nQuack: An R package for predicting ploidal level from sequence data using site‐based heterozygosity

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Authors

Michelle L. Gaynor · Florida Museum of Natural History

Jacob B. Landis · Cornell University

Timothy K. O’Connor · University of Chicago

Robert G. Laport · College of Idaho

Jeff J. Doyle · Cornell University

Douglas E. Soltis · Florida Museum of Natural History

José Miguel Ponciano

Abstract

Inferring ploidy based on site-based heterozygosity alone is difficult. Even though nQuack is more accurate than similar methods, we suggest caution when relying on any site-based heterozygosity method to infer ploidy.

Topics & Keywords

Genetic diversity and population structure Evolution and Genetic Dynamics Genetic Mapping and Diversity in Plants and Animals

Publication Details

Published in: Applications in Plant Sciences

Volume 12, Issue 4, pp. e11606-e11606

DOI: 10.1002/aps3.11606

Field-Weighted Citation Impact: 8.19

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nQuack: An R package for predicting ploidal level from sequence data using site‐based heterozygosity

Authors

Abstract

Topics & Keywords

Publication Details