DESCRIPTION

Package: scKirby
Type: Package
Title: Automated ingestion and conversion of various single-cell data formats.
Version: 0.1.4
Authors@R: c(person(given = "Brian",
                    family = "Schilder",
                    role = c("cre"),
                    email = "brian_schilder@alumni.brown.edu",
                    comment = c(ORCID = "0000-0001-5949-2191")) )
Description: Automated ingestion and conversion of various single-cell data formats.
License: GPL (>= 3)
URL: https://github.com/neurogenomics/scKirby 
BugReports: https://github.com/neurogenomics/scKirby/issues
Encoding: UTF-8
LazyData: true 
Depends: R (>= 3.6.0)
SystemRequirements: Python (>= 3.7.0) 
biocViews:
  Software, SingleCell
Imports: 
  orthogene, 
  echoconda,
  EWCE,
  ewceData, 
  data.table,
  Matrix,  
  reticulate,
  S4Vectors, 
  Seurat,
  SeuratObject,
  SeuratDisk, 
  anndata,
  SummarizedExperiment,
  SingleCellExperiment,
  LoomExperiment,
  DelayedArray,
  BiocParallel,
  parallel,
  HDF5Array,
  tidyr
Suggests: 
  rworkflows,
  rmarkdown,
  knitr,
  loomR,
  sceasy,
  leidenbase,
  speedglm,
  monocle3,
  monocle,
  SCopeLoomR,
  zellkonverter,
  anndataR,
  future,
  testthat (>= 3.0.0),
  WGCNA
Remotes:
  github::RajLabMSSM/echoconda, 
  github::mojaveazure/seurat-disk, 
  github::mojaveazure/loomR,
  github::cellgeni/sceasy,
  github::cole-trapnell-lab/leidenbase, 
  github::cran/speedglm,
  github::cole-trapnell-lab/monocle3,
  github::aertslab/SCopeLoomR,
  github::scverse/anndataR
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Config/testthat/edition: 3