DESCRIPTION

Package: gemma.R
Title: A wrapper for Gemma's Restful API to access curated gene expression data and differential expression analyses
Version: 3.3.1
Authors@R: 
    c(person(given = "Javier", family = "Castillo-Arnemann", 
             role = c("aut"), email = "javiercastilloar@gmail.com",
             comment = c(ORCID = "0000-0002-5626-9004")),
      person(given = "Jordan", family = "Sicherman", 
             role = c("aut"), email = "jordan.sicherman@msl.ubc.ca",
             comment = c(ORCID = "0000-0001-8160-4567")),
      person(given = "Ogan", family = "Mancarci", 
             role = c("cre", "aut"), email = "ogan.mancarci@gmail.com",
             comment = c(ORCID = "0000-0002-1452-0889")),
      person(give = "Guillaume", family = "Poirier-Morency",
             role = c("aut"), email = "poirigui@msl.ubc.ca",
             comment = c(ORCID = "0000-0002-6554-0441")))
Description: Low- and high-level wrappers for Gemma's RESTful API. They enable 
    access to curated expression and differential expression data from over 
    10,000 published studies. Gemma is a web site, database and a set of tools for the 
    meta-analysis, re-use and sharing of genomics data, currently primarily 
    targeted at the analysis of gene expression profiles.
URL: https://pavlidislab.github.io/gemma.R/, https://github.com/PavlidisLab/gemma.R
License: Apache License (>= 2)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
BugReports: https://github.com/PavlidisLab/gemma.R/issues
Imports:
    magrittr,
    glue,
    memoise,
    jsonlite,
    data.table,
    rlang,
    lubridate,
    utils,
    stringr,
    SummarizedExperiment,
    Biobase,
    tibble,
    tidyr,
    S4Vectors,
    httr,
    rappdirs,
    bit64,
    assertthat,
    digest,
    R.utils,
    kableExtra,
    base64enc
Suggests: 
    testthat (>= 2.0.0),
    rmarkdown,
    knitr,
    dplyr,
    covr,
    ggplot2,
    ggrepel,
    BiocStyle,
    microbenchmark,
    magick,
    purrr,
    pheatmap,
    viridis,
    poolr,
    listviewer,
    shiny
Config/testthat/edition: 2
VignetteBuilder: knitr
biocViews: 
    Software,
    DataImport,
    Microarray,
    SingleCell,
    ThirdPartyClient,
    DifferentialExpression,
    GeneExpression,
    Bayesian,
    Annotation,
    ExperimentalDesign,
    Normalization,
    BatchEffect,
    Preprocessing