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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gscramble to link to this page.
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