Streamline Population Genomic and Genetic Analyses

Estimate commonly used population genomic statistics and generate publication quality figures. 'PopGenHelpR' uses vcf, 'geno' (012), and csv files to generate output.


PopGenHelpR version 1.4.2

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What is PopGenHelpR?

PopGenHelpR is an R package designed to estimate commonly used population genomic statistics and to generate publication quality figures. The current version of PopGenHelpR uses vcf, geno (012), and csv files to generate output, however, future implementations will expand the input file type options. Please see the vignette and other articles for examples.

We plan to continue developing the package to include more functions, feel free to reach out to Keaka Farleigh if you have any suggestions or would like to collaborate.

Do you use PopGenHelpR in your research or class and want to be kept up to date?

Please email Keaka Farleigh ([email protected]) to be informed about any updates or pending changes to PopGenHelpR.

Installation

You can install PopGenHelpR using:

install.packages("PopGenHelpR")

You can install the development version of PopGenHelpR using devtools:

devtools::install_github("kfarleigh/PopGenHelpR")

Citing resources used by PopGenHelpR

PopGenHelpR leverages previously developed code resources to perform some calculations in the Heterozygosity and Differentiation functions. Please see the details regarding references for the functions to ensure that you are citing everyone appropriately.

Reference manual

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install.packages("PopGenHelpR")

1.4.2 by Keaka Farleigh, 9 months ago


https://kfarleigh.github.io/PopGenHelpR/


Report a bug at https://github.com/kfarleigh/PopGenHelpR/issues


Browse source code at https://github.com/cran/PopGenHelpR


Authors: Keaka Farleigh [aut, cph, cre] (ORCID: , Mason Murphy [aut, cph, ctb] (ORCID: , Christopher Blair [aut, cph, ctb] (ORCID: , Tereza Jezkova [aut, cph, ctb] (ORCID:


Documentation:   PDF Manual  


GPL (>= 3) license


Imports dplyr, ggplot2, magrittr, methods, reshape2, rlang, scatterpie, stats, geodata, terra, ggspatial, spdep, sf, utils, vcfR

Suggests knitr, rmarkdown, testthat


See at CRAN