DESCRIPTION

Package: singleCellTK
Type: Package
Title: Interactive Analysis of Single Cell RNA-Seq Data
Version: 1.9.1
Author: David Jenkins
Authors@R: c(person(given="David", family="Jenkins", email="dfj@bu.edu", role=c("aut","cre"),
                    comment = c(ORCID = "0000-0002-7451-4288")),
             person(given="Tyler", family="Faits", email="tfaits@bu.edu", role=c("aut")),
             person(given=c("Mohammed", "Muzamil"), family="Khan", email="mmkhan@bu.edu", role=c("aut")),
             person(given="Zhe", family="Wang", email="zhe@bu.edu", role=c("aut")),
             person(given="Emma", family="Briars", email="ebriars@bu.edu", role=c("aut"),
                    comment = c(ORCID = "0000-0001-9350-5523")),
             person(given="Sebastian", family="Carrasco Pro", email="abild@coh.org", role=c("aut")),
             person(given=c("W.", "Evan"), family="Johnson", email="wej@bu.edu", role=c("aut"),
                    comment = c(ORCID = "0000-0002-6247-6595")))
Maintainer: David Jenkins <dfj@bu.edu>
Depends:
    R (>= 3.5),
    SummarizedExperiment,
    SingleCellExperiment,
    DelayedArray,
    Biobase
Description: Run common single cell analysis directly through your browser
    including differential expression, downsampling analysis, and clustering.
License: MIT + file LICENSE
Encoding: UTF-8
biocViews: SingleCell, GeneExpression, DifferentialExpression, Alignment,
    Clustering, ImmunoOncology
LazyData: TRUE
Imports:
    ape,
    colourpicker,
    cluster,
    ComplexHeatmap,
    data.table,
    DESeq2,
    DT,
    ggplot2,
    ggtree,
    gridExtra,
    GSVA (>= 1.26.0),
    GSVAdata,
    limma,
    MAST,
    matrixStats,
    methods,
    multtest,
    plotly,
    RColorBrewer,
    Rtsne,
    S4Vectors,
    shiny,
    shinyjs,
    shinyBS,
    sva,
    reshape2,
    AnnotationDbi,
    shinyalert,
    circlize,
    enrichR,
    shinycssloaders,
    shinythemes,
    umap,
    scater,
    scran,
    hypeR (>= 1.5.1),
    reactable,
    uwot
RoxygenNote: 7.1.2
Suggests:
    celda,
    testthat,
    Rsubread,
    BiocStyle,
    knitr,
    lintr,
    bladderbatch,
    rmarkdown,
    org.Mm.eg.db,
    org.Hs.eg.db,
    scRNAseq,
    xtable,
    spelling,
    GSEABase
VignetteBuilder: knitr
URL: https://compbiomed.github.io/sctk_docs/
BugReports: https://github.com/wevanjohnson/singleCellTK/issues
Language: en-US