Package: Spaniel
Type: Package
Title: Spatial Transcriptomics Analysis
Version: 1.4.0
Author: Rachel Queen <rachel.queen@newcastle.ac.uk>
Maintainer: Rachel Queen <rachel.queen@newcastle.ac.uk>
Description: Spaniel includes a series of tools to aid the quality control and 
    analysis of Spatial Transcriptomics data. The package contains functions to 
    create either a Seurat object or SingleCellExperiment from a count matrix
    and spatial barcode file and provides a method of loading a histologial 
    image into R. The spanielPlot function allows visualisation of metrics contained 
    within the S4 object overlaid onto the image of the tissue. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6), Seurat, SingleCellExperiment,
        SummarizedExperiment, dplyr
Imports: methods, ggplot2, scater (>= 1.13.27), shiny, jpeg, magrittr,
        utils, S4Vectors
Suggests: knitr, rmarkdown, testthat, devtools
VignetteBuilder: knitr
RoxygenNote: 6.1.1.9000
Collate: 'utilities.R' 'addClusterCols.R' 'parseImage.R' 'readData.R'
        'removeSpots.R' 'spaniel_plot_internals.R' 'spatialPlot.R'
        'shinySpaniel.R'
biocViews: SingleCell, RNASeq, QualityControl, Preprocessing,
        Normalization, Visualization, Transcriptomics, GeneExpression,
        Sequencing, Software, DataImport, DataRepresentation,
        Infrastructure, Coverage, Clustering
git_url: https://git.bioconductor.org/packages/Spaniel
git_branch: RELEASE_3_12
git_last_commit: 18f2c89
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-28
NeedsCompilation: no
Packaged: 2020-10-29 03:31:10 UTC; biocbuild
Built: R 4.0.3; ; 2020-10-29 13:59:00 UTC; windows
