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An R Framework for the Partitioning of Linkage Disequilibrium between and Within Populations Cover

An R Framework for the Partitioning of Linkage Disequilibrium between and Within Populations

Open Access
|Apr 2019

Figures & Tables

Figure 1

The dstat function calculates Ohta’s D statistics for two specified loci.

Figure 2

Given a single matrix of genotypes, dwrapper will produce a matrix for each of Ohta’s D statistics with pairwise comparisons of each locus. Dheatmap will produce a colorized map for visualization of the values in a matrix.

Figure 3

The dparallel workflow. Specific files associated with the general steps are in italics to the right of the diagram. 1) A bash script initializes a specified number of R processes, each of which executes the dparallel function on the specified dataset. 2) Each dparallel process infers a unique set of locus pairs for which to compute Ohta’s D statistics. 3) Each R process calls dstat on each row (pair of loci) in its unique set. 4) Results are returned in csv files.

DOI: https://doi.org/10.5334/jors.250 | Journal eISSN: 2049-9647
Language: English
Submitted on: Oct 24, 2018
Accepted on: Apr 2, 2019
Published on: Apr 30, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Paul F. Petrowski, Elizabeth G. King, Timothy M. Beissinger, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.