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multistateQTL

Toolkit for the analysis of multi-state QTL data

Bioconductor version: 3.23 · Package version: 2.4.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.multistateQTL

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("multistateQTL")

Details

MaintainerAmelia Dunstone <amelia.dunstone@svi.edu.au>
AuthorChristina Del Azodi [aut], Davis McCarthy [ctb], Amelia Dunstone [cre, aut] (ORCID: <https://orcid.org/0009-0009-6426-1529>)
LicenseGPL-3
URLhttps://github.com/dunstone-a/multistateQTL
Bug Reportshttps://github.com/dunstone-a/multistateQTL/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsFunctionalGenomics, GeneExpression, SNP, Sequencing, Software, Visualization
Package Short Url https://bioconductor.org/packages/multistateQTL/

Citation

From within R, enter citation("multistateQTL"):

Christina Del Azodi, Amelia Dunstone. multistateQTL: Toolkit for the analysis of multi-state QTL data. doi:10.18129/B9.bioc.multistateQTL, R package version 2.4.0, https://bioconductor.org/packages/multistateQTL.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemultistateQTL_2.4.0.tar.gz
Windows binary (x86_64)multistateQTL_2.4.0.zip
macOS binary (arm64)multistateQTL_2.4.0.tgz
macOS binary (x86_64)multistateQTL_2.4.0.tgz
Dependencies

Depends: QTLExperiment, SummarizedExperiment, ComplexHeatmap, collapse

Imports: methods, S4Vectors, data.table, grid, dplyr, tidyr, matrixStats, stats, fitdistrplus, viridis, ggplot2, circlize, mashr, grDevices

Suggests: testthat, BiocStyle, knitr, covr, rmarkdown