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midasHLA

This is thereleased version of midasHLA; for the devel version, seemidasHLA.

R package for immunogenomics data handling and association analysis

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DOI: 10.18129/B9.bioc.midasHLA


Bioconductor version: Release (3.22)

MiDAS is a R package for immunogenetics data transformation and statistical analysis. MiDAS accepts input data in the form of HLA alleles and KIR types, and can transform it into biologically meaningful variables, enabling HLA amino acid fine mapping, analyses of HLA evolutionary divergence, KIR gene presence, as well as validated HLA-KIR interactions. Further, it allows comprehensive statistical association analysis workflows with phenotypes of diverse measurement scales. MiDAS closes a gap between the inference of immunogenetic variation and its efficient utilization to make relevant discoveries related to T cell, Natural Killer cell, and disease biology.

Author: Christian Hammer [aut], Maciej Migdał [aut, cre]

Maintainer: Maciej Migdał <mcjmigdal at gmail.com>

Citation (from within R, entercitation("midasHLA")):

Installation

To install this package, start R (version "4.5") and enter:

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

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("midasHLA")
MiDAS quick startHTMLR Script
MiDAS tutorialHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCellBiology,Genetics,Software,StatisticalMethod
Version1.18.0
In Bioconductor sinceBioC 3.13 (R-4.1) (4.5 years)
LicenseMIT + file LICENCE
DependsR (>= 4.1),MultiAssayExperiment(>= 1.8.3)
Importsassertthat (>= 0.2.0),broom (>= 0.5.1),dplyr (>= 0.8.0.1),formattable (>= 0.2.0.1),HardyWeinberg (>= 1.6.3),kableExtra (>= 1.1.0),knitr (>= 1.21),magrittr (>= 1.5), methods,stringi (>= 1.2.4),rlang (>= 0.3.1),S4Vectors(>= 0.20.1), stats,SummarizedExperiment(>= 1.12.0),tibble (>= 2.0.1), utils,qdapTools (>= 1.3.3)
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Suggestsbroom.mixed (>= 0.2.4),cowplot (>= 1.0.0),devtools (>= 2.0.1),ggplot2 (>= 3.1.0),ggpubr (>= 0.2.5),rmarkdown,seqinr (>= 3.4-5),survival (>= 2.43-3),testthat (>= 2.0.1),tidyr (>= 1.1.2)
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagemidasHLA_1.18.0.tar.gz
Windows Binary (x86_64) midasHLA_1.18.0.zip
macOS Binary (x86_64)midasHLA_1.18.0.tgz
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/midasHLA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/midasHLA
Bioc Package Browserhttps://code.bioconductor.org/browse/midasHLA/
Package Short Urlhttps://bioconductor.org/packages/midasHLA/
Package Downloads ReportDownload Stats

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