challenging the durability of vaccines and therapeutics.
This article provides a comprehensive comparison of the Codon Capture and Ambiguous Intermediate theories, the two leading frameworks explaining genetic code evolution and reassignment.