- recipe bioconductor-celaref
Single-cell RNAseq cell cluster labelling by reference
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/celaref.html
- License:
GPL-3
- Recipe:
After the clustering step of a single-cell RNAseq experiment, this package aims to suggest labels/cell types for the clusters, on the basis of similarity to a reference dataset. It requires a table of read counts per cell per gene, and a list of the cells belonging to each of the clusters, (for both test and reference data).
- package bioconductor-celaref¶
- versions:
1.20.0-0
,1.18.0-0
,1.16.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.0.0-0
- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0
- depends bioconductor-delayedarray:
>=0.28.0,<0.29.0
- depends bioconductor-mast:
>=1.28.0,<1.29.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-dplyr:
- depends r-ggplot2:
- depends r-magrittr:
- depends r-matrix:
- depends r-readr:
- depends r-rlang:
- depends r-tibble:
- requirements:
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-celaref and update with:: mamba update bioconductor-celaref
To create a new environment, run:
mamba create --name myenvname bioconductor-celaref
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-celaref:<tag> (see `bioconductor-celaref/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-celaref/README.html)