recipe bioconductor-spaniel

Spatial Transcriptomics Analysis






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.

package bioconductor-spaniel

(downloads) docker_bioconductor-spaniel



depends bioconductor-dropletutils:


depends bioconductor-s4vectors:


depends bioconductor-scater:


depends bioconductor-scran:


depends bioconductor-singlecellexperiment:


depends bioconductor-summarizedexperiment:


depends r-base:


depends r-dplyr:

depends r-ggplot2:

depends r-igraph:

depends r-jpeg:

depends r-jsonlite:

depends r-magrittr:

depends r-png:

depends r-seurat:

depends r-shiny:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-spaniel

and update with::

   mamba update bioconductor-spaniel

To create a new environment, run:

mamba create --name myenvname bioconductor-spaniel

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-spaniel/tags`_ for valid values for ``<tag>``)

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