Mathematical stochastic models for DNA

Abstract

Kimura’s neutral theory of molecular evolution gave rise to several models by which to study genetic data. Such models include the infinite alleles model and the infinite sites model. We studied these models, and present them here in an clear and algorithmic style. We coded these models in Python, using Monte Carlo methods to calculate probabilities and perform tests of hypothesis against real-world data.