Package: Spaniel
Type: Package
Title: Spatial Transcriptomics Analysis
Version: 1.27.0
Authors@R: 
    c(person("Rachel", "Queen", role = c("aut", "cre"), email = "rachel.queen@newcastle.ac.uk"))
Description: Spaniel includes a series of tools to aid the quality
        control and analysis of Spatial Transcriptomics data. Spaniel
        can import data from either the original Spatial
        Transcriptomics system or 10X Visium technology. The package
        contains functions to create a SingleCellExperiment Seurat
        object 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
Depends: R (>= 4.0)
Imports: Seurat, SingleCellExperiment, SummarizedExperiment, dplyr,
        methods, ggplot2, scater (>= 1.13), scran, igraph, shiny, jpeg,
        magrittr, utils, S4Vectors, DropletUtils, jsonlite, png
Suggests: knitr, rmarkdown, testthat, devtools
VignetteBuilder: knitr
biocViews: SingleCell, RNASeq, QualityControl, Preprocessing,
        Normalization, Visualization, Transcriptomics, GeneExpression,
        Sequencing, Software, DataImport, DataRepresentation,
        Infrastructure, Coverage, Clustering
Collate: 'utilities.R' 'addClusterCols.R' 'addCoordinates.R'
        'createObjects.R' 'parseImage.R' 'removeSpots.R'
        'spanielPlotInternals.R' 'spanielPlot.R' 'shinySpaniel.R'
        'tenX.R'
RoxygenNote: 7.1.1
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:50:59 UTC
RemoteUrl: https://github.com/bioc/Spaniel
RemoteRef: HEAD
RemoteSha: c4e09da6d7b0bc172999a7f3d997c47c5e0a67f8
NeedsCompilation: no
Packaged: 2026-07-04 12:03:26 UTC; root
Author: Rachel Queen [aut, cre]
Maintainer: Rachel Queen <rachel.queen@newcastle.ac.uk>