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)