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multistateQTL

This is the development version of multistateQTL; for the stable release version, see multistateQTL.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19

Toolkit for the analysis of multi-state QTL data


Bioconductor version: Development (3.24)

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, aut] ORCID iD ORCID: 0009-0009-6426-1529

Maintainer: Amelia Dunstone <amelia.dunstone at svi.edu.au>

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 2.5.0, https://bioconductor.org/packages/multistateQTL.

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

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("multistateQTL")

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

Documentation

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

browseVignettes("multistateQTL")
multistateQTL: Orchestrating multi-state QTL analysis in R HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews FunctionalGenomics, GeneExpression, SNP, Sequencing, Software, Visualization
Version2.5.0
In Bioconductor sinceBioC 3.19 (R-4.4) (2.5 years)
License GPL-3
Depends QTLExperiment, SummarizedExperiment, ComplexHeatmap, collapse
Imports methods, S4Vectors, data.table, grid, dplyr, tidyr, matrixStats, stats, fitdistrplus, viridis, ggplot2, circlize, mashr, grDevices
System Requirements
URLhttps://github.com/dunstone-a/multistateQTL
Bug Reportshttps://github.com/dunstone-a/multistateQTL/issues
See More
Suggests testthat, BiocStyle, knitr, covr, rmarkdown
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package multistateQTL_2.5.0.tar.gz
Windows Binary (x86_64) multistateQTL_2.5.0.zip
macOS Binary (big-sur-x86_64) multistateQTL_2.5.0.tgz
macOS Binary (sonoma-arm64) multistateQTL_2.5.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/multistateQTL
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/multistateQTL
Package Short Url https://bioconductor.org/packages/multistateQTL/
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