DESCRIPTION

Package: HLAClustRView
Type: Package
Title: HLA typing clustering and visualization based on specific similarity 
    metrics 
Description: This package implements specialized similarity metrics that
    quantify the similarity between HLA typing from multiple samples. Using 
    these metrics, the package enables hierarchical cluster analysis and can 
    bind RNA-seq expression (when available) to the clusters.
Version: 0.99.0
Date: 2018-11-09
Authors@R: c(person("Pascal", "Belleau", email="pascal_belleau@hotmail.com",
    role=c("cre", "aut"), comment = c(ORCID = "0000-0002-0802-1071")),
    person("Adewunmi", "Adelaja", email="pascal_belleau@hotmail.com",
    role=c("aut")),
    person("Astrid", "Deschênes", email="adeschen@hotmail.com",
    role=c("aut"), comment = c(ORCID = "0000-0001-7846-6749")),
    person("Santiago", "Medina", email="smedina@stowers.org",
    role=c("aut")),
    person("Nissim", "Ranade", email="ranade@cshl.edu",
    role=c("aut")),
    person("Allissa", "Dillman", email="allissa.dillman@nih.gov",
    role=c("aut")))
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
VignetteBuilder: knitr
biocViews: BiologicalQuestion, Software, ImmunoOncology, Clustering, 
    MultipleComparison
Depends: R (>= 3.5.0)
Imports: purrr,
    dplyr,
    tidyr,
    utils,
    stringr,
    data.table,
    stats,
    ComplexHeatmap,
    graphics,
    tibble,
    ape,
    rlang
Suggests: testthat,
    knitr,
    rmarkdown,
    circlize,
    BiocStyle
RoxygenNote: 6.1.1