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SpectralTDF: transition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes.
Steinrücken, Matthias; Jewett, Ethan M; Song, Yun S.
Affiliation
  • Steinrücken M; Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003, USA.
  • Jewett EM; Department of Statistics.
  • Song YS; Department of Statistics, Department of EECS, Department of Integrative Biology, University of California, Berkeley, CA 94720, USA, Department of Mathematics and Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Bioinformatics ; 32(5): 795-7, 2016 03 01.
Article in En | MEDLINE | ID: mdl-26556388
ABSTRACT
MOTIVATION 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.

RESULTS:

We develop an efficient method for finding a spectral representation of the transition density function for a general model where the effective population size, selection coefficients and mutation parameters vary over time in a piecewise constant manner. AVAILABILITY AND IMPLEMENTATION The method, called SpectralTDF, is available at https//sourceforge.net/projects/spectraltdf/ CONTACT yss@berkeley.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mutation Rate Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mutation Rate Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Document type: Article Affiliation country: United States