
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 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 HIV-1 evolution through a groundbreaking three-year passaging experiment, uncovering key insights into viral adaptation and persistence.

Explore physical constraints on epistasis in biological systems, examining how interactions between genes influence evolutionary outcomes and phenotypic expression.

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 bottom-up approaches to constructing microbial communities, examining assembly processes and interactions that shape complex ecosystems.

Explore the relationship between structure and function in microbial communities through a sparse mapping approach, uncovering key insights into complex ecological systems.

Explore ecological interactions, examining disorder and order in natural systems to gain insights into complex ecosystem dynamics.