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genepopedit: a simple and flexible tool for manipulating multilocus molecular data in R.

Ryan R E Stanley1,2, Nicholas W Jeffery3, Brendan F Wringe1,3

  • 1Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.

Molecular Ecology Resources
|July 20, 2016
PubMed
Summary

Researchers can now easily manage large genomic datasets with genepopedit, a new R package. This tool simplifies data manipulation and conversion for population genetics analyses, even with millions of single nucleotide polymorphisms (SNPs).

Keywords:
R statisticsconservation geneticsdata conversiondata manipulationloci selectionpopulation genetics

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Area of Science:

  • Genomics
  • Bioinformatics
  • Population Genetics

Background:

  • Genetic sequencing advances generate large, complex genome-wide datasets.
  • Handling these large datasets poses computational challenges for researchers.
  • Existing tools may not efficiently manage multilocus molecular data for nonmodel organisms.

Purpose of the Study:

  • To develop a flexible tool for manipulating multilocus molecular datasets.
  • To address computational challenges in processing large genomic data.
  • To facilitate population structure and demographic analyses.

Main Methods:

  • Developed genepopedit as an R package.
  • Included diagnostic, manipulation, sampling, simulation, and transformation tools.
  • Enabled efficient metadata extraction and data conversion to various software formats.

Main Results:

  • genepopedit efficiently handles large genomic datasets, including those exceeding 200,000 SNPs.
  • The tool simplifies manipulation of loci, individual samples, and populations.
  • It integrates seamlessly into existing R-based analysis workflows.

Conclusions:

  • genepopedit offers a robust, code-based solution for repeatable genomic data manipulation.
  • The package enhances the analysis of population structure and demographic processes.
  • It supports researchers working with large-scale genomic data from nonmodel organisms.