- 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:
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¶
- versions:
1.12.0-0
,1.10.0-0
,1.8.0-0
,1.4.0-0
,1.2.0-0
,1.0.2-0
,1.0.0-1
- 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>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-nebulosa/README.html)