- recipe bioconductor-bearscc
BEARscc (Bayesian ERCC Assesstment of Robustness of Single Cell Clusters)
BEARscc is a noise estimation and injection tool that is designed to assess putative single-cell RNA-seq clusters in the context of experimental noise estimated by ERCC spike-in controls.
- package bioconductor-bearscc¶
- depends bioconductor-singlecellexperiment:
- depends r-base:
- depends r-data.table:
- depends r-ggplot2:
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-bearscc and update with:: mamba update bioconductor-bearscc
To create a new environment, run:
mamba create --name myenvname bioconductor-bearscc
myenvnamebeing 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-bearscc:<tag> (see `bioconductor-bearscc/tags`_ for valid values for ``<tag>``)