
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.

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 Bayesian phylogeography techniques for analyzing species distribution patterns using continuous spatial models and random walk sampling methods.

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 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.

Explore how inferred epistasis improves neutral models of sequence evolution, enhancing understanding of evolutionary processes.

Explore ecological chaos and its impact on intra-species diversity evolution, delving into complex interactions shaping biodiversity within populations.

Explore metabolic fitness landscapes and their role in predicting antibiotic resistance evolution, presented by Fernanda Pinheiro from the University of Cologne.

Explore eco-evolutionary dynamics and frequency-dependent selection in host-parasite systems, focusing on hyper-diversity and its implications.

Explore molecular evolution control mechanisms and their impact on genetic diversity and adaptation in populations.

Explore how integrated phenotypic networks give rise to simple fitness landscapes, reconciling long-term trajectories and mutant fitness data.

Explore the evolutionary dynamics of CRISPR immunity, focusing on coevolution and competition as key drivers of diversification in microbial defense systems.

Explore demographic and evolutionary responses to stochastic environments, examining population dynamics and adaptation in unpredictable conditions.

Explore population genetics in rapid adaptation and influenza virus evolution, focusing on key concepts and recent research findings.

Explore models and data on within-host ecological evolution, focusing on the interplay between theoretical frameworks and empirical findings.