Package: cellxgenedp
Title: Discover and Access Single Cell Data Sets in the cellxgene Data
        Portal
Version: 1.0.1
Authors@R: 
    c(person(
        given = "Martin",
        family = "Morgan",
        role = c("aut", "cre"),
        email = "mtmorgan.bioc@gmail.com",
        comment = c(ORCID = "0000-0002-5874-8148")
    ),
    person("Kayla", "Interdonato", role = "aut"),
    person(
        "Daniel", "Parker", role = c("aut", "cph"),
        email = "danielaparker@yahoo.com",
        comment = "jsoncons C++ library creator"
    ))
Description: The cellxgene data portal
    (https://cellxgene.cziscience.com/) provides a graphical user
    interface to collections of single-cell sequence data processed in
    standard ways to 'count matrix' summaries. The cellxgenedp package
    provides an alternative, R-based inteface, allowind data
    discovery, viewing, and downloading.
License: Artistic-2.0 | BSL-1.0 | file LICENSE
Encoding: UTF-8
Collate: db.R collections.R datasets.R files.R facets.R keys.R
        cellxgene.R utilities.R cpp11.R jmespath.R cxg.R
Imports: dplyr, httr, curl, jsonlite, utils, tools, parallel, shiny, DT
LinkingTo: cpp11
Suggests: zellkonverter, SingleCellExperiment, HDF5Array, BiocStyle,
        knitr, rmarkdown, testthat (>= 3.0.0), mockery
biocViews: SingleCell, DataImport, ThirdPartyClient
SystemRequirements: C++14
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
VignetteBuilder: knitr
Config/testthat/edition: 3
git_url: https://git.bioconductor.org/packages/cellxgenedp
git_branch: RELEASE_3_15
git_last_commit: d1e1445
git_last_commit_date: 2022-08-22
Date/Publication: 2022-08-25
NeedsCompilation: yes
Packaged: 2022-08-25 21:28:05 UTC; biocbuild
Author: Martin Morgan [aut, cre] (<https://orcid.org/0000-0002-5874-8148>),
  Kayla Interdonato [aut],
  Daniel Parker [aut, cph] (jsoncons C++ library creator)
Maintainer: Martin Morgan <mtmorgan.bioc@gmail.com>
Built: R 4.2.1; x86_64-w64-mingw32; 2022-08-26 10:15:41 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
