Statistical Physics of Biological Evolution
Joachim Krug
TL;DR
This paper reviews the application of statistical physics principles to understand biological evolution, highlighting models and methods that reveal the underlying dynamics of evolutionary processes.
Contribution
It provides a comprehensive overview of how statistical physics approaches can be used to analyze biological evolution, integrating theoretical models with empirical observations.
Findings
Identification of key statistical models for evolution
Insights into phase transitions in evolutionary dynamics
Frameworks for analyzing genetic diversity
Abstract
This is an extended abstract of lectures delivered at the 4th Warsaw Summer School on Statistical Physics in Kazimierz Dolny, June 25-July 2, 2011.
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Taxonomy
TopicsEvolution and Genetic Dynamics · Evolutionary Game Theory and Cooperation · Bioinformatics and Genomic Networks