glads-package: Genomic Landscape of Divergence Simulation
In eriqande/glads: Genomic Landscape of Divergence Simulation
glads-package R Documentation
Genomic Landscape of Divergence Simulation
Description
The package glads is an individual-based framework for forward demographic, genetic and genomic simulations.
The main aim of the R package is to simulate the divergence of populations further in time, elucidating genomic patterns that may be generated by a range of demographic and genetic processes.
Details
The list of functions can be displayed with library(help = glads).
The main function of the package glads is "evolve", which allows the forward simulation of the genetic structure of populations under various scenarios of drift and selection.
The supported data are allelic frequencies, SNPs or sequences of DNA.
User may either simulate a theoretical dataset or directly work with their own empirical observations.
In any case, the observation should be arranged in a two-dimensional array that represents a pair of homologous chromosomes. Each element of the array is an integer defining the copy of a given allele at a given locus.
eriqande/glads documentation built on Jan. 26, 2024, 9:25 p.m.
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| glads-package | R Documentation |
Genomic Landscape of Divergence Simulation
Description
The package glads is an individual-based framework for forward demographic, genetic and genomic simulations. The main aim of the R package is to simulate the divergence of populations further in time, elucidating genomic patterns that may be generated by a range of demographic and genetic processes.
Details
The list of functions can be displayed with library(help = glads).
The main function of the package glads is "evolve", which allows the forward simulation of the genetic structure of populations under various scenarios of drift and selection.
The supported data are allelic frequencies, SNPs or sequences of DNA.
User may either simulate a theoretical dataset or directly work with their own empirical observations.
In any case, the observation should be arranged in a two-dimensional array that represents a pair of homologous chromosomes. Each element of the array is an integer defining the copy of a given allele at a given locus.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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