- recipe bioconductor-lrcelltypemarkers
Marker gene information for LRcell R Bioconductor package
- Homepage:
https://bioconductor.org/packages/3.18/data/experiment/html/LRcellTypeMarkers.html
- License:
MIT + file LICENSE
- Recipe:
This is an external ExperimentData package for LRcell. This data package contains the gene enrichment scores calculated from scRNA-seq dataset which indicates the gene enrichment of each cell type in certain brain region. LRcell package is used to identify specific sub-cell types that drives the changes observed in a bulk RNA-seq differential gene expression experiment. For more details, please visit: https://github.com/marvinquiet/LRcell.
- package bioconductor-lrcelltypemarkers¶
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-lrcelltypemarkers and update with:: mamba update bioconductor-lrcelltypemarkers
To create a new environment, run:
mamba create --name myenvname bioconductor-lrcelltypemarkers
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-lrcelltypemarkers:<tag> (see `bioconductor-lrcelltypemarkers/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-lrcelltypemarkers/README.html)