Package: AbSolution
Title: Interactive Feature-Based Analysis of AIRR-Seq Data
Version: 1.0.2
Authors@R: c(
    person("Rodrigo", "García-Valiente", , "r.garciavaliente@amsterdamumc.nl", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0003-0444-5587", email2 = "rodrigo.garcia.valiente+absolution@email.com")),
    person("Charisios", "Triantafyllou", , "charisios.triantafyllou@genyo.es", role = "aut",
           comment = c(ORCID = "0000-0002-0283-141X")),
    person("Antoine", "van Kampen", , "a.h.c.vankampen@amsterdamumc.nl", role = c("aut", "ths"),
           comment = c(ORCID = "0000-0003-1025-7232"))
  )
Description: An interactive framework for the exploration and analysis
        of adaptive immune receptor repertoire sequencing (AIRR-seq)
        data. It enables large-scale computation and integrated
        analysis of sequence-derived features, including
        physicochemical properties, amino acid descriptor sets,
        sequence motifs, compositional patterns, and somatic
        hypermutation metrics. The application supports multiscale
        analysis across sequences, clones, and repertoires, with
        interactive visualizations and statistical feature selection.
        'AbSolution' also facilitates reproducible research by enabling
        structured export of data, code, parameters, and computational
        environments.  See
        <https://github.com/EDS-Bioinformatics-Laboratory/AbSolution>
        for more details.
License: GPL (>= 3)
URL: https://github.com/EDS-Bioinformatics-Laboratory/AbSolution,
        https://eds-bioinformatics-laboratory.github.io/AbSolution/
BugReports: https://github.com/EDS-Bioinformatics-Laboratory/AbSolution/issues
Depends: R (>= 4.4.0)
Imports: alakazam, attachment, benchmarkme, bigassertr, bigparallelr,
        bigstatsr, Biostrings, bs4Dash, callr, colourpicker, config (>=
        0.3.2), dashboardthemes, data.table, dockerfiler, doParallel,
        dplyr, DT, foreach, fresh, fs, ggplot2, golem (>= 0.4.1),
        grDevices, htmlwidgets, IRanges, knitr, parallel, Peptides,
        plotly, pwalign, reactable, rlang, rmarkdown, seqinr, shiny (>=
        1.7.4), shinycssloaders, shinyFiles, shinyjs, shinymanager,
        shinymeta, shinythemes, shinyWidgets, sortable, stats,
        stringdist, stringr, sunburstR, tools, umap, upsetjs, utils,
        viridis, xfun
Suggests: testthat (>= 3.0.0)
VignetteBuilder: knitr
Additional_repositories: https://bioconductor.org/packages/release/bioc
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake git libglpk-dev make libbz2-dev libgit2-dev
        libicu-dev liblzma-dev libpng-dev libuv1-dev libxml2-dev
        libssl-dev python3 libx11-dev xz-utils zlib1g-dev
Repository: https://eds-bioinformatics-laboratory.r-universe.dev
Date/Publication: 2026-09-25 11:29:50 UTC
RemoteUrl: https://github.com/eds-bioinformatics-laboratory/absolution
RemoteRef: HEAD
RemoteSha: 1e4f9c4485ea73042124b62949c6f8234fd45bb1
NeedsCompilation: no
Packaged: 2026-10-25 11:59:13 UTC; root
Author: Rodrigo García-Valiente [cre, aut] (ORCID:
    <https://orcid.org/0000-0003-0444-5587>, email2:
    rodrigo.garcia.valiente+absolution@email.com),
  Charisios Triantafyllou [aut] (ORCID:
    <https://orcid.org/0000-0002-0283-141X>),
  Antoine van Kampen [aut, ths] (ORCID:
    <https://orcid.org/0000-0003-1025-7232>)
Maintainer: Rodrigo García-Valiente <r.garciavaliente@amsterdamumc.nl>