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Toolkit for the analysis of multi-state QTL data

Bioconductor version: Release (3.19)

A collection of tools for doing various analyses of multi-state QTL data, with a focus on visualization and interpretation. The package 'multistateQTL' contains functions which can remove or impute missing data, identify significant associations, as well as categorise features into global, multi-state or unique. The analysis results are stored in a 'QTLExperiment' object, which is based on the 'SummarisedExperiment' framework.

Author: Christina Del Azodi [aut], Davis McCarthy [ctb], Amelia Dunstone [cre, ctb]

Maintainer: Amelia Dunstone <amelia.dunstone at>

Citation (from within R, enter citation("multistateQTL")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

multistateQTL: Orchestrating multi-state QTL analysis in R HTML R Script
Reference Manual PDF


biocViews FunctionalGenomics, GeneExpression, SNP, Sequencing, Software, Visualization
Version 1.0.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
License GPL-3
Depends QTLExperiment, SummarizedExperiment, ComplexHeatmap, data.table, collapse
Imports methods, S4Vectors, grid, dplyr, tidyr, matrixStats, stats, fitdistrplus, viridis, ggplot2, circlize, mashr, grDevices
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Suggests testthat, BiocStyle, knitr, covr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package multistateQTL_1.0.0.tar.gz
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macOS Binary (x86_64) multistateQTL_1.0.0.tgz
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Source Repository (Developer Access) git clone
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