Literature DB >> 30025013

QTLseqr: An R Package for Bulk Segregant Analysis with Next-Generation Sequencing.

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 .
Copyright © 2018 Crop Science Society of America.

Mesh:

Year:  2018        PMID: 30025013     DOI: 10.3835/plantgenome2018.01.0006

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  45 in total

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