DESCRIPTION

Package: SCAVENGE
Title: Identifying genetic trait/phenotype relevant cell type/state at single cell resolution
Version: 1.0.2
Date: 2020-01-01
URL: https://github.com/sankaranlab/SCAVENGE
Authors@R: 
    c(person(given = "Fulong",
           family = "Yu",
           role = c("aut", "cre"),
           email = "fyu@broadinstitute.org",
           comment = c(ORCID = "0000-0002-6100-8300")),
    person(given = "Brian",
           family = "Schilder",
           role = c("ctb"),
           email = "brian_schilder@alumni.brown.edu",
           comment = c(ORCID = "0000-0001-5949-2191"))
           )
Description: SCAVENGE (Single Cell Analysis of Variant Enrichment through 
  Network propagation of GEnomic data) optimizes the inference of functional 
  and genetic associations to specific cells at single-cell resolution.
License: GPL (>= 2)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Depends:
    R (>= 4.0.0)
Imports:
    stats,
    RANN,
    igraph,
    parallel,
    Matrix,
    irlba,
    SummarizedExperiment,
    gchromVAR
Suggests: 
    utils,
    dplyr,
    stringr,
    BSgenome.Hsapiens.UCSC.hg19,
    ggplot2,
    data.table,
    knitr,
    rmarkdown,
    methods,
    BiocParallel,
    BiocStyle,
    chromVAR, 
    GenomicRanges,
    S4Vectors,
    BuenColors,
    rworkflows
Remotes:
  github::caleblareau/gchromVAR,
  github::caleblareau/BuenColors,
  github::neurogenomics/rworkflows
biocViews: Variant, Function, CellBasedAssays,
  Network, NetworkEnrichment,NetworkInference,
  Trajectory, CellType, Epigenetics, ATACSeq, SingleCell, Normalization
VignetteBuilder: knitr
LazyData: true