Package: singleCellTK
Type: Package
Title: Interactive Analysis of Single Cell RNA-Seq Data
Version: 1.6.0
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, celda,
        shinycssloaders, shinythemes, umap
RoxygenNote: 6.1.1
Suggests: 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/compbiomed/singleCellTK/issues
Language: en-US
git_url: https://git.bioconductor.org/packages/singleCellTK
git_branch: RELEASE_3_10
git_last_commit: 89de302
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 04:24:31 UTC; biocbuild
Built: R 3.6.1; ; 2019-10-30 14:13:45 UTC; windows
