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multistateQTL

This is thereleased version of multistateQTL; for the devel version, seemultistateQTL.

Toolkit for the analysis of multi-state QTL data

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DOI: 10.18129/B9.bioc.multistateQTL


Bioconductor version: Release (3.22)

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, 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 appropriateBioconductor 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 RHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsFunctionalGenomics,GeneExpression,SNP,Sequencing,Software,Visualization
Version2.2.0
In Bioconductor sinceBioC 3.19 (R-4.4) (1.5 years)
LicenseGPL-3
DependsQTLExperiment,SummarizedExperiment,ComplexHeatmap,collapse
Importsmethods,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
Suggeststestthat,BiocStyle,knitr,covr,rmarkdown
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagemultistateQTL_2.2.0.tar.gz
Windows Binary (x86_64) multistateQTL_2.2.0.zip (64-bit only)
macOS Binary (x86_64)multistateQTL_2.2.0.tgz
macOS Binary (arm64)multistateQTL_2.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/multistateQTL
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/multistateQTL
Bioc Package Browserhttps://code.bioconductor.org/browse/multistateQTL/
Package Short Urlhttps://bioconductor.org/packages/multistateQTL/
Package Downloads ReportDownload Stats

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