Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR

• Published in: Bioinformatics (Oxford, England) Vol. 37; no. 21; pp. 3822 - 3829
• Main Authors: Bourke, Peter M, Voorrips, Roeland E, Hackett, Christine A, van Geest, Geert, Willemsen, Johan H, Arens, Paul, Smulders, Marinus J M, Visser, Richard G F, Maliepaard, Chris
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 05.11.2021
• Subjects: Chromosome Mapping; Humans; Likelihood Functions; Original Papers; Polyploidy; Quantitative Trait Loci; Software

Abstract Motivation The investigation of quantitative trait loci (QTL) is an essential component in our understanding of how organisms vary phenotypically. However, many important crop species are polyploid (carrying more than two copies of each chromosome), requiring specialized tools for such anal...