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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.
Explore foundations for large-scale comparative genomics, focusing on techniques and challenges in analyzing vast genomic datasets across species.
Explore ABC phylodynamics with Samuel Alizon, delving into advanced techniques for analyzing evolutionary dynamics of pathogens using phylogenetic data.
Explore protein sequence space and its implications for evolution, structure, and function with insights from statistical physics and machine learning.
Explore shifts in E. coli's mutational biases and their impact on beneficial mutations, enhancing understanding of bacterial evolution and adaptation.
Explore protein physics and population genetics to grasp evolution's multifaceted nature and combat drug resistance through integrated computational approaches.
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