| Literature DB >> 30025013 |
Ben N Mansfeld, Rebecca Grumet.
Abstract
Next-Generation Sequencing Bulk Segregant Analysis (NGS-BSA) is efficient in detecting quantitative trait loci (QTL). Despite the popularity of NGS-BSA and the R statistical platform, no R packages are currently available for NGS-BSA. We present QTLseqr, an R package for NGS-BSA that identifies QTL using two statistical approaches: QTL-seq and G'. These approaches use a simulation method and a tricube smoothed G statistic, respectively, to identify and assess statistical significance of QTL. QTLseqr can import and filter SNP data, calculate SNP distributions, relative allele frequencies, G' values, and log (-values), enabling identification and plotting of QTL. The source code is available at .Mesh:
Year: 2018 PMID: 30025013 DOI: 10.3835/plantgenome2018.01.0006
Source DB: PubMed Journal: Plant Genome ISSN: 1940-3372 Impact factor: 4.089