Package: pcaExplorer
Type: Package
Title: Interactive Visualization of RNA-seq Data Using a Principal
        Components Approach
Version: 2.2.1
Date: 2017-08-28
Authors@R: c(person("Federico", "Marini", email =
        "marinif@uni-mainz.de", role = c("aut", "cre")))
Maintainer: Federico Marini <marinif@uni-mainz.de>
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), d3heatmap, scales,
        NMF, plyr, topGO, limma, GOstats, GO.db, AnnotationDbi, shiny
        (>= 0.12.0), shinydashboard, shinyBS, ggrepel, DT, shinyAce,
        threejs, biomaRt, pheatmap, knitr, rmarkdown, tidyr, grDevices,
        methods
Suggests: testthat, BiocStyle, airway, org.Hs.eg.db
URL: https://github.com/federicomarini/pcaExplorer
BugReports: https://github.com/federicomarini/pcaExplorer/issues
biocViews: Visualization, RNASeq, DimensionReduction,
        PrincipalComponent, QualityControl, GUI, ReportWriting
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Author: Federico Marini [aut, cre]
Packaged: 2017-08-31 02:03:21 UTC; biocbuild
Built: R 3.4.1; ; 2017-08-31 06:36:45 UTC; windows
