SpectralTDF: transition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes | Zendy

Matthias Steinrücken | Zendy; Ethan M. Jewett | Zendy; Yun S. Song | Zendy

Open Access

SpectralTDF: transition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes

Author(s) -

Matthias Steinrücken,

Ethan M. Jewett,

Yun S. Song

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv627

Subject(s) - selection (genetic algorithm) , piecewise , mutation , population , function (biology) , diffusion , representation (politics) , constant (computer programming) , effective population size , population size , computer science , mathematics , statistics , biology , genetics , artificial intelligence , physics , demography , genetic variation , mathematical analysis , sociology , politics , political science , law , gene , programming language , thermodynamics

In the Wright-Fisher diffusion, the transition density function describes the time evolution of the population-wide frequency of an allele. This function has several practical applications in population genetics and computing it for biologically realistic scenarios with selection and demography is an important problem.

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