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BREADR

The goal of BREADR is to provide an easy-to-use method for estimating degrees of relatedness (up to the second degree) for extremely low-coverage data. BREADR also allows users to quantify and visualise the level of confidence in the estimated degrees of relatedness.

The method requires Eigenstrat files (an ind, geno and snp file) to begin, allowing the user to account for DNA deamination when genotyping their data.

Further information can be found at the BREADR website.

Installation

To install, you can use the usual

install.packages("BREADR")

You can install the development version of BREADR from GitHub with:

# install.packages("remotes")
remotes::install_github("jonotuke/BREADR")

Also to ensure that BREADR install correctly, we suggest installing the following packages

  • Matrix,
  • data.table,
  • dplyr,
  • forcats,
  • ggplot2,
  • ggpubr,
  • grDevices,
  • magrittr,
  • MASS,
  • matrixStats,
  • purrr,
  • readr,
  • stringr and
  • tibble.

Contributing to BREADR

Please note that BREADR is work in progress! If you are interested in the project and want to know more please feel free to contact Jono Tuke (simon.tuke@adelaide.edu.au). If you find a bug or would like to see new or improved features, please open an issue on the GitHub repository.

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Version

Install

install.packages('BREADR')

Monthly Downloads

216

Version

1.0.3

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Jonathan Tuke

Last Published

April 14th, 2025

Functions in BREADR (1.0.3)

test_degree

test_degree
processEigenstrat

process Eigenstrat data - alternative version
%>%

Pipe operator
read_ind

read_ind
read_snp

read_snp
processEigenstrat_old

process Eigenstrat data
get_column_new

get column
callRelatedness

callRelatedness
plotSLICE

plotSLICE
sim_geno

sim_geno
plotLOAF

plotLOAF
split_line

split line
saveSLICES

saveSLICES
counts_example

counts_example
relatedness_example

relatedness_example