DESCRIPTION

Package: rpharma2021tidytranscriptomics
Title: Introduction to Tidy Transcriptomics
Version: 0.11.0
Authors@R: c(
    person("Maria", "Doyle", email="maria.doyle@petermac.org",
    role = c("aut"),
    comment = c(ORCID = "0000-0003-4847-8436")),
    person("Stefano", "Mangiola", email="mangiola.s@wehi.edu.au",
    role = c("aut","cre"),
    comment = c(ORCID = "0000-0001-7474-836X")))
Maintainer: Maria Doyle <maria.doyle@petermac.org>, Stefano Mangiola <mangiola.s@wehi.edu.au>
Description: This workshop will present how to perform analysis of RNA sequencing data following the tidy data paradigm, using the tidybulk, tidyseurat, tidyHeatmap and tidyverse packages.
License: CC BY-SA 4.0 + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Depends:
    R (>= 4.0.0)
Imports:
    tidybulk,
    tidyHeatmap,
    tidySingleCellExperiment,
    tidySummarizedExperiment,
    tidyseurat,
    stats,
    utils,
    tibble,
    stringr,
    ggplot2,
    dplyr,
    readr,
    tidyr,
    purrr,
    forcats,
    limma,
    edgeR,
    DESeq2,
    ggrepel,
    airway,
    org.Hs.eg.db,
    org.Dm.eg.db,
    AnnotationDbi,
    dittoSeq,
    GGally,
    plotly,
    survival,
    SingleR,
    scran,
    scater,
    uwot,
    igraph,
    acepack,
    e1071,
    broom,
    scuttle,
    EnsDb.Hsapiens.v86,
    celldex,
    devtools,
    rlang,
    magrittr,
    batchelor,
    ggbeeswarm
Suggests:
    knitr,
    rmarkdown,
    pkgdown
Biarch: true
biocViews: RNASeq, DifferentialExpression, GeneExpression, Normalization, Clustering, QualityControl, Sequencing, SingleCell, Transcription, Transcriptomics
URL: https://tidytranscriptomics-workshops.github.io/rpharma2021_tidytranscriptomics/
BugReports: https://github.com/tidytranscriptomics-workshops/rpharma2021_tidytranscriptomics/issues/new/choose
VignetteBuilder: knitr