recipe bioconductor-hoodscanr

Spatial cellular neighbourhood scanning in R

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/hoodscanR.html

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-hoodscanr/meta.yaml

hoodscanR is an user-friendly R package providing functions to assist cellular neighborhood analysis of any spatial transcriptomics data with single-cell resolution. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. The package can result in cell-level neighborhood annotation output, along with funtions to perform neighborhood colocalization analysis and neighborhood-based cell clustering.

package bioconductor-hoodscanr

versions:

1.0.0-0

depends bioconductor-complexheatmap:

>=2.18.0,<2.19.0

depends bioconductor-complexheatmap:

>=2.18.0,<2.19.0a0

depends bioconductor-spatialexperiment:

>=1.12.0,<1.13.0

depends bioconductor-spatialexperiment:

>=1.12.0,<1.13.0a0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-circlize:

depends r-ggplot2:

depends r-knitr:

depends r-rann:

depends r-rcpp:

>=1.0.9

depends r-rlang:

depends r-rmarkdown:

depends r-scico:

requirements:

additional platforms:

Installation

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-hoodscanr

and update with::

   mamba update bioconductor-hoodscanr

To create a new environment, run:

mamba create --name myenvname bioconductor-hoodscanr

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 quay.io/biocontainers/bioconductor-hoodscanr:<tag>

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

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Link to this page

Render an badge with the following MarkDown:

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