Inference in population genetics using forward and backward, discrete and continuous time processes

DOI10.1016/j.jtbi.2017.12.008zbMath1397.92449OpenAlexW2771578193WikidataQ47579898 ScholiaQ47579898MaRDI QIDQ1752523

Claus Vogl, Juraj Bergman, Carolin Kosiol, Dominik Schrempf

Publication date: 24 May 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10023/16653

zbMATH Keywords

Markov chainexact inferenceforward-backward algorithmforward-backward diffusionbi-allelic mutation-drift model

Mathematics Subject Classification ID

Problems related to evolution (92D15) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Genetics and epigenetics (92D10) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

Related Items (1)

A nearly-neutral biallelic Moran model with biased mutation and linear and quadratic selection

Uses Software

• fastDNAml
• IQ-TREE
• SpectralTDF

Cites Work

• Inference of directional selection and mutation parameters assuming equilibrium
• Reversible polymorphism-aware phylogenetic models and their application to tree inference
• An explicit transition density expansion for a multi-allelic Wright-Fisher diffusion with general diploid selection
• A coalescent dual process in a Moran model with genic selection
• Non-equilibrium theory of the allele frequency spectrum
• A note on the sampling theory for infinite alleles and infinite sites models
• On the number of segregating sites in genetical models without recombination
• Mathematical population genetics. I: Theoretical introduction.
• Singular solutions of the diffusion equation of population genetics
• A novel spectral method for inferring general diploid selection from time series genetic data
• Comparison and content of the Wright-Fisher model of random genetic drift, the diffusion approximation, and an intermediate model
• Estimating the scaled mutation rate and mutation bias with site frequency data
• Biological Sequence Analysis
• SOLUTION OF A PROCESS OF RANDOM GENETIC DRIFT WITH A CONTINUOUS MODEL
• Analytical results on the neutral non-equilibrium allele frequency spectrum based on diffusion theory
• Non-equilibrium allele frequency spectra via spectral methods
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Inference in population genetics using forward and backward, discrete and continuous time processes