DESCRIPTION

Package: pcaExplorer
Type: Package
Title: Interactive Visualization of RNA-seq Data Using a Principal Components Approach
Version: 2.17.0
Date: 2020-06-06
Authors@R: c(person("Federico", "Marini", role = c("aut", "cre"), 
    email ="marinif@uni-mainz.de", 
    comment = c(ORCID = '0000-0003-3252-7758')))
Description: This package provides functionality for interactive visualization 
    of RNA-seq datasets based on Principal Components Analysis. The methods provided
    allow for quick information extraction and effective data exploration. A Shiny
    application encapsulates the whole analysis.
License: MIT + file LICENSE
LazyData: TRUE
Imports: 
    DESeq2, 
    SummarizedExperiment, 
    GenomicRanges, 
    IRanges,
    S4Vectors, 
    genefilter, 
    ggplot2 (>= 2.0.0), 
    heatmaply,
    plotly,
    scales,
    NMF, 
    plyr, 
    topGO, 
    limma, 
    GOstats, 
    GO.db, 
    AnnotationDbi, 
    shiny (>= 0.12.0), 
    shinydashboard, 
    shinyBS, 
    ggrepel, 
    DT, 
    shinyAce,
    threejs, 
    biomaRt, 
    pheatmap, 
    knitr, 
    rmarkdown, 
    base64enc,
    tidyr, 
    grDevices, 
    methods
Suggests: 
    testthat, 
    BiocStyle, 
    airway, 
    org.Hs.eg.db, 
    htmltools
URL: https://github.com/federicomarini/pcaExplorer,
    https://federicomarini.github.io/pcaExplorer/
BugReports: https://github.com/federicomarini/pcaExplorer/issues
biocViews: ImmunoOncology, Visualization, RNASeq, DimensionReduction,
    PrincipalComponent, QualityControl, GUI, ReportWriting
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no