multistateQTL
Toolkit for the analysis of multi-state QTL data
Bioconductor version: 3.24 · Package version: 2.5.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("multistateQTL")Details
| Maintainer | Amelia Dunstone <amelia.dunstone@svi.edu.au> |
| Author | Christina Del Azodi [aut], Davis McCarthy [ctb], Amelia Dunstone [cre, aut] (ORCID: <https://orcid.org/0009-0009-6426-1529>) |
| License | GPL-3 |
| URL | https://github.com/dunstone-a/multistateQTL |
| Bug Reports | https://github.com/dunstone-a/multistateQTL/issues |
| Downloads rank | 314 |
| Source branch | devel |
| biocViews | FunctionalGenomics, GeneExpression, SNP, Sequencing, Software, Visualization |
Documentation
Download
Follow the 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 (arm64) | multistateQTL_2.5.0.tgz |
| macOS binary (x86_64) | multistateQTL_2.5.0.tgz |
Dependencies
Depends: QTLExperiment, SummarizedExperiment, ComplexHeatmap, collapse
Imports: methods, S4Vectors, data.table, grid, dplyr, tidyr, matrixStats, stats, fitdistrplus, viridis, ggplot2, circlize, mashr, grDevices