This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see midasHLA.
Bioconductor version: 3.15
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")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("midasHLA")
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:
browseVignettes("midasHLA")
HTML | R Script | MiDAS quick start |
HTML | R Script | MiDAS tutorial |
Reference Manual | ||
Text | NEWS |
biocViews | CellBiology, Genetics, Software, StatisticalMethod |
Version | 1.4.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (1.5 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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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | midasHLA_1.4.0.tar.gz |
Windows Binary | midasHLA_1.4.0.zip |
macOS Binary (x86_64) | midasHLA_1.4.0.tgz |
Source Repository | git 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/ |
Package Downloads Report | Download Stats |
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