Related Experiment Video
Updated: Dec 25, 2025

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
Published on: July 3, 2016
Asymptotic profile in selection-mutation equations: Gauss versus Cauchy distributions
Àngel Calsina1, Sílvia Cuadrado1, Laurent Desvillettes2
1Departament de Matemàtiques, Universitat Autònoma de Barcelona, 08193 Bellaterra Barcelona, Spain.
Abstract:
In this paper, we study the asymptotic (large time) behaviour of a selection-mutation-competition model for a population structured with respect to a phenotypic trait when the rate of mutation is very small. We assume that the reproduction is asexual, and that the mutations can be described by a linear integral operator. We are interested in the interplay between the time variable t and the rate ε of mutations. We show that depending on , the limit with can lead to population number densities which are either Gaussian-like (when α is small) or Cauchy-like (when α is large).
More Related Videos
Related Concept Videos
Hardy-Weinberg Principle
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Mutation, Gene Flow, and Genetic Drift
Frequency-dependent Selection
Expected Frequencies in Goodness-of-Fit Tests
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

