Package: multistateQTL 2.5.0

Amelia Dunstone

multistateQTL: Toolkit for the analysis of multi-state QTL data

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.

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

multistateQTL_2.5.0.tar.gz
multistateQTL_2.5.0.zip(r-4.7)multistateQTL_2.5.0.zip(r-4.6)multistateQTL_2.5.0.zip(r-4.5)
multistateQTL_2.5.0.tgz(r-4.6-any)multistateQTL_2.5.0.tgz(r-4.5-any)
multistateQTL_2.5.0.tar.gz(r-4.7-any)multistateQTL_2.5.0.tar.gz(r-4.6-any)
multistateQTL_2.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
multistateQTL/json (API)
NEWS

# Install 'multistateQTL' in R:
install.packages('multistateQTL', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dunstone-a/multistateqtl/issues

On BioConductor:multistateQTL-2.5.0(bioc 3.24)multistateQTL-2.4.0(bioc 3.23)

functionalgenomicsgeneexpressionsequencingvisualizationsnpsoftware

4.93 score 2 stars 17 scripts 264 downloads 19 exports 94 dependencies

Last updated from:1070219c1d. Checks:6 NOTE, 2 ERROR, 2 OK. Indexed: yes.

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bioc-checksNOTE195
linux-devel-x86_64ERROR374
source / vignettesOK253
linux-release-x86_64NOTE450
macos-release-arm64NOTE227
macos-oldrel-arm64NOTE237
windows-develERROR252
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windows-oldrelNOTE185
wasm-releaseOK142

Exports:callSignificancecallSignificance<-getCompletegetSignificantgetTopHitsplotCompareStatesplotPairwiseSharingplotQTLClustersplotSimulationParamsplotUpSetqtleEstimateqtleParamsqtleParams2qtleSimulatereplaceNAsrunPairwiseSharingrunSignificantFeaturesrunTestMetricssimPerformance

Dependencies:abindashrassertthatbackportsBiobaseBiocGenericsbitbit64checkmatecirclizecliclueclustercodetoolscollapsecolorspaceComplexHeatmapcpp11crayondata.tableDelayedArraydigestdoParalleldplyretrunctfarverfitdistrplusforeachgenericsGenomicRangesGetoptLongggplot2GlobalOptionsgluegridExtragtablehmsinvgammaIRangesirlbaisobanditeratorslabelinglatticelifecyclemagrittrmashrMASSMatrixMatrixGenericsmatrixStatsmixsqpmvtnormpillarpkgconfigplyrpngprettyunitsprogresspurrrQTLExperimentR6RColorBrewerRcppRcppArmadilloRcppGSLrjsonrlangrmetaS4ArraysS4VectorsS7scalesSeqinfoshapesoftImputeSparseArraySQUAREMstringistringrSummarizedExperimentsurvivaltibbletidyrtidyselecttruncnormtzdbutf8vctrsviridisviridisLitevroomwithrXVector

multistateQTL: Orchestrating multi-state QTL analysis in R

Christina B Azodi, Davis McCarthy, Amelia Dunstone

Rendered frommultistateQTL.Rmdusingknitr::rmarkdownon Jun 05 2026.

Last update: 2025-03-17
Started: 2025-03-11