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midasHLA

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

R package for immunogenomics data handling and association analysis


Bioconductor version: Development (3.24)

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, enter citation("midasHLA")):

Christian Hammer, Maciej Migdał. midasHLA: R package for immunogenomics data handling and association analysis. doi:10.18129/B9.bioc.midasHLA, R package version 1.21.0, https://bioconductor.org/packages/midasHLA.

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("midasHLA")

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("midasHLA")
MiDAS tutorial HTML R Script
MiDAS quick start HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews CellBiology, Genetics, Software, StatisticalMethod
Version1.21.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 years)
License MIT + file LICENCE
Depends R (>= 4.1), MultiAssayExperiment (>= 1.8.3)
Imports assertthat (>= 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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Suggests broom.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

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

Source Package midasHLA_1.21.0.tar.gz
Windows Binary (x86_64) midasHLA_1.21.0.zip
macOS Binary (big-sur-x86_64) midasHLA_1.21.0.tgz
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/midasHLA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/midasHLA
Package Short Url https://bioconductor.org/packages/midasHLA/
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