gscramble: Simulating Admixed Genotypes Without Replacement (original) (raw)
A genomic simulation approach for creating biologically informed individual genotypes from empirical data that 1) samples alleles from populations without replacement, 2) segregates alleles based on species-specific recombination rates. 'gscramble' is a flexible simulation approach that allows users to create pedigrees of varying complexity in order to simulate admixed genotypes. Furthermore, it allows users to track haplotype blocks from the source populations through the pedigrees.
| Version: | 1.0.1 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, ggplot2, glue, magrittr, purrr, readr, rlang, stats, stringr, tibble, tidyr |
| Suggests: | cowplot, knitr, rmarkdown, tidyverse |
| Published: | 2024-02-28 |
| DOI: | 10.32614/CRAN.package.gscramble |
| Author: | Eric C. Anderson  [aut, cre], Rachael M. Giglio [aut], Matt G. DeSaix [aut], Timothy J. Smyser [aut] |
| Maintainer: | Eric C. Anderson <eric.anderson at noaa.gov> |
| BugReports: | https://github.com/eriqande/gscramble/issues |
| License: | CC0 |
| URL: | https://github.com/eriqande/gscramble |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | gscramble results |
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