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R package for immunogenomics data handling and association analysis

Bioconductor version: Release (3.19)

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>

Citation (from within R, enter citation("midasHLA")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

MiDAS quick start HTML R Script
MiDAS tutorial HTML R Script
Reference Manual PDF


biocViews CellBiology, Genetics, Software, StatisticalMethod
Version 1.12.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License MIT + file LICENCE
Depends R (>= 4.1), MultiAssayExperiment(>= 1.8.3)
Imports assertthat (>= 0.2.0), broom (>= 0.5.1), dplyr (>=, formattable (>=, 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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Follow Installation instructions to use this package in your R session.

Source Package midasHLA_1.12.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) midasHLA_1.12.0.tgz
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
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