snpAIMeR: R package for evaluating ancestry informative marker contributions in non-model population diagnostics

Author:

Vertacnik Kim L1ORCID,Vernygora Oksana V1ORCID,Dupuis Julian R1ORCID

Affiliation:

1. Department of Entomology, University of Kentucky , Lexington, KY 40546, United States

Abstract

Abstract Motivation Single nucleotide polymorphism (SNP) markers are increasingly popular for population genomics and inferring ancestry for individuals of unknown origin. Because large SNP datasets are impractical for rapid and routine analysis, diagnostics rely on panels of highly informative markers. Strategies exist for selecting these markers, however, resources for efficiently evaluating their performance are limited for non-model systems. Results snpAIMeR is a user-friendly R package that evaluates the efficacy of genomic markers for the cluster assignment of unknown individuals. It is intended to help minimize panel size and genotyping effort by determining the informativeness of candidate diagnostic markers. Provided genotype data from individuals of known origin, it uses leave-one-out cross-validation to determine population assignment rates for individual markers and marker combinations. Availability and implementation snpAIMeR is available on CRAN (https://CRAN.R-project.org/package=snpAIMeR).

Funder

United States Department of Agriculture

National Institute of Food and Agriculture

Agriculture and Food Research Initiative

Animal and Plant Health Inspection Service

Plant Protection Act

Publisher

Oxford University Press (OUP)

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