<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Multi-Modal Immune Repertoire Analytics for Immunotherapy and
Vaccine Design in R</dc:title>
  <dc:title>R package immunarch version 0.10.3</dc:title>
  <dc:subject>CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics)</dc:subject>
  <dc:description>A comprehensive analytics framework for building reproducible pipelines on T-cell and B-cell immune receptor repertoire data.
    Delivers multi-modal immune profiling (bulk, single-cell, CITE-seq/AbSeq, spatial, immunogenicity data), 
    feature engineering (ML-ready feature tables and matrices), and biomarker discovery workflows
    (cohort comparisons, longitudinal tracking, repertoire similarity, enrichment). 
    Provides a user-friendly interface to widely used AIRR methods — 
    clonality/diversity, V(D)J usage, similarity, annotation, tracking, and many more.
    Think Scanpy or Seurat, but for AIRR data, a.k.a. Adaptive Immune Receptor Repertoire, VDJ-seq, RepSeq, or 
    VDJ sequencing data. A successor to our previously published "tcR" R package (Nazarov 2015).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.2.0), ggplot2 (&gt;= 3.1.0), immundata (&gt;= 0.0.5),
patchwork</dc:relation>
  <dc:relation>Imports: dplyr, dtplyr (&gt;= 1.0.0), data.table (&gt;= 1.12.6), cli,
pheatmap (&gt;= 1.0.12), reshape2 (&gt;= 1.4.2), circlize, airr, Rcpp
(&gt;= 1.0), magrittr, methods, scales, rlang, plyr, stringdist,
readr, stringr, tibble, tidyselect, tidyr, ape, doParallel,
rlist, utils, glue, checkmate, duckplyr (&gt;= 1.1.2), dbplyr,
lifecycle, purrr, stats, vctrs, ggthemes, ggsci</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: knitr (&gt;= 1.8), roxygen2 (&gt;= 3.0.0), testthat (&gt;= 3.0.0),
pkgdown (&gt;= 0.1.0), assertthat, rmarkdown, factoextra (&gt;=
1.0.4), fpc, ggpubr (&gt;= 0.2), ggraph, ggseqlogo, igraph,
phangorn, ggalluvial (&gt;= 0.10.0), UpSetR (&gt;= 1.4.0), ggrepel
(&gt;= 0.8.0), shiny (&gt;= 1.4.0), shinythemes, quarto, MASS (&gt;=
7.3), Rtsne (&gt;= 0.15)</dc:relation>
  <dc:creator>Vadim I. Nazarov &lt;support@immunomind.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Vadim I. Nazarov [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-3659-2709&gt;),
  Vasily O. Tsvetkov [aut],
  Aleksandr A. Popov [aut],
  Ivan Balashov [aut]</dc:contributor>
  <dc:rights>Apache License (&gt;= 2.0)</dc:rights>
  <dc:date>2025-10-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=immunarch</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.immunarch</dc:identifier>
</oai_dc:dc>