@inproceedings{bc43777fea6344c6a0e23d31938e9269,
title = "Can evolutionary rate matrices be estimated from allele frequencies?",
abstract = "This paper is a work in progress in which aims to combine the principles of population genetics and continuous-time Markovian evolutionary models to estimate evolutionary rate matrices from the current observed state of a single genome. A model is proposed in which sections of the genome which are not susceptible to natural selection are considered to be a statistical ensemble of individual genomic sites. Each site is a representative from a stationary distribution of allele frequencies 0 < 8 < 1 within the population. Simulations of this distribution via a finite-state Markov model based on a finite effective population size are compared with the stationary solution to the continuum Fokker-Planck equation. Parameters of the evolutionary rate matrix introduced via mutation rates within the Fokker-Planck equation are estimated for simulated data in a number of exploratory examples.",
keywords = "Evolutionary rate, Fokker-Plank equation, Wright-fisher model",
author = "Burden, {Conrad J.}",
year = "2015",
doi = "10.5220/0005253701830188",
language = "English",
series = "BIOINFORMATICS 2015 - 6th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015",
publisher = "SciTePress",
pages = "183--188",
editor = "Oscar Pastor and Christine Sinoquet and Ana Fred and Hugo Gamboa and Dirk Elias",
booktitle = "BIOINFORMATICS 2015 - 6th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015",
note = "6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2015 ; Conference date: 12-01-2015 Through 15-01-2015",
}