GeneticsGeneticsPeer-reviewed journal article
R/qtlcharts: interactive graphics for quantitative trait locus mapping
Abstract
Every data visualization can be improved with some level of interactivity. Interactive graphics hold particular promise for the exploration of high-dimensional data. R/qtlcharts is an R package to create interactive graphics for experiments to map quantitative trait loci (QTL; genetic loci that influence quantitative traits). R/qtlcharts serves as a companion to the R/qtl package, providing interactive versions of R/qtls static graphs, as well as additional interactive graphs for the exploration of high-dimensional genotype and phenotype data.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- R/qtl2: software for mapping quantitative trait loci with high dimensional data and multi-parent populations
Karl W. Broman, Daniel M. Gatti, … Gary A. Churchill·GeneticsPeer-reviewed·Dec 27, 2018
- QTLIT: A user-friendly Shiny app for Quantitative Trait Loci (QTL) analysis
Tapan Kumar Mondal, Abhijeet Roy, … Abhishek Mazumder·bioRxiv·Dec 23, 2025
- eQTpLot: a user-friendly R package for the visualization and colocalization of eQTL and GWAS signals
Theodore G. Drivas, Anastasia Lucas, Marylyn DeRiggi Ritchie·BioData MiningPeer-reviewed·Jul 17, 2021
- vqtl: An R package for Mean-Variance QTL Mapping
Robert W. Corty, William S. J. Valdar·G3 Genes Genomes GeneticsPeer-reviewed·Nov 2, 2018
- Fast and efficient QTL mapper for thousands of molecular phenotypes
Halit Ongen, Alfonso Buil, … Olivier Delaneau·bioRxiv·Aug 7, 2015
- Orchestrating multi-state QTL analysis with Bioconductor
Christina Brady Del Azodi, Amelia M Dunstone, Davis James McCarthy·BMC BioinformaticsPeer-reviewed·Jun 3, 2026