This is the released version of multistateQTL; for the devel version, see multistateQTL.
Toolkit for the analysis of multi-state QTL dataBioconductor version: Release (3.21)
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: 0009-0009-6426-1529
Maintainer: Amelia Dunstone <amelia.dunstone at svi.edu.au>
Citation (from within R, entercitation("multistateQTL")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("multistateQTL")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo 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 Manual PDF NEWS Text Details biocViews FunctionalGenomics, GeneExpression, SNP, Sequencing, Software, Visualization Version 2.0.0 In Bioconductor since BioC 3.19 (R-4.4) (1 year) License GPL-3 Depends QTLExperiment, SummarizedExperiment, ComplexHeatmap, data.table, collapse Imports methods, S4Vectors, grid, dplyr, tidyr, matrixStats, stats, fitdistrplus, viridis, ggplot2, circlize, mashr, grDevices System Requirements URL https://github.com/dunstone-a/multistateQTL Bug Reports https://github.com/dunstone-a/multistateQTL/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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