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Explore determinants of selection responses in antibody libraries, focusing on key parameters and their impact on library evolution and optimization.
Explore SARS-CoV-2's early evolution, focusing on synonymous mutations and their role in evading the human innate immune system.
Explore new insights on multiple equilibria emergence in large, highly interactive ecosystems, focusing on theoretical advancements and practical implications.
Explore spatial population dynamics and their impact on evolutionary processes, focusing on genetic diversity and adaptation mechanisms.
Explore bacterial antibiotic resistance evolution through phenotypic delay modeling, uncovering insights into this critical health challenge.
Explore sequencing errors, phylogenetics, and SARS-CoV-2 transmission in hospitals with insights from a Cambridge researcher.
Explore bacterial evolution in complex environments, uncovering adaptive strategies and genetic mechanisms shaping microbial populations over time.
Analyze phenotypic constraints in laboratory evolution to predict and control microbial evolution, focusing on research from the University of Tokyo.
Explore phylogeny and function inference using diverse sequence spaces, led by Alessandra Carbone from CNRS and Sorbonne Université.
Explorez l'évolution de la virulence chez Escherichia coli, une bactérie commensale, et ses implications pour la santé humaine et la microbiologie.
Explore genetic diversity within species, examining key processes and mechanisms driving variation in populations.
Explore cutting-edge techniques for estimating large-scale species trees, addressing gene duplication and loss challenges in phylogenetics.
Explore bias-variance theory in protein genotype-to-phenotype mapping, focusing on global inference and local prediction techniques.
Explore Bayesian phylogeography techniques for analyzing species distribution patterns using continuous spatial models and random walk sampling methods.
Explore tree-free phylodynamic methods for analyzing emerging viral pathogens and lineages, focusing on innovative approaches to study viral evolution and spread.
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