recipe bioconductor-nebulosa

Single-Cell Data Visualisation Using Kernel Gene-Weighted Density Estimation

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-nebulosa/meta.yaml

This package provides a enhanced visualization of single-cell data based on gene-weighted density estimation. Nebulosa recovers the signal from dropped-out features and allows the inspection of the joint expression from multiple features (e.g. genes). Seurat and SingleCellExperiment objects can be used within Nebulosa.

package bioconductor-nebulosa

(downloads) docker_bioconductor-nebulosa

versions:

1.12.0-01.10.0-01.8.0-01.4.0-01.2.0-01.0.2-01.0.0-1

depends bioconductor-singlecellexperiment:

>=1.24.0,<1.25.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-ggplot2:

depends r-ks:

depends r-matrix:

depends r-patchwork:

depends r-seurat:

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-nebulosa

and update with::

   mamba update bioconductor-nebulosa

To create a new environment, run:

mamba create --name myenvname bioconductor-nebulosa

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-nebulosa:<tag>

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

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