SpectralTDF
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionTransition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes
Homepagehttps://sourceforge.net/projects/spectraltdf/
Publications
SpectralTDF: transition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes
Matthias Steinrücken; Ethan M. Jewett; Yun S. Song
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.
Metrics:
1
Canned Analyses generated by the tool
There are no indexed analyses by this tool at the moment.
Datasets analyzed by the tool
There are no indexed analyses by this tool at the moment.
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.